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WO2020235010A1 - Information processing device, information processing method, and information processing program - Google Patents

Information processing device, information processing method, and information processing program Download PDF

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Publication number
WO2020235010A1
WO2020235010A1 PCT/JP2019/020151 JP2019020151W WO2020235010A1 WO 2020235010 A1 WO2020235010 A1 WO 2020235010A1 JP 2019020151 W JP2019020151 W JP 2019020151W WO 2020235010 A1 WO2020235010 A1 WO 2020235010A1
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WO
WIPO (PCT)
Prior art keywords
production
search
information
similar
base
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
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PCT/JP2019/020151
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French (fr)
Japanese (ja)
Inventor
佑介 金木
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mitsubishi Electric Corp
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Mitsubishi Electric Corp
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Filing date
Publication date
Application filed by Mitsubishi Electric Corp filed Critical Mitsubishi Electric Corp
Priority to JP2019563916A priority Critical patent/JP6682050B1/en
Priority to CN201980096371.5A priority patent/CN113841177A/en
Priority to PCT/JP2019/020151 priority patent/WO2020235010A1/en
Priority to TW108133996A priority patent/TW202044063A/en
Publication of WO2020235010A1 publication Critical patent/WO2020235010A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/04Manufacturing
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Definitions

  • the present invention relates to a technique for sharing information.
  • a defect that occurs in the production process Y of the production base A may also occur in the production process Y of the production base B. If the information on the defect that occurred in the production process Y of the production base A can be immediately shared with the production base B, it is possible to prevent the same defect from occurring in the production process Y of the production base B. In this way, it is very important for the manufacturing industry to share information on improvement cases or failure cases between production bases.
  • Patent Document 1 describes a method of collecting and managing defect information for each semiconductor manufacturing apparatus in a semiconductor manufacturing process.
  • the device code of the semiconductor manufacturing apparatus and the defect information are associated and managed in a database. Then, the defect information is notified to the production process in which the semiconductor manufacturing apparatus having the same apparatus code is installed.
  • defect information of the semiconductor manufacturing apparatus can be efficiently shared.
  • the improvement case information can be efficiently shared by distributing the improvement case information in the same manner.
  • the method of Patent Document 1 has a problem that only improvement case information or defect case information of the production base where the same device is installed is shared. For example, it is assumed that the same equipment is not installed in the production base P and the production base Q, but the configurations of the production process of the production base P and the production process of the production base Q are similar. In this case, sharing the improvement case information or the defect case information of the production base P with the production base Q is useful for improving the productivity of the production base Q.
  • the improvement case information or the defect case information of the production base P is not shared in the production base Q.
  • the main object of the present invention is to solve such a problem. More specifically, it is a main object of the present invention to obtain a configuration capable of sharing case information of other production bases having a similar configuration of a production process.
  • the information processing device is A search request receiving unit that receives a search request in which one of a plurality of production bases is designated as a search production base.
  • a search unit that extracts other production bases that are similar to the search production base in the configuration of the production process as similar production bases and searches for case information showing cases that occurred at the similar production bases as similar base case information. It has a search response transmission unit that transmits the similar base case information acquired by the search unit to the source of the search request.
  • case information of other production bases having similar production process configurations can be shared.
  • FIG. The figure which shows the functional structure example of the information processing apparatus which concerns on Embodiment 1.
  • FIG. The figure which shows the structural example of the production process of the production base (four-wheeled factory) which concerns on Embodiment 1.
  • FIG. The figure which shows the structural example of the production process of the production base (motorcycle factory) which concerns on Embodiment 1.
  • FIG. The figure which shows the example of the improvement case information which concerns on Embodiment 1.
  • the figure which shows the example of the similarity table which concerns on Embodiment 1.
  • FIG. The figure which shows the example of the production base information generation screen which concerns on Embodiment 1.
  • the flowchart which shows the production base information storage process and the similarity calculation process which concerns on Embodiment 1.
  • FIG. The figure which shows the example of the improvement example information generation screen which concerns on Embodiment 1.
  • FIG. The flowchart which shows the case information storage process which concerns on Embodiment 1.
  • the flowchart which shows the example of the search request reception processing, the search processing and the search response transmission processing which concerns on Embodiment 1.
  • FIG. The figure which shows the example of the search response which concerns on Embodiment 1.
  • FIG. The figure which shows the hardware configuration example of the information processing apparatus which concerns on Embodiment 1.
  • FIG. The figure which shows the functional structure example of the information processing apparatus which concerns on Embodiment 2.
  • FIG. 1 shows an example of a functional configuration of the information processing apparatus 100 according to the first embodiment.
  • FIG. 13 shows an example of the hardware configuration of the information processing apparatus 100.
  • the information processing device 100 is a computer.
  • the operation procedure of the information processing device 100 corresponds to the information processing method.
  • the program that realizes the operation of the information processing device 100 corresponds to the information processing program.
  • the information processing device 100 includes a processor 901, a main storage device 902, an auxiliary storage device 903, and a communication device 904 as hardware.
  • the auxiliary storage device 903 realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109 shown in FIG.
  • the program to be executed is stored. These programs are loaded from the auxiliary storage device 903 into the main storage device 902.
  • the processor 901 executes these programs, and of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109, which will be described later. Do the action.
  • the processor 901 executes a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109. It schematically represents the state in which it is being used. Further, the production base information storage unit 103, the similarity table storage unit 105, and the case information storage unit 107 are realized by the main storage device 902 or the auxiliary storage device 903.
  • the production base information acquisition unit 101 acquires production base information from the user terminal device 200. Further, the production base information acquisition unit 101 outputs the acquired production base information to the production base information storage unit 102.
  • the production base information is composed of production process information and production status information.
  • the production process information describes the composition of the production process of the production base.
  • attributes of the production process such as a factory name, a production process name, and a worker name are described.
  • the production status information values generated according to production such as the number of production, the number of non-defective products, and power consumption are described.
  • the production status information the current value, the past value, the statistical value (average value) for a certain period, etc. are retained.
  • the factory will be described as an example of the production base.
  • the production base is not limited to a factory as long as it is a base where tangible or intangible products are produced. For example, workshops, workshops, software houses, system integrators, design offices, etc. are also included in the production bases.
  • FIG. 2 and 3 show an example of production base information.
  • FIG. 2 shows information on production bases of a company's automobile factory.
  • FIG. 3 shows information on production bases of motorcycle factories of the same company.
  • the production process of the automobile factory shown in FIG. 2 is composed of an engine assembly process and a motor assembly process.
  • the motor assembly process includes a magnetizing process, a bearing insertion process, a stator assembly process, a rotor assembly process, and an inspection process.
  • the voltage is monitored in the magnetizing process.
  • the voltage is also monitored in the stator assembly process.
  • the amount of magnetic flux is monitored in the rotor assembly process.
  • inspection values and quality loss values are monitored.
  • FIG. 1 shows information on production bases of a company's automobile factory.
  • FIG. 3 shows information on production bases of motorcycle factories of the same company.
  • the production process of the automobile factory shown in FIG. 2 is composed of an engine assembly process and a motor assembly process.
  • the motor assembly process includes a magnetizing process, a bearing
  • the four-wheel factory, engine assembly process, motor assembly process, magnetizing process, bearing insertion process, stator assembly process, rotor assembly process, inspection process, and their connection relationships correspond to production process information. ..
  • the voltage, the amount of magnetic flux, the inspection value, and the quality loss correspond to the production status information.
  • the motorcycle production plant shown in FIG. 3 has a similar production process structure, but does not have a magnetizing process and a bearing insertion process.
  • 2 and 3 exemplify the production base information, and do not accurately represent the actual production processes of the four-wheeled factory and the two-wheeled factory. Further, in FIGS. 2 and 3, some steps are omitted for the sake of simplicity of explanation.
  • the production base information storage unit 102 stores the production base information in the production base information storage unit 103. Further, the production base information storage unit 102 outputs the production base information to the similarity calculation unit 104.
  • the production base information storage unit 103 accumulates production base information.
  • the similarity calculation unit 104 calculates the similarity in the configuration of the production process between a plurality of production bases by using the production base information.
  • the similarity calculation unit 104 regards the production base information as a graph structure, and calculates the similarity between the graph structures as the similarity in the configuration of the production process between the plurality of production bases.
  • the similarity calculation unit 104 calculates the similarity between graph structures by, for example, a method such as a tree editing distance. For example, if the similarity between the production base A, the production base B, and the production base C has already been calculated and the production base information of the production base D is newly acquired, the similarity calculation unit 104 may perform the similarity calculation unit 104.
  • the degree of similarity is calculated between the production base D and the production bases A to C.
  • the similarity calculation unit 104 generates a similarity table showing the calculation result of the similarity. Then, the similarity calculation unit 104 stores the similarity table in the similarity table storage unit 105.
  • FIG. 5 shows an example of a similarity table showing the similarity between production bases A to D.
  • the similarity calculation unit 104 may calculate the similarity using a genetic algorithm, a clustering method, machine learning, or the like. Further, the similarity calculation unit 104 may calculate the similarity by combining these methods.
  • the similarity table storage unit 105 stores the similarity table generated by the similarity calculation unit 104.
  • the case information acquisition unit 106 acquires case information from the user terminal device 200. Further, the case information acquisition unit 106 stores the acquired case information in the case information storage unit 107.
  • the case information includes improvement case information and defect case information.
  • the improvement case information shows the improvement cases that occurred at the production base.
  • the defect case information shows the defect cases that occurred at the production base.
  • Case information consists of a structured format and natural language.
  • FIG. 4 shows an example of improvement case information, which is one of the case information.
  • the improvement case information has a format composed of items of production base, production process, measures and effects.
  • the improvement case information describes which production process at which production base the improvement was made.
  • the improvement case information describes what kind of measures were taken and what kind of effect was obtained.
  • Each item is written in natural language.
  • a link with the production base information is set.
  • the terms included in the production base information are underlined. Specific values can be referred to by clicking the mouse on the terms included in the production status information of the production base information.
  • the search response to the search request includes improvement case information.
  • the search response includes the improvement case information of FIG. 4
  • the "voltage”, “magnetic flux amount”, “inspection value” and “effect” included in the "measure” in the user terminal device 200 include "quality loss”.
  • Each specific value can be referred to by clicking with the mouse. For example, if the "inspection value” included in the "measure” is clicked with the mouse, the time series data of the inspection value is displayed on the user terminal device 200, and the user can know how the inspection value has changed. ..
  • the explanation is advanced using the improvement case information as an example of the case information, but the defect case information basically has the same configuration as the improvement case information of FIG.
  • the case information storage unit 107 stores case information.
  • the search request processing unit 108 receives the search request from the user terminal device 200. Further, the search request processing unit 108 transmits a search response, which is a response to the search request, to the user terminal device 200.
  • the search response includes production base information of similar production bases and case information of similar bases. Similar production bases are other production bases that are similar in the process of the search production base and the production process. Further, the similar base case information is case information in which a case occurring at a similar production base is described.
  • FIG. 12 shows an example of a search response.
  • the motorcycle factory is the search production base.
  • a four-wheel factory and an air conditioner factory are searched as similar production bases. Then, in the example of FIG. 12, the production base information of the four-wheeled factory is shown, and the improvement case information of the four-wheeled factory is shown as the similar base case information.
  • FIG. 12 shows an example of a search response.
  • the motorcycle factory is the search production base.
  • a four-wheel factory and an air conditioner factory are searched as similar production bases.
  • the production base information of the four-wheeled factory is shown, and the improvement case information of the four-wheeled factory is shown as the similar base case information.
  • FIG. 12 shows an example of a search
  • the production base information of the automobile factory is different from that in FIG. 2 due to drawing reasons. Further, in FIG. 12, the production base information of the air conditioner factory and the case information of similar bases are not shown for the reason of drawing, but in reality, the production base information of the air conditioner factory and the case information of similar bases are also included. ..
  • the search request processing unit 108 corresponds to a search request receiving unit and a search response transmitting unit. Further, the processing performed by the search request processing unit 108 corresponds to the search request reception processing and the search response transmission processing.
  • the search unit 109 extracts another production base that is similar in the configuration of the production process to the search production base specified in the search request as a similar production base.
  • the search unit 109 refers to the similarity table stored in the similarity table storage unit 105 and extracts similar production bases. Further, the search unit 109 acquires the production base information of similar production bases from the production base information storage unit 103. Further, the search unit 109 searches for similar base case information in the case information storage unit 107.
  • the similar base case information is case information that describes a case that occurred at a similar production base.
  • the search unit 109 generates the search response illustrated in FIG. 12 by using the acquired production base information of the similar production base and the similar base case information.
  • the search unit 109 When the search unit 109 extracts two or more similar production bases and acquires similar base case information of two or more similar production bases, it is based on the degree of similarity with the search production bases of two or more similar production bases. 2. Set a priority between similar base case information of two or more similarity production bases. In the example of FIG. 8, since the automobile factory has a higher degree of similarity to the motorcycle factory than the air conditioner factory, the search unit 109 gives priority so that the improvement case information of the automobile factory is displayed with priority. To set. The process performed by the search unit 109 corresponds to the search process.
  • the production base information generation screen illustrated in FIG. 6 is displayed.
  • the user operates the production base information component on the production base information generation screen to generate graph-structured production base information.
  • the production process part button 211 with the mouse or the like, a list of parts of the production process information is displayed.
  • parts of production process information such as "engine assembly process”, “motor assembly process”, and “magnetization process” are displayed in a pop-up manner, for example.
  • the user can generate production process information by dragging and dropping any of the parts.
  • the production status part button 212 with the mouse or the like, a list of parts of the production status information is displayed.
  • FIG. 6 shows a list of parts of the production status information.
  • parts of production status information such as "voltage”, “magnetic flux amount”, “inspection”, and “quality loss” are popped up, for example.
  • the user can generate production status information by dragging and dropping any of the parts.
  • the user clicks the other parts button 213 with the mouse or the like a list of parts having information other than the production process information and the production status transfer information is displayed. Other information can be generated by dragging and dropping any part.
  • the user terminal device 200 transmits the generated production base information to the information processing device 100.
  • the user terminal device 200 transmits the production base information illustrated in FIG. 2 or FIG. 3 to the information processing device 100.
  • the production base information acquisition unit 101 receives the production base information transmitted from the user terminal device 200 (step S101). Then, the production base information acquisition unit 101 outputs the production base information to the production base information storage unit 102, and the production base information storage unit 102 stores the production base information in the production base information storage unit 103 (step S102). Further, the production base information storage unit 102 outputs the production base information to the similarity calculation unit 104.
  • the similarity calculation unit 104 handles the production process information of the production base information as a graph structure, and calculates the similarity in the configuration of the production process between the production bases (step S103). For example, the similarity calculation unit 104 calculates the similarity between the composition of the production process of the four-wheeled factory and the composition of the production process of the two-wheeled factory by a method such as a tree editing distance. Then, the similarity calculation unit 104 generates a similarity table in which the similarity between production bases is described, and stores the generated similarity table in the similarity table storage unit 105 (step S104).
  • FIG. 8 shows an example of a similarity table.
  • the similarity table of FIG. 8 the similarity between the air conditioner factory, the chemical factory, the automobile factory, and the motorcycle factory is described.
  • the improvement case information generation screen illustrated in FIG. 9 is displayed.
  • the user specifies the production base of the target for which the improvement case information is generated in the production base name designation field 221, and the production base information 222 of the corresponding production base is displayed.
  • the user refers to the production base information 222 and inputs the details of the improvement case in the improvement case information input field 223.
  • improvement case information of the automobile factory is generated.
  • the user terminal device 200 transmits the generated improvement case information to the information processing device 100.
  • the user terminal device 200 transmits the improvement case information illustrated in FIG. 4 to the information processing device 100.
  • the production base information 222 is different from that shown in FIG. 2 due to drawing reasons.
  • the case information acquisition unit 106 receives the case information transmitted from the user terminal device 200 (step S201). Next, the case information acquisition unit 106 stores the case information in the case information storage unit 107 (step S202).
  • the search request processing unit 108 receives the search request transmitted from the user terminal device 200 (step S301).
  • the search request processing unit 108 analyzes the search request and identifies the search production base (step S302). Then, the search request processing unit 108 notifies the search unit 109 of the specified search production base.
  • the search unit 109 reads the similarity table from the similarity table storage unit 105 (step S303).
  • the search unit 109 extracts similar production bases according to the similarity shown in the similarity table (step S304).
  • the search unit 109 extracts the production bases having the highest degree of similarity within the limited number as similar production bases in order. For example, if a company has 10 factories and the number of factories that can include case information in the search response is 5, the search unit 109 has 5 factories in descending order of similarity to the search production base. Extract the factory as a similar production base.
  • the search unit 109 may extract only factories having a similarity equal to or higher than the threshold value as similar production bases. If there is no limit to the number of similar production bases that include case information in the search response, the search unit 109 extracts all factories as similar production bases.
  • the search unit 109 reads the similar base case information, which is the case information of the similarity production base, from the case information storage unit 107 (step S305).
  • the search unit 109 determines the priority among similar base case information according to the degree of similarity (step S306). Specifically, the search unit 109 sets a high priority for similar base case information of similar production bases having a high degree of similarity.
  • the search unit 109 generates a search response in which similar base case information is displayed in the order of priority, and outputs the generated search response to the search request processing unit 108. Then, the search request processing unit 108 transmits the search response to the user terminal device 200 (step S307). As a result, the search response is displayed on the user terminal device 200, and the user can refer to the similar site case information.
  • step S301 it is assumed that the search request processing unit 108 receives the search request in which the motorcycle factory is designated as the search production base. That is, the user is requesting a search for case information of a production base having a similar production process configuration to that of a motorcycle factory.
  • step S302 the search request processing unit 108 identifies the motorcycle factory as the search production base, and notifies the search unit 109 that the search production base is the motorcycle factory.
  • step S303 the search unit 109 reads the similarity table illustrated in FIG. 8 from the similarity table storage unit 105.
  • step S304 the search unit 109 extracts similar production bases from the air conditioner factory, the chemical factory, and the automobile factory from the similarity table of FIG.
  • the search unit 109 extracts the four-wheel factory and the air conditioner factory as similar production bases in descending order of similarity with the two-wheel factory.
  • step S305 the search unit 109 reads out the case information of the automobile factory and the case information of the air conditioner factory from the case information storage unit 107.
  • step S306 the search unit 109 determines the priority order between the case information of the automobile factory and the case information of the air conditioner factory. Since the degree of similarity with the two-wheeled factory is higher in the four-wheeled factory, the search unit 109 sets the priority of the case information of the four-wheeled factory to be high.
  • step S307 the search unit 109 generates a search response in which the case information of the automobile factory is displayed first, and the search request processing unit 108 transmits the search response to the user terminal device 200.
  • the search unit 109 generates the search response shown in FIG.
  • the search unit 109 may search only the case information indicating a specific type of case.
  • the user can specify the type of case in the search request.
  • the search unit 109 searches only the improvement case information of the similar production base as the similar base case information.
  • the search unit 109 searches only the defect case information of the similar production base as the similar base case information.
  • the user can also specify the type of case in the form of an improvement case accompanied by improvement of quality loss.
  • the search unit 109 searches only the improvement case information indicating the improvement of the quality loss of the similar production base as the similar base case information. To do.
  • the search unit 109 can extract related information from any item of each element of the production base information, the graph structure, the improvement case information, and the defect case information. ..
  • the search unit 109 can extract improvement case information / defect case information of similar production bases by using a part of elements of a certain production process information as a keyword.
  • the search unit 109 can extract, for example, improvement case information / defect case information of a production process similar to the production process referred to by the improvement case information / defect case information.
  • the search unit 109 can extract, for example, improvement case information / defect case information of the production process around the production process referred to by the improvement case information / defect case information.
  • the search unit 109 extracts similar production bases and searches for similar base case information. Then, the search request processing unit 108 transmits a search response including the production base information of the similar production base and the similar base case information, which is illustrated in FIG. 12, to the user terminal device 200. Instead of this, the search unit 109 may extract only similar production bases when a search request is received. In this case, the search request processing unit 108 transmits only the production base information of similar production bases to the user terminal device 200. That is, the search request processing unit 108 transmits the information in which the case information is omitted from FIG. 12 to the user terminal device 200.
  • the user terminal device 200 that has received the production base information of a similar production base transmits a case information transmission request.
  • the case information transmission request is a message requesting the transmission of case information indicating a case that occurred at a similar production base.
  • case information transmission request it is possible to request that case information of all cases occurring at similar production bases be transmitted, or only case information of improvement cases occurring at similar production bases or case information of defect cases is transmitted. Can also be requested. Further, in the case information transmission request, it is possible to request that only the case information of a specific production process be transmitted.
  • the search unit 109 searches for the case information (similar base case information) instructed by the case information transmission request.
  • the search request processing unit 108 transmits the similar base case information obtained by the search of the search unit 109 to the user terminal device 200.
  • the search request processing unit 108 may transmit only the case information to the user terminal device 200, or, as illustrated in FIG. 12, transfers the production base information of the similar production base and the similar base case information to the user terminal device 200. You may send it.
  • Embodiment 2 In the present embodiment, the difference from the first embodiment will be mainly described. The matters not explained below are the same as those in the first embodiment.
  • FIG. 14 shows an example of a functional configuration of the information processing apparatus 100 according to the present embodiment.
  • the case information distribution unit 110 is added as compared with the configuration of FIG. Since the components other than the case information distribution unit 110 are the same as those shown in FIG. 1, the description thereof will be omitted.
  • the case information distribution unit 110 is realized by a program in the same manner as the production base information acquisition unit 101 and the like.
  • the program that realizes the function of the case information distribution unit 110 is executed by the processor 901.
  • the case information distribution unit 110 distributes the newly generated or updated case information when the case information of any of the production bases is newly generated or updated.
  • the case information distribution unit 110 is newly generated or updated to another production base that is similar in the configuration of the production process to the production base that generated or updated the newly generated or updated case information.
  • Distribute case information For example, when a new improvement case information is generated in a motorcycle factory, the case information distribution unit 110 newly generates a motorcycle factory in, for example, a four-wheel factory and an air conditioner factory based on the similarity table of FIG. Distribute the improvement case information that has been made.
  • the case information distribution unit 110 receives the newly generated case information or the updated case information. Notify.
  • the case information distribution unit 110 reads out the newly generated case information or the updated case information from the case information storage unit 107.
  • the case information distribution unit 110 reads the similarity table from the similarity table storage unit 105. Then, the case information distribution unit 110 refers to the similarity table and identifies a production base having a similarity equal to or higher than the threshold value with the production base that generated or updated the case information. Then, the case information distribution unit 110 distributes the newly generated or updated case information to the specified production base.
  • each production base can efficiently acquire improvement case information and defect case information at other production bases that are similar in the configuration of the production process.
  • the OS (Operating System) is also stored in the auxiliary storage device 903. Then, at least a part of the OS is executed by the processor 901. While executing at least a part of the OS, the processor 901 executes the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case. The program that realizes the function of the information distribution unit 110 is executed. When the processor 901 executes the OS, task management, memory management, file management, communication control, and the like are performed.
  • Data, signal values and variable values are stored in at least one of the main storage device 902, the auxiliary storage device 903, the registers in the processor 901 and the cache memory.
  • a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 Magnetic discs, flexible discs, optical discs, compact discs, Blu-ray (registered trademark) discs, DVDs, and other portable recording media.
  • a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 The stored portable recording medium may be distributed commercially.
  • the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 are each processing circuits.
  • the superordinate concept of the processor and the processing circuit is referred to as "processing circuit Lee". That is, the processor and the processing circuit are specific examples of the “processing circuit Lee", respectively.
  • 100 Information processing device 101 Production base information acquisition unit, 102 Production base information storage unit, 103 Production base information storage unit, 104 Similarity calculation unit, 105 Similarity table storage unit, 106 Case information acquisition unit, 107 Case information storage unit , 108 search request processing unit, 109 search unit, 110 case information distribution unit, 200 user terminal device, 901 processor, 902 main storage device, 903 auxiliary storage device, 904 communication device.

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Abstract

According to the present invention, a search request processing unit (108) receives a search request in which any production base among a plurality of production bases is designated as a search production base. A search unit (109) extracts, as a similar production base, another production base similar to the search production base in the configuration of a production process, and searches case information in which a case occurring in the similar production base is shown as similar base case information. The search request processing unit (108) transmits the similar base case information acquired by the search unit (109) to a transmission source of the search request.

Description

情報処理装置、情報処理方法及び情報処理プログラムInformation processing equipment, information processing methods and information processing programs

 本発明は、情報を共有する技術に関する。 The present invention relates to a technique for sharing information.

 製造業の生産効率を向上するためには、生産拠点(例えば、工場)間又は生産工程間で改善活動に関する情報を共有する仕組みが重要である。例えば、生産拠点Aの生産工程Xで改善に取り組み、生産性が向上したとする。生産拠点Bにも生産工程Xがあれば、生産拠点Aの生産工程Xでの改善方法を生産拠点Bの生産工程Xに適用することで、生産拠点Bの生産工程Xの生産性を向上できる可能性が高い。
 企業全体で改善事例を効率よく共有できれば、企業全体の生産効率を大きく向上させることができる。また、改善事例に限らず、不具合事例でも企業全体で情報の共有が図られれば、企業全体の生産効率を大きく向上させることができる。例えば、生産拠点Aの生産工程Yで発生した不具合は、生産拠点Bの生産工程Yでも発生する可能性がある。生産拠点Aの生産工程Yで発生した不具合の情報を即時に生産拠点Bでも共有できれば、生産拠点Bの生産工程Yで同じ不具合が発生することを未然に防ぐことができる。
 このように、生産拠点間で改善事例又は不具合事例の情報を共有することは製造業にとって非常に重要である。
In order to improve the production efficiency of the manufacturing industry, it is important to have a mechanism for sharing information on improvement activities between production bases (for example, factories) or between production processes. For example, it is assumed that the productivity is improved by working on the improvement in the production process X of the production base A. If the production base B also has the production process X, the productivity of the production process X of the production base B can be improved by applying the improvement method in the production process X of the production base A to the production process X of the production base B. Probability is high.
If improvement cases can be shared efficiently throughout the company, the production efficiency of the entire company can be greatly improved. Moreover, if information is shared not only in improvement cases but also in defect cases, the production efficiency of the entire company can be greatly improved. For example, a defect that occurs in the production process Y of the production base A may also occur in the production process Y of the production base B. If the information on the defect that occurred in the production process Y of the production base A can be immediately shared with the production base B, it is possible to prevent the same defect from occurring in the production process Y of the production base B.
In this way, it is very important for the manufacturing industry to share information on improvement cases or failure cases between production bases.

 当然ながら、企業では、改善事例又は不具合事例の共有のための様々な取り組みが行われている。例えば、改善事例又は不具合事例に関するレポートをメール展開する、改善事例又は不具合事例をWebサーバで共有する、改善事例又は不具合事例を会議等で周知するといった方法がとられる。
 情報が多く集まれば集まるほど、情報の価値は高まるが、一方で、情報が多くなれば、検索の手間が増えるというジレンマがある。更には、メールが多すぎるため、担当者がメールを見なくなり、改善事例又は不具合事例の情報が担当者に届きにくくなるというジレンマもある。
 実際、大規模な生産拠点では生産工程ごとの縦割りが顕著であり、担当者が隣りの生産工程の改善事例を認識していないといったケースが多くある。
 そのため、生産工程に関わる改善事例情報又は不具合事例情報の検索又は共有を効率化する仕組みが必要である。
As a matter of course, companies are making various efforts to share improvement cases or failure cases. For example, a method of developing a report on an improvement case or a defect case by e-mail, sharing the improvement case or the defect case on a Web server, or disseminating the improvement case or the defect case at a meeting or the like is taken.
The more information you collect, the more valuable the information becomes, but on the other hand, the more information you collect, the more time and effort it takes to search. Furthermore, there is a dilemma that the person in charge does not see the mail because there are too many emails, and it becomes difficult for the person in charge to receive information on improvement cases or failure cases.
In fact, in a large-scale production base, vertical division for each production process is remarkable, and there are many cases where the person in charge does not recognize the improvement case of the adjacent production process.
Therefore, there is a need for a mechanism for streamlining the search or sharing of improvement case information or defect case information related to the production process.

 特許文献1では、半導体製造工程において、半導体製造装置ごとに不具合情報を収集及び管理する方法が述べられている。
 特許文献1では、半導体製造装置の装置コードと不具合情報とが対応付けられてデータベースで管理されている。そして、同一の装置コードを有する半導体製造装置が設置されている生産工程へ不具合情報が通知される。これにより、特許文献1では、半導体製造装置の不具合情報を効率よく共有することができる。また、特許文献1では、改善事例情報も同様の方法で配信することで、改善事例も効率よく共有することができる。
Patent Document 1 describes a method of collecting and managing defect information for each semiconductor manufacturing apparatus in a semiconductor manufacturing process.
In Patent Document 1, the device code of the semiconductor manufacturing apparatus and the defect information are associated and managed in a database. Then, the defect information is notified to the production process in which the semiconductor manufacturing apparatus having the same apparatus code is installed. As a result, in Patent Document 1, defect information of the semiconductor manufacturing apparatus can be efficiently shared. Further, in Patent Document 1, the improvement case information can be efficiently shared by distributing the improvement case information in the same manner.

特開2003-108219号公報Japanese Unexamined Patent Publication No. 2003-108219

 しかしながら、特許文献1の方法では、同じ装置が設置されている生産拠点の改善事例情報又は不具合事例情報しか共有されないという課題がある。
 例えば、生産拠点Pと生産拠点Qには同じ装置は設置されていないものの生産拠点Pの生産工程と生産拠点Qの生産工程の構成が類似している場合を想定する。この場合に、生産拠点Pの改善事例情報又は不具合事例情報を生産拠点Qで共有することは生産拠点Qの生産性の向上にとって有用である。しかしながら、特許文献1の方法では、生産拠点Pと生産拠点Qには同じ装置は設置されていないので、生産拠点Pの改善事例情報又は不具合事例情報は生産拠点Qでは共有されない。
However, the method of Patent Document 1 has a problem that only improvement case information or defect case information of the production base where the same device is installed is shared.
For example, it is assumed that the same equipment is not installed in the production base P and the production base Q, but the configurations of the production process of the production base P and the production process of the production base Q are similar. In this case, sharing the improvement case information or the defect case information of the production base P with the production base Q is useful for improving the productivity of the production base Q. However, in the method of Patent Document 1, since the same device is not installed in the production base P and the production base Q, the improvement case information or the defect case information of the production base P is not shared in the production base Q.

 本発明は、このような課題を解決することを主な目的とする。より具体的には、本発明は、生産工程の構成が類似する他の生産拠点の事例情報を共有することができる構成を得ることを主な目的とする。 The main object of the present invention is to solve such a problem. More specifically, it is a main object of the present invention to obtain a configuration capable of sharing case information of other production bases having a similar configuration of a production process.

 本発明に係る情報処理装置は、
 複数の生産拠点のうちのいずれかの生産拠点が検索生産拠点として指定される検索要求を受信する検索要求受信部と、
 前記検索生産拠点と生産工程の構成において類似する他の生産拠点を類似生産拠点として抽出し、前記類似生産拠点で発生した事例が示される事例情報を類似拠点事例情報として検索する検索部と、
 前記検索部により取得された前記類似拠点事例情報を前記検索要求の送信元に送信する検索応答送信部とを有する。
The information processing device according to the present invention is
A search request receiving unit that receives a search request in which one of a plurality of production bases is designated as a search production base.
A search unit that extracts other production bases that are similar to the search production base in the configuration of the production process as similar production bases and searches for case information showing cases that occurred at the similar production bases as similar base case information.
It has a search response transmission unit that transmits the similar base case information acquired by the search unit to the source of the search request.

 本発明によれば、生産工程の構成が類似する他の生産拠点の事例情報を共有することができる。 According to the present invention, case information of other production bases having similar production process configurations can be shared.

実施の形態1に係る情報処理装置の機能構成例を示す図。The figure which shows the functional structure example of the information processing apparatus which concerns on Embodiment 1. FIG. 実施の形態1に係る生産拠点(四輪工場)の生産工程の構成例を示す図。The figure which shows the structural example of the production process of the production base (four-wheeled factory) which concerns on Embodiment 1. FIG. 実施の形態1に係る生産拠点(二輪工場)の生産工程の構成例を示す図。The figure which shows the structural example of the production process of the production base (motorcycle factory) which concerns on Embodiment 1. FIG. 実施の形態1に係る改善事例情報の例を示す図。The figure which shows the example of the improvement case information which concerns on Embodiment 1. 実施の形態1に係る類似度テーブルの例を示す図。The figure which shows the example of the similarity table which concerns on Embodiment 1. FIG. 実施の形態1に係る生産拠点情報生成画面の例を示す図。The figure which shows the example of the production base information generation screen which concerns on Embodiment 1. 実施の形態1に係る生産拠点情報格納処理及び類似度算出処理を示すフローチャート。The flowchart which shows the production base information storage process and the similarity calculation process which concerns on Embodiment 1. 実施の形態1に係る類似度テーブルの例を示す図。The figure which shows the example of the similarity table which concerns on Embodiment 1. FIG. 実施の形態1に係る改善事例情報生成画面の例を示す図。The figure which shows the example of the improvement example information generation screen which concerns on Embodiment 1. FIG. 実施の形態1に係る事例情報格納処理を示すフローチャート。The flowchart which shows the case information storage process which concerns on Embodiment 1. 実施の形態1に係る検索要求受信処理、検索処理及び検索応答送信処理の例を示すフローチャート。The flowchart which shows the example of the search request reception processing, the search processing and the search response transmission processing which concerns on Embodiment 1. FIG. 実施の形態1に係る検索応答の例を示す図。The figure which shows the example of the search response which concerns on Embodiment 1. FIG. 実施の形態1に係る情報処理装置のハードウェア構成例を示す図。The figure which shows the hardware configuration example of the information processing apparatus which concerns on Embodiment 1. FIG. 実施の形態2に係る情報処理装置の機能構成例を示す図。The figure which shows the functional structure example of the information processing apparatus which concerns on Embodiment 2.

 以下、本発明の実施の形態について、図を用いて説明する。以下の実施の形態の説明及び図面において、同一の符号を付したものは、同一の部分又は相当する部分を示す。 Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the following description and drawings of the embodiments, those having the same reference numerals indicate the same parts or corresponding parts.

 実施の形態1.
***構成の説明***
 図1は、実施の形態1に係る情報処理装置100の機能構成例を示す。
 また、図13は、情報処理装置100のハードウェア構成例を示す。
 情報処理装置100はコンピュータである。情報処理装置100の動作手順は、情報処理方法に相当する。また、情報処理装置100の動作を実現するプログラムは、情報処理プログラムに相当する。
 先ず、図13を参照して、情報処理装置100のハードウェア構成例を説明する。
Embodiment 1.
*** Explanation of configuration ***
FIG. 1 shows an example of a functional configuration of the information processing apparatus 100 according to the first embodiment.
Further, FIG. 13 shows an example of the hardware configuration of the information processing apparatus 100.
The information processing device 100 is a computer. The operation procedure of the information processing device 100 corresponds to the information processing method. Further, the program that realizes the operation of the information processing device 100 corresponds to the information processing program.
First, a hardware configuration example of the information processing apparatus 100 will be described with reference to FIG.

 情報処理装置100は、ハードウェアとして、プロセッサ901、主記憶装置902、補助記憶装置903及び通信装置904を備える。
 補助記憶装置903には、図1に示す生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108及び検索部109の機能を実現するプログラムが記憶されている。
 これらプログラムは、補助記憶装置903から主記憶装置902にロードされる。そして、プロセッサ901がこれらプログラムを実行して、後述する生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108及び検索部109の動作を行う。
 図13では、プロセッサ901が生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108及び検索部109の機能を実現するプログラムを実行している状態を模式的に表している。
 また、生産拠点情報蓄積部103、類似度テーブル記憶部105及び事例情報蓄積部107は、主記憶装置902又は補助記憶装置903により実現される。
The information processing device 100 includes a processor 901, a main storage device 902, an auxiliary storage device 903, and a communication device 904 as hardware.
The auxiliary storage device 903 realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109 shown in FIG. The program to be executed is stored.
These programs are loaded from the auxiliary storage device 903 into the main storage device 902. Then, the processor 901 executes these programs, and of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109, which will be described later. Do the action.
In FIG. 13, the processor 901 executes a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, and the search unit 109. It schematically represents the state in which it is being used.
Further, the production base information storage unit 103, the similarity table storage unit 105, and the case information storage unit 107 are realized by the main storage device 902 or the auxiliary storage device 903.

 次に、図1を参照して、情報処理装置100の機能構成例を説明する。 Next, a functional configuration example of the information processing apparatus 100 will be described with reference to FIG.

 生産拠点情報取得部101は、ユーザ端末装置200から生産拠点情報を取得する。また、生産拠点情報取得部101は、取得した生産拠点情報を生産拠点情報格納部102に出力する。 The production base information acquisition unit 101 acquires production base information from the user terminal device 200. Further, the production base information acquisition unit 101 outputs the acquired production base information to the production base information storage unit 102.

 生産拠点情報は、生産工程情報と生産状況情報とで構成される。
 生産工程情報は、生産拠点の生産工程の構成が記述される。生産工程情報には、例えば、工場名、生産工程名、作業者名等の生産工程の属性が記述される。生産状況情報には、生産数、良品数、消費電力等、生産に応じて発生する値が記述される。生産状況情報では、現在値、過去の値、一定期間の統計値(平均値)等が保持される
 なお、本実施の形態では、生産拠点の例として工場を説明する。生産拠点は、有体物又は無体物の生産が行われる拠点であれば工場に限らない。例えば、工房、ワークショップ、ソフトウェアハウス、システムインテグレータ、設計事務所等も生産拠点に含まれる。
The production base information is composed of production process information and production status information.
The production process information describes the composition of the production process of the production base. In the production process information, for example, attributes of the production process such as a factory name, a production process name, and a worker name are described. In the production status information, values generated according to production such as the number of production, the number of non-defective products, and power consumption are described. In the production status information, the current value, the past value, the statistical value (average value) for a certain period, etc. are retained. In the present embodiment, the factory will be described as an example of the production base. The production base is not limited to a factory as long as it is a base where tangible or intangible products are produced. For example, workshops, workshops, software houses, system integrators, design offices, etc. are also included in the production bases.

 図2及び図3は、生産拠点情報の例を示す。
 図2は、ある企業の四輪工場の生産拠点情報である。図3は、同じ企業の二輪工場の生産拠点情報である。
 図2の四輪工場の生産工程は、エンジン組立工程、モータ組立工程から構成される。更に、モータ組立工程は、着磁処理工程、ベアリング挿入工程、ステータ組立工程、ロータ組立工程、検査工程から構成される。着磁処理工程では電圧が監視される。また、ステータ組立工程でも電圧が監視される。ロータ組立工程では磁束量が監視される。検査工程では検査値及び品質ロスの値が監視される。
 図2の例では、四輪工場、エンジン組立工程、モータ組立工程、着磁処理工程、ベアリング挿入工程、ステータ組立工程、ロータ組立工程、検査工程、及びこれらの接続関係が生産工程情報に相当する。また、図2の例では、電圧、磁束量、検査値、品質ロスが生産状況情報に相当する。例えば、ユーザ端末装置200において検査値をマウスクリック等することにより、現在の検査値、過去の検査値、検査値の一定期間の統計値(平均値)等を表示させることができる。
 図3の二輪生産工場も同じような生産工程の構成であるが、着磁処理工程、ベアリング挿入工程がない。
 図2及び図3は、生産拠点情報を例示するものであり、実際の四輪工場及び二輪工場の生産工程を正確に表しているわけではない。また、図2及び図3では、説明の簡明化のために、省略している工程もある。
2 and 3 show an example of production base information.
FIG. 2 shows information on production bases of a company's automobile factory. FIG. 3 shows information on production bases of motorcycle factories of the same company.
The production process of the automobile factory shown in FIG. 2 is composed of an engine assembly process and a motor assembly process. Further, the motor assembly process includes a magnetizing process, a bearing insertion process, a stator assembly process, a rotor assembly process, and an inspection process. The voltage is monitored in the magnetizing process. The voltage is also monitored in the stator assembly process. The amount of magnetic flux is monitored in the rotor assembly process. In the inspection process, inspection values and quality loss values are monitored.
In the example of FIG. 2, the four-wheel factory, engine assembly process, motor assembly process, magnetizing process, bearing insertion process, stator assembly process, rotor assembly process, inspection process, and their connection relationships correspond to production process information. .. Further, in the example of FIG. 2, the voltage, the amount of magnetic flux, the inspection value, and the quality loss correspond to the production status information. For example, by clicking the inspection value with a mouse on the user terminal device 200, the current inspection value, the past inspection value, the statistical value (average value) of the inspection value for a certain period, and the like can be displayed.
The motorcycle production plant shown in FIG. 3 has a similar production process structure, but does not have a magnetizing process and a bearing insertion process.
2 and 3 exemplify the production base information, and do not accurately represent the actual production processes of the four-wheeled factory and the two-wheeled factory. Further, in FIGS. 2 and 3, some steps are omitted for the sake of simplicity of explanation.

 生産拠点情報格納部102は、生産拠点情報を生産拠点情報蓄積部103に格納する。
 また、生産拠点情報格納部102は、生産拠点情報を類似度算出部104に出力する。
The production base information storage unit 102 stores the production base information in the production base information storage unit 103.
Further, the production base information storage unit 102 outputs the production base information to the similarity calculation unit 104.

 生産拠点情報蓄積部103は、生産拠点情報を蓄積する。 The production base information storage unit 103 accumulates production base information.

 類似度算出部104は、生産拠点情報を用いて、複数の生産拠点間の生産工程の構成における類似度を算出する。
 類似度算出部104は、生産拠点情報をグラフ構造と捉え、複数の生産拠点間の生産工程の構成における類似度として、グラフ構造同士の類似度を算出する。類似度算出部104は、例えば、木編集距離等の手法により、グラフ構造同士の類似度を算出する。例えば、生産拠点A、生産拠点B及び生産拠点Cの各々の間の類似度が算出済みである状況で、新しく生産拠点Dの生産拠点情報が取得された場合は、類似度算出部104は、生産拠点Dと生産拠点A~Cの間で類似度を算出する。
 類似度算出部104は、類似度の算出結果を示す類似度テーブルを生成する。そして、類似度算出部104は、類似度テーブルを類似度テーブル記憶部105に格納する。
The similarity calculation unit 104 calculates the similarity in the configuration of the production process between a plurality of production bases by using the production base information.
The similarity calculation unit 104 regards the production base information as a graph structure, and calculates the similarity between the graph structures as the similarity in the configuration of the production process between the plurality of production bases. The similarity calculation unit 104 calculates the similarity between graph structures by, for example, a method such as a tree editing distance. For example, if the similarity between the production base A, the production base B, and the production base C has already been calculated and the production base information of the production base D is newly acquired, the similarity calculation unit 104 may perform the similarity calculation unit 104. The degree of similarity is calculated between the production base D and the production bases A to C.
The similarity calculation unit 104 generates a similarity table showing the calculation result of the similarity. Then, the similarity calculation unit 104 stores the similarity table in the similarity table storage unit 105.

 図5は、生産拠点A~Dの相互間の類似度が表される類似度テーブルの例を示す。図5では、値が大きい程、類似度が高いものとする。
 また、類似度算出部104は、遺伝的アルゴリズム、クラスタリング手法、機械学習等を用いて類似度を算出してもよい。また、類似度算出部104は、これらの手法を組み合わせて類似度を算出してもよい。
FIG. 5 shows an example of a similarity table showing the similarity between production bases A to D. In FIG. 5, the larger the value, the higher the similarity.
In addition, the similarity calculation unit 104 may calculate the similarity using a genetic algorithm, a clustering method, machine learning, or the like. Further, the similarity calculation unit 104 may calculate the similarity by combining these methods.

 類似度テーブル記憶部105は、類似度算出部104により生成された類似度テーブルを記憶する。 The similarity table storage unit 105 stores the similarity table generated by the similarity calculation unit 104.

 事例情報取得部106は、ユーザ端末装置200から事例情報を取得する。また、事例情報取得部106は、取得した事例情報を事例情報蓄積部107に格納する。
 事例情報には、改善事例情報と不具合事例情報とが含まれる。
 改善事例情報には、生産拠点で発生した改善事例が示される。不具合事例情報には生産拠点で発生した不具合事例が示される。
 事例情報は、構造化されたフォーマットと自然言語で構成される。
The case information acquisition unit 106 acquires case information from the user terminal device 200. Further, the case information acquisition unit 106 stores the acquired case information in the case information storage unit 107.
The case information includes improvement case information and defect case information.
The improvement case information shows the improvement cases that occurred at the production base. The defect case information shows the defect cases that occurred at the production base.
Case information consists of a structured format and natural language.

 図4は、事例情報の1つである、改善事例情報の例を示す。
 改善事例情報は、生産拠点、生産工程、施策及び効果の項目から構成されるフォーマットを有する。
 改善事例情報では、どの生産拠点のどの生産工程で改善が行われたかが記述される。また、改善事例情報では、どのような施策が行われ、どのような効果が得られたのかが記述される。各項目は、自然言語で記述される。また、生産拠点情報に含まれる用語では、生産拠点情報とのリンクが設定される。図4では、生産拠点情報に含まれる用語には下線が付されている。生産拠点情報の生産状況情報に含まれる用語をマウスクリック等することにより、具体的な値を参照することができる。具体的には、「施策」に含まれる「電圧」、「磁束量」、「検査値」、「効果」に含まれる「品質ロス」の具体的な値を参照することができる。
 後述するように、検索要求に対する検索応答には改善事例情報が含まれる。検索応答に図4の改善事例情報が含まれる場合に、ユーザ端末装置200において「施策」に含まれる「電圧」、「磁束量」、「検査値」及び「効果」に含まれる「品質ロス」をマウスクリック等することにより、それぞれの具体的な値を参照することができる。例えば、「施策」に含まれる「検査値」をマウスクリック等すれば、検査値の時系列データがユーザ端末装置200において表示され、ユーザはどのように検査値が変化したのかを知ることができる。
 本実施の形態では、事例情報の例として、改善事例情報を用いて説明を進めるが、不具合事例情報も基本的には、図4の改善事例情報と同様の構成である。
FIG. 4 shows an example of improvement case information, which is one of the case information.
The improvement case information has a format composed of items of production base, production process, measures and effects.
The improvement case information describes which production process at which production base the improvement was made. In addition, the improvement case information describes what kind of measures were taken and what kind of effect was obtained. Each item is written in natural language. In addition, in terms included in the production base information, a link with the production base information is set. In FIG. 4, the terms included in the production base information are underlined. Specific values can be referred to by clicking the mouse on the terms included in the production status information of the production base information. Specifically, specific values of "voltage", "magnetic flux amount", "inspection value", and "effect" included in "measures" can be referred to.
As will be described later, the search response to the search request includes improvement case information. When the search response includes the improvement case information of FIG. 4, the "voltage", "magnetic flux amount", "inspection value" and "effect" included in the "measure" in the user terminal device 200 include "quality loss". Each specific value can be referred to by clicking with the mouse. For example, if the "inspection value" included in the "measure" is clicked with the mouse, the time series data of the inspection value is displayed on the user terminal device 200, and the user can know how the inspection value has changed. ..
In the present embodiment, the explanation is advanced using the improvement case information as an example of the case information, but the defect case information basically has the same configuration as the improvement case information of FIG.

 事例情報蓄積部107は、事例情報を蓄積する。 The case information storage unit 107 stores case information.

 検索要求処理部108は、ユーザ端末装置200から検索要求を受信する。また、検索要求処理部108は、検索要求に対する応答である検索応答をユーザ端末装置200に送信する。 The search request processing unit 108 receives the search request from the user terminal device 200. Further, the search request processing unit 108 transmits a search response, which is a response to the search request, to the user terminal device 200.

 検索要求では、いずれかの生産拠点が検索生産拠点として指定される。
 また、検索応答には、類似生産拠点の生産拠点情報と類似拠点事例情報が含まれる。
 類似生産拠点は、検索生産拠点と生産工程の工程において類似する他の生産拠点である。また、類似拠点事例情報は、類似生産拠点で発生した事例が記述される事例情報である。
 図12は、検索応答の例を示す。図12の例では、二輪工場が検索生産拠点である。また、図12の例では、類似生産拠点として、四輪工場とエアーコンディショナー工場が検索されている。そして、図12の例では、四輪工場の生産拠点情報が示され、また四輪工場の改善事例情報が類似拠点事例情報として示される。図12では作図上の理由より四輪工場の生産拠点情報が図2のものとは異なっている。また、図12では作図上の理由よりエアーコンディショナー工場の生産拠点情報と類似拠点事例情報の図示は省略されているが、実際には、エアーコンディショナー工場の生産拠点情報と類似拠点事例情報も含まれる。
 なお、検索要求処理部108は、検索要求受信部及び検索応答送信部に相当する。また、検索要求処理部108により行われる処理は、検索要求受信処理及び検索応答送信処理に相当する。
In the search request, one of the production bases is designated as the search production base.
In addition, the search response includes production base information of similar production bases and case information of similar bases.
Similar production bases are other production bases that are similar in the process of the search production base and the production process. Further, the similar base case information is case information in which a case occurring at a similar production base is described.
FIG. 12 shows an example of a search response. In the example of FIG. 12, the motorcycle factory is the search production base. Further, in the example of FIG. 12, a four-wheel factory and an air conditioner factory are searched as similar production bases. Then, in the example of FIG. 12, the production base information of the four-wheeled factory is shown, and the improvement case information of the four-wheeled factory is shown as the similar base case information. In FIG. 12, the production base information of the automobile factory is different from that in FIG. 2 due to drawing reasons. Further, in FIG. 12, the production base information of the air conditioner factory and the case information of similar bases are not shown for the reason of drawing, but in reality, the production base information of the air conditioner factory and the case information of similar bases are also included. ..
The search request processing unit 108 corresponds to a search request receiving unit and a search response transmitting unit. Further, the processing performed by the search request processing unit 108 corresponds to the search request reception processing and the search response transmission processing.

 検索部109は、検索要求で指定された検索生産拠点と生産工程の構成において類似する他の生産拠点を類似生産拠点として抽出する。検索部109は、類似度テーブル記憶部105で記憶されている類似度テーブルを参照して、類似生産拠点を抽出する。
 また、検索部109は、類似生産拠点の生産拠点情報を生産拠点情報蓄積部103から取得する。更に、検索部109は、事例情報蓄積部107において類似拠点事例情報を検索する。類似拠点事例情報は、前述したように、類似生産拠点で発生した事例が記述される事例情報である。
 検索部109は、取得した類似生産拠点の生産拠点情報と類似拠点事例情報を用いて、図12に例示する検索応答を生成する。
 なお、検索部109は、2以上の類似生産拠点を抽出し、2以上の類似生産拠点の類似拠点事例情報を取得した場合は、2以上の類似生産拠点の検索生産拠点との類似度に基づき、2以上の類似度生産拠点の類似拠点事例情報間に優先順位を設定する。図8の例では、四輪工場の方がエアーコンディショナー工場よりも二輪工場との類似度が高いので、検索部109は、四輪工場の改善事例情報が優先して表示されるように優先順位を設定する。
 なお、検索部109により行われる処理は、検索処理に相当する。
The search unit 109 extracts another production base that is similar in the configuration of the production process to the search production base specified in the search request as a similar production base. The search unit 109 refers to the similarity table stored in the similarity table storage unit 105 and extracts similar production bases.
Further, the search unit 109 acquires the production base information of similar production bases from the production base information storage unit 103. Further, the search unit 109 searches for similar base case information in the case information storage unit 107. As described above, the similar base case information is case information that describes a case that occurred at a similar production base.
The search unit 109 generates the search response illustrated in FIG. 12 by using the acquired production base information of the similar production base and the similar base case information.
When the search unit 109 extracts two or more similar production bases and acquires similar base case information of two or more similar production bases, it is based on the degree of similarity with the search production bases of two or more similar production bases. 2. Set a priority between similar base case information of two or more similarity production bases. In the example of FIG. 8, since the automobile factory has a higher degree of similarity to the motorcycle factory than the air conditioner factory, the search unit 109 gives priority so that the improvement case information of the automobile factory is displayed with priority. To set.
The process performed by the search unit 109 corresponds to the search process.

***動作の説明***
 先ず、ユーザによる生産拠点情報の生成について説明する。
*** Explanation of operation ***
First, the generation of production base information by the user will be described.

 ユーザ端末装置200では、図6に例示する生産拠点情報生成画面が表示される。ユーザは、生産拠点情報生成画面上で生産拠点情報部品を操作して、グラフ構造の生産拠点情報を生成する。
 ユーザが生産工程部品ボタン211をマウスクリック等すると、生産工程情報の部品のリストが表示される。図6の例では、「エンジン組立工程」、「モータ組立工程」、「着磁処理」等の生産工程情報の部品が例えばポップアップ表示される。ユーザは、いずれかの部品をドラッグ&ドロップすることで生産工程情報を生成することができる。
 同様に、ユーザが生産状況部品ボタン212をマウスクリック等すると、生産状況情報の部品のリストが表示される。図6の例では、「電圧」、「磁束量」、「検査」、「品質ロス」等の生産状況情報の部品が例えばポップアップ表示される。ユーザは、いずれかの部品をドラッグ&ドロップすることで生産状況情報を生成することができる。
 ユーザがその他部品ボタン213をマウスクリック等すると、生産工程情報及び生産状況譲情報以外の情報の部品のリストが表示される。いずれかの部品をドラッグ&ドロップすることでその他の情報を生成することができる。
 ユーザ端末装置200は、生成された生産拠点情報を情報処理装置100に送信する。例えば、ユーザ端末装置200は、図2又は図3に例示する生産拠点情報を情報処理装置100に送信する。
In the user terminal device 200, the production base information generation screen illustrated in FIG. 6 is displayed. The user operates the production base information component on the production base information generation screen to generate graph-structured production base information.
When the user clicks the production process part button 211 with the mouse or the like, a list of parts of the production process information is displayed. In the example of FIG. 6, parts of production process information such as "engine assembly process", "motor assembly process", and "magnetization process" are displayed in a pop-up manner, for example. The user can generate production process information by dragging and dropping any of the parts.
Similarly, when the user clicks the production status part button 212 with the mouse or the like, a list of parts of the production status information is displayed. In the example of FIG. 6, parts of production status information such as "voltage", "magnetic flux amount", "inspection", and "quality loss" are popped up, for example. The user can generate production status information by dragging and dropping any of the parts.
When the user clicks the other parts button 213 with the mouse or the like, a list of parts having information other than the production process information and the production status transfer information is displayed. Other information can be generated by dragging and dropping any part.
The user terminal device 200 transmits the generated production base information to the information processing device 100. For example, the user terminal device 200 transmits the production base information illustrated in FIG. 2 or FIG. 3 to the information processing device 100.

 次に、図7を参照して、情報処理装置100による生産拠点情報格納処理及び類似度算出処理を説明する。 Next, with reference to FIG. 7, the production base information storage process and the similarity calculation process by the information processing apparatus 100 will be described.

 先ず、生産拠点情報取得部101が、ユーザ端末装置200から送信された生産拠点情報を受信する(ステップS101)。
 そして、生産拠点情報取得部101は生産拠点情報格納部102に生産拠点情報を出力し、生産拠点情報格納部102が生産拠点情報を生産拠点情報蓄積部103に格納する(ステップS102)。また、生産拠点情報格納部102は、生産拠点情報を類似度算出部104に出力する。
First, the production base information acquisition unit 101 receives the production base information transmitted from the user terminal device 200 (step S101).
Then, the production base information acquisition unit 101 outputs the production base information to the production base information storage unit 102, and the production base information storage unit 102 stores the production base information in the production base information storage unit 103 (step S102). Further, the production base information storage unit 102 outputs the production base information to the similarity calculation unit 104.

 次に、類似度算出部104は、生産拠点情報の生産工程情報をグラフ構造として扱い、生産拠点間の生産工程の構成における類似度を算出する(ステップS103)。
 例えば、類似度算出部104は、木編集距離等の手法により、四輪工場の生産工程の構成と二輪工場の生産工程の構成との類似度を算出する。
 そして、類似度算出部104は、生産拠点間の類似度が記述される類似度テーブルを生成し、生成した類似度テーブルを類似度テーブル記憶部105に格納する(ステップS104)。
Next, the similarity calculation unit 104 handles the production process information of the production base information as a graph structure, and calculates the similarity in the configuration of the production process between the production bases (step S103).
For example, the similarity calculation unit 104 calculates the similarity between the composition of the production process of the four-wheeled factory and the composition of the production process of the two-wheeled factory by a method such as a tree editing distance.
Then, the similarity calculation unit 104 generates a similarity table in which the similarity between production bases is described, and stores the generated similarity table in the similarity table storage unit 105 (step S104).

 図8は、類似度テーブルの例を示す。
 図8の類似度テーブルでは、エアーコンディショナー工場と薬品工場と四輪工場と二輪工場の相互間の類似度が記述される。図8では、値が大きい程、類似度が高いものとする。
FIG. 8 shows an example of a similarity table.
In the similarity table of FIG. 8, the similarity between the air conditioner factory, the chemical factory, the automobile factory, and the motorcycle factory is described. In FIG. 8, the larger the value, the higher the similarity.

 次に、ユーザによる事例情報の生成について説明する。以下では、改善事例情報の生成を説明する。 Next, the generation of case information by the user will be described. In the following, the generation of improvement case information will be described.

 ユーザ端末装置200では、図9に例示する改善事例情報生成画面が表示される。
 ユーザは、生産拠点名指定欄221で改善事例情報を生成する対象の生産拠点を指定することで、該当する生産拠点の生産拠点情報222が表示される。ユーザは、生産拠点情報222を参照し、改善事例情報入力欄223に改善事例の詳細を入力する。
 図9では、四輪工場の改善事例情報が生成されている。
 生産拠点情報222の各要素(「四輪工場」、「モータ組立工程」等)をマウスクリック等することにより、改善事例情報入力欄223に各要素(「四輪工場」、「モータ組立工程」等)が自動的に記述される。
 そして、ユーザ端末装置200は、生成された改善事例情報を情報処理装置100に送信する。具体的には、ユーザ端末装置200は、図4に例示する改善事例情報を情報処理装置100に送信する。
 なお、図9では、作図上の理由により、生産拠点情報222は、図2に示すものと異なっている。
In the user terminal device 200, the improvement case information generation screen illustrated in FIG. 9 is displayed.
The user specifies the production base of the target for which the improvement case information is generated in the production base name designation field 221, and the production base information 222 of the corresponding production base is displayed. The user refers to the production base information 222 and inputs the details of the improvement case in the improvement case information input field 223.
In FIG. 9, improvement case information of the automobile factory is generated.
By clicking each element of the production base information 222 ("four-wheel factory", "motor assembly process", etc.) with the mouse, each element ("four-wheel factory", "motor assembly process"" can be displayed in the improvement case information input field 223. Etc.) are automatically described.
Then, the user terminal device 200 transmits the generated improvement case information to the information processing device 100. Specifically, the user terminal device 200 transmits the improvement case information illustrated in FIG. 4 to the information processing device 100.
In FIG. 9, the production base information 222 is different from that shown in FIG. 2 due to drawing reasons.

 次に、図10を参照して、情報処理装置100による事例情報格納処理を説明する。 Next, the case information storage process by the information processing apparatus 100 will be described with reference to FIG.

 先ず、事例情報取得部106がユーザ端末装置200から送信された事例情報を受信する(ステップS201)。
 次に、事例情報取得部106は事例情報を事例情報蓄積部107に格納する(ステップS202)。
First, the case information acquisition unit 106 receives the case information transmitted from the user terminal device 200 (step S201).
Next, the case information acquisition unit 106 stores the case information in the case information storage unit 107 (step S202).

 次に、図11を参照して、情報処理装置100による検索要求受信処理、検索処理及び検索応答送信処理を説明する。 Next, the search request reception process, the search process, and the search response transmission process by the information processing apparatus 100 will be described with reference to FIG.

 検索要求処理部108は、ユーザ端末装置200から送信された検索要求を受信する(ステップS301)。 The search request processing unit 108 receives the search request transmitted from the user terminal device 200 (step S301).

 次に、検索要求処理部108は、検索要求を解析して、検索生産拠点を特定する(ステップS302)。そして、検索要求処理部108は、特定した検索生産拠点を検索部109に通知する。 Next, the search request processing unit 108 analyzes the search request and identifies the search production base (step S302). Then, the search request processing unit 108 notifies the search unit 109 of the specified search production base.

 次に、検索部109が類似度テーブル記憶部105から類似度テーブルを読み出す(ステップS303)。 Next, the search unit 109 reads the similarity table from the similarity table storage unit 105 (step S303).

 次に、検索部109は、類似度テーブルに示される類似度に従って、類似生産拠点を抽出する(ステップS304)。
 検索部109は、検索応答に事例情報を含ませる類似生産拠点の数に制限がある場合は、制限数の範囲内で類似度の高い生産拠点から順に類似生産拠点として抽出する。例えば、企業に10個の工場が存在し、検索応答に事例情報を含ませることができる工場の数が5である場合は、検索部109は検索生産拠点との類似度が高い順に5個の工場を類似生産拠点として抽出する。
 または、検索部109は、閾値以上の類似度の工場のみを類似生産拠点として抽出してもよい。
 検索応答に事例情報を含ませる類似生産拠点の数に制限がない場合は、検索部109は、全ての工場を類似生産拠点として抽出する。
Next, the search unit 109 extracts similar production bases according to the similarity shown in the similarity table (step S304).
When there is a limit to the number of similar production bases that include case information in the search response, the search unit 109 extracts the production bases having the highest degree of similarity within the limited number as similar production bases in order. For example, if a company has 10 factories and the number of factories that can include case information in the search response is 5, the search unit 109 has 5 factories in descending order of similarity to the search production base. Extract the factory as a similar production base.
Alternatively, the search unit 109 may extract only factories having a similarity equal to or higher than the threshold value as similar production bases.
If there is no limit to the number of similar production bases that include case information in the search response, the search unit 109 extracts all factories as similar production bases.

 次に、検索部109は、類似度生産拠点の事例情報である類似拠点事例情報を事例情報蓄積部107から読み出す(ステップS305)。 Next, the search unit 109 reads the similar base case information, which is the case information of the similarity production base, from the case information storage unit 107 (step S305).

 次に、検索部109は、類似度に従って、類似拠点事例情報間の優先順位を決定する(ステップS306)。具体的には、検索部109は、類似度が高い類似生産拠点の類似拠点事例情報の優先順位を高く設定する。 Next, the search unit 109 determines the priority among similar base case information according to the degree of similarity (step S306). Specifically, the search unit 109 sets a high priority for similar base case information of similar production bases having a high degree of similarity.

 次に、検索部109が優先順位の順に類似拠点事例情報が表示される検索応答を生成し、生成した検索応答を検索要求処理部108に出力する。
 そして、検索要求処理部108が検索応答をユーザ端末装置200に送信する(ステップS307)。
 この結果、ユーザ端末装置200において検索応答が表示され、ユーザは類似拠点事例情報を参照することができる。
Next, the search unit 109 generates a search response in which similar base case information is displayed in the order of priority, and outputs the generated search response to the search request processing unit 108.
Then, the search request processing unit 108 transmits the search response to the user terminal device 200 (step S307).
As a result, the search response is displayed on the user terminal device 200, and the user can refer to the similar site case information.

 図11に示すフローを具体例を用いて説明する。 The flow shown in FIG. 11 will be described with reference to a specific example.

 ステップS301において、検索要求処理部108は、検索生産拠点として二輪工場が指定されている検索要求を受信したとする。つまり、ユーザは二輪工場と生産工程の構成が類似する生産拠点の事例情報の検索を要求している。 In step S301, it is assumed that the search request processing unit 108 receives the search request in which the motorcycle factory is designated as the search production base. That is, the user is requesting a search for case information of a production base having a similar production process configuration to that of a motorcycle factory.

 次に、ステップS302において、検索要求処理部108は検索生産拠点として二輪工場を特定し、検索部109に検索生産拠点が二輪工場であることを通知する。 Next, in step S302, the search request processing unit 108 identifies the motorcycle factory as the search production base, and notifies the search unit 109 that the search production base is the motorcycle factory.

 次に、ステップS303において、検索部109は、図8に例示する類似度テーブルを類似度テーブル記憶部105から読み出す。 Next, in step S303, the search unit 109 reads the similarity table illustrated in FIG. 8 from the similarity table storage unit 105.

 次に、ステップS304において、検索部109は、図8の類似度テーブルより、エアーコンディショナー工場、薬品工場及び四輪工場の中から類似生産拠点を抽出する。
 ここでは、検索応答に事例情報を含ませる類似生産拠点の数が2個であると仮定する。この場合は、検索部109は二輪工場との類似度が高い順に、四輪工場とエアーコンディショナー工場を類似生産拠点として抽出する。
Next, in step S304, the search unit 109 extracts similar production bases from the air conditioner factory, the chemical factory, and the automobile factory from the similarity table of FIG.
Here, it is assumed that the number of similar production bases that include case information in the search response is two. In this case, the search unit 109 extracts the four-wheel factory and the air conditioner factory as similar production bases in descending order of similarity with the two-wheel factory.

 次に、ステップS305において、検索部109は、四輪工場の事例情報とエアーコンディショナー工場の事例情報を事例情報蓄積部107から読み出す。 Next, in step S305, the search unit 109 reads out the case information of the automobile factory and the case information of the air conditioner factory from the case information storage unit 107.

 次に、ステップS306において、検索部109は、四輪工場の事例情報とエアーコンディショナー工場の事例情報との間の優先順位を決定する。二輪工場との類似度は四輪工場の方が高いので、検索部109は、四輪工場の事例情報の優先順位を高く設定する。 Next, in step S306, the search unit 109 determines the priority order between the case information of the automobile factory and the case information of the air conditioner factory. Since the degree of similarity with the two-wheeled factory is higher in the four-wheeled factory, the search unit 109 sets the priority of the case information of the four-wheeled factory to be high.

 次に、ステップS307において、検索部109は四輪工場の事例情報が先に表示される検索応答を生成し、検索要求処理部108が検索応答をユーザ端末装置200に送信する。
 例えば、検索部109は図12示す検索応答を生成する。
Next, in step S307, the search unit 109 generates a search response in which the case information of the automobile factory is displayed first, and the search request processing unit 108 transmits the search response to the user terminal device 200.
For example, the search unit 109 generates the search response shown in FIG.

 なお、以上では、検索部109が事例の種類に関わらず類似生産拠点の事例情報を検索する例を説明した。これに代えて、検索部109は、特定の種類の事例が示される事例情報のみを検索するようにしてもよい。
 この場合は、ユーザは、検索要求において事例の種類を指定することができる。
 例えば、ユーザは、事例の種類として、改善事例又は不具合事例を指定することができる。検索要求において事例の種類として改善事例が指定されている場合は、検索部109は、類似生産拠点の改善事例情報のみを類似拠点事例情報として検索する。同様に、検索要求において事例の種類として不具合事例が指定されている場合は、検索部109は、類似生産拠点の不具合事例情報のみを類似拠点事例情報として検索する。
 また、ユーザは、品質ロスの改善を伴う改善事例という形でも事例の種類を指定することができる。検索要求において事例の種類として品質ロスの改善を伴う改善事例が指定されている場合は、検索部109は、類似生産拠点の品質ロスの改善が示される改善事例情報のみを類似拠点事例情報として検索する。
In the above, an example in which the search unit 109 searches for case information of similar production bases regardless of the type of case has been described. Instead, the search unit 109 may search only the case information indicating a specific type of case.
In this case, the user can specify the type of case in the search request.
For example, the user can specify an improvement case or a defect case as the type of case. When the improvement case is specified as the type of the case in the search request, the search unit 109 searches only the improvement case information of the similar production base as the similar base case information. Similarly, when a defect case is specified as the case type in the search request, the search unit 109 searches only the defect case information of the similar production base as the similar base case information.
The user can also specify the type of case in the form of an improvement case accompanied by improvement of quality loss. When an improvement case accompanied by improvement of quality loss is specified as the case type in the search request, the search unit 109 searches only the improvement case information indicating the improvement of the quality loss of the similar production base as the similar base case information. To do.

 また、上記は検索部109による検索の一例であり、検索部109は、生産拠点情報、グラフ構造、改善事例情報、不具合事例情報の各要素のどの項目からも関連する情報を抽出することができる。
 例えば、検索部109は、ある生産工程情報の一部の要素をキーワードにして、類似生産拠点の改善事例情報/不具合事例情報を抽出することができる。
 また、検索部109は、例えば、改善事例情報/不具合事例情報が参照する生産工程に類似する生産工程の改善事例情報/不具合事例情報を抽出することができる。
 また、検索部109は、例えば、改善事例情報/不具合事例情報が参照する生産工程の周辺の生産工程の改善事例情報/不具合事例情報を抽出することができる。
 また、検索部109は、例えば、改善事例情報/不具合事例情報が参照する生産状況情報の詳細(品質ロスの値等)を抽出することができる。
 また、検索部109は、例えば、改善事例情報/不具合事例情報が参照する生産状況情報と類似する生産状況情報が存在する生産工程の改善事例情報/不具合事例情報を抽出することができる。
Further, the above is an example of the search by the search unit 109, and the search unit 109 can extract related information from any item of each element of the production base information, the graph structure, the improvement case information, and the defect case information. ..
For example, the search unit 109 can extract improvement case information / defect case information of similar production bases by using a part of elements of a certain production process information as a keyword.
Further, the search unit 109 can extract, for example, improvement case information / defect case information of a production process similar to the production process referred to by the improvement case information / defect case information.
Further, the search unit 109 can extract, for example, improvement case information / defect case information of the production process around the production process referred to by the improvement case information / defect case information.
Further, the search unit 109 can extract, for example, the details of the production status information (value of quality loss, etc.) referred to by the improvement case information / defect case information.
Further, the search unit 109 can extract, for example, the improvement case information / defect case information of the production process in which the production status information similar to the production status information referred to by the improvement case information / defect case information exists.

***実施の形態の効果の説明***
 本実施の形態によれば、生産工程の構成が類似する他の生産拠点の事例情報を共有することができる。つまり、本実施の形態によれば、生産工程の構成が類似する他の生産拠点の改善事例情報又は不具合事例情報を効率的に検索することができる。
*** Explanation of the effect of the embodiment ***
According to the present embodiment, it is possible to share case information of other production bases having similar production process configurations. That is, according to the present embodiment, it is possible to efficiently search for improvement case information or defect case information of other production bases having a similar production process configuration.

***変形例***
 以上では、検索部109は、検索要求が受信された場合に、類似生産拠点を抽出し、また、類似拠点事例情報を検索する。そして、検索要求処理部108は、図12に例示する、類似生産拠点の生産拠点情報と類似拠点事例情報とが含まれる検索応答をユーザ端末装置200に送信する。
 これに代えて、検索部109は、検索要求が受信された場合には、類似生産拠点のみを抽出するようにしてもよい。この場合は、検索要求処理部108は、類似生産拠点の生産拠点情報のみをユーザ端末装置200に送信する。つまり、検索要求処理部108は、図12から事例情報が省略された情報をユーザ端末装置200に送信する。
 類似生産拠点の生産拠点情報を受信したユーザ端末装置200は、事例情報送信要求を送信する。事例情報送信要求は、類似生産拠点で発生した事例が示される事例情報を送信するよう要求するメッセージである。事例情報送信要求では、類似生産拠点で発生した全ての事例の事例情報を送信するよう要求することもできるし、類似生産拠点で発生した改善事例の事例情報のみ又は不具合事例の事例情報のみ送信するよう要求することもできる。更に、事例情報送信要求では、特定の生産工程の事例情報のみを送信するよう要求することもできる。
 検索部109は、検索要求処理部108により事例情報送信要求が受信された場合に、事例情報送信要求で指示された事例情報(類似拠点事例情報)を検索する。そして、検索要求処理部108は、検索部109の検索により得られた類似拠点事例情報をユーザ端末装置200に送信する。検索要求処理部108は、事例情報のみをユーザ端末装置200に送信してもよいし、図12に例示するように、類似生産拠点の生産拠点情報と類似拠点事例情報とをユーザ端末装置200に送信してもよい。
*** Modification example ***
In the above, when the search request is received, the search unit 109 extracts similar production bases and searches for similar base case information. Then, the search request processing unit 108 transmits a search response including the production base information of the similar production base and the similar base case information, which is illustrated in FIG. 12, to the user terminal device 200.
Instead of this, the search unit 109 may extract only similar production bases when a search request is received. In this case, the search request processing unit 108 transmits only the production base information of similar production bases to the user terminal device 200. That is, the search request processing unit 108 transmits the information in which the case information is omitted from FIG. 12 to the user terminal device 200.
The user terminal device 200 that has received the production base information of a similar production base transmits a case information transmission request. The case information transmission request is a message requesting the transmission of case information indicating a case that occurred at a similar production base. In the case information transmission request, it is possible to request that case information of all cases occurring at similar production bases be transmitted, or only case information of improvement cases occurring at similar production bases or case information of defect cases is transmitted. Can also be requested. Further, in the case information transmission request, it is possible to request that only the case information of a specific production process be transmitted.
When the case information transmission request is received by the search request processing unit 108, the search unit 109 searches for the case information (similar base case information) instructed by the case information transmission request. Then, the search request processing unit 108 transmits the similar base case information obtained by the search of the search unit 109 to the user terminal device 200. The search request processing unit 108 may transmit only the case information to the user terminal device 200, or, as illustrated in FIG. 12, transfers the production base information of the similar production base and the similar base case information to the user terminal device 200. You may send it.

 実施の形態2.
 本実施の形態では、主に実施の形態1との差異を説明する。
 なお、以下で説明していない事項は、実施の形態1と同様である。
Embodiment 2.
In the present embodiment, the difference from the first embodiment will be mainly described.
The matters not explained below are the same as those in the first embodiment.

 図14は、本実施の形態に係る情報処理装置100の機能構成例を示す。
 図14では、図1の構成と比較して、事例情報配信部110が追加されている。
 事例情報配信部110以外の構成要素は、図1に示すものと同様であるので、説明を省略する。
 なお、事例情報配信部110は、生産拠点情報取得部101等と同様にプログラムで実現される。事例情報配信部110の機能を実現するプログラムはプロセッサ901により実行される。
FIG. 14 shows an example of a functional configuration of the information processing apparatus 100 according to the present embodiment.
In FIG. 14, the case information distribution unit 110 is added as compared with the configuration of FIG.
Since the components other than the case information distribution unit 110 are the same as those shown in FIG. 1, the description thereof will be omitted.
The case information distribution unit 110 is realized by a program in the same manner as the production base information acquisition unit 101 and the like. The program that realizes the function of the case information distribution unit 110 is executed by the processor 901.

 事例情報配信部110は、いずれかの生産拠点の事例情報が新たに生成された又は更新された場合に、新たに生成された又は更新された事例情報を配信する。
 例えば、事例情報配信部110は、新たに生成された又は更新された事例情報を生成した又は更新した生産拠点と生産工程の構成において類似する他の生産拠点に、新たに生成された又は更新された事例情報を配信する。
 例えば、二輪工場で新たに改善事例情報が生成された場合は、事例情報配信部110は、図8の類似度テーブルに基づき、例えば、四輪工場とエアーコンディショナー工場に、二輪工場の新たに生成された改善事例情報を配信する。
The case information distribution unit 110 distributes the newly generated or updated case information when the case information of any of the production bases is newly generated or updated.
For example, the case information distribution unit 110 is newly generated or updated to another production base that is similar in the configuration of the production process to the production base that generated or updated the newly generated or updated case information. Distribute case information.
For example, when a new improvement case information is generated in a motorcycle factory, the case information distribution unit 110 newly generates a motorcycle factory in, for example, a four-wheel factory and an air conditioner factory based on the similarity table of FIG. Distribute the improvement case information that has been made.

 例えば、事例情報取得部106が新たに生成された事例情報又は更新された事例情報を受信する度に、事例情報配信部110に新たに生成された事例情報又は更新された事例情報を受信したことを通知する。事例情報配信部110は、事例情報取得部106から通知があれば、事例情報蓄積部107から新たに生成された事例情報又は更新された事例情報を読み出す。事例情報配信部110は、類似度テーブル記憶部105から類似度テーブルを読み出す。そして、事例情報配信部110は、類似度テーブルを参照して、事例情報を生成した又は更新した生産拠点との類似度が閾値以上の生産拠点を特定する。そして、事例情報配信部110は、特定した生産拠点に、新たに生成された又は更新された事例情報を配信する。 For example, each time the case information acquisition unit 106 receives the newly generated case information or the updated case information, the case information distribution unit 110 receives the newly generated case information or the updated case information. Notify. When notified by the case information acquisition unit 106, the case information distribution unit 110 reads out the newly generated case information or the updated case information from the case information storage unit 107. The case information distribution unit 110 reads the similarity table from the similarity table storage unit 105. Then, the case information distribution unit 110 refers to the similarity table and identifies a production base having a similarity equal to or higher than the threshold value with the production base that generated or updated the case information. Then, the case information distribution unit 110 distributes the newly generated or updated case information to the specified production base.

 本実施の形態によれば、各生産拠点は、生産工程の構成において類似する他の生産拠点での改善事例情報及び不具合事例情報を効率よく取得することができる。 According to this embodiment, each production base can efficiently acquire improvement case information and defect case information at other production bases that are similar in the configuration of the production process.

 以上、本発明の実施の形態について説明したが、これら2つの実施の形態を組み合わせて実施しても構わない。
 あるいは、これら2つの実施の形態のうち、1つを部分的に実施しても構わない。
 あるいは、これら2つの実施の形態を部分的に組み合わせて実施しても構わない。
 なお、本発明は、これらの実施の形態に限定されるものではなく、必要に応じて種々の変更が可能である。
Although the embodiments of the present invention have been described above, these two embodiments may be combined and implemented.
Alternatively, one of these two embodiments may be partially implemented.
Alternatively, these two embodiments may be partially combined and implemented.
The present invention is not limited to these embodiments, and various modifications can be made as needed.

***ハードウェア構成の説明***
 最後に、情報処理装置100のハードウェア構成の補足説明を行う。
 図13に示すプロセッサ901は、プロセッシングを行うIC(Integrated Circuit)である。
 プロセッサ901は、CPU(Central Processing Unit)、DSP(Digital Signal Processor)等である。
 図13に示す主記憶装置902は、RAM(Random Access Memory)である。
 図13に示す補助記憶装置903は、ROM(Read Only Memory)、フラッシュメモリ、HDD(Hard Disk Drive)等である。
 図3に示す通信装置904は、データの通信処理を実行する電子回路である。
 通信装置904は、例えば、通信チップ又はNIC(Network Interface Card)である。
*** Explanation of hardware configuration ***
Finally, a supplementary explanation of the hardware configuration of the information processing apparatus 100 will be given.
The processor 901 shown in FIG. 13 is an IC (Integrated Circuit) that performs processing.
The processor 901 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like.
The main storage device 902 shown in FIG. 13 is a RAM (Random Access Memory).
The auxiliary storage device 903 shown in FIG. 13 is a ROM (Read Only Memory), a flash memory, an HDD (Hard Disk Drive), or the like.
The communication device 904 shown in FIG. 3 is an electronic circuit that executes data communication processing.
The communication device 904 is, for example, a communication chip or a NIC (Network Interface Card).

 また、補助記憶装置903には、OS(Operating System)も記憶されている。
 そして、OSの少なくとも一部がプロセッサ901により実行される。
 プロセッサ901はOSの少なくとも一部を実行しながら、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110の機能を実現するプログラムを実行する。
 プロセッサ901がOSを実行することで、タスク管理、メモリ管理、ファイル管理、通信制御等が行われる。
 また、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110の処理の結果を示す情報、データ、信号値及び変数値の少なくともいずれかが、主記憶装置902、補助記憶装置903、プロセッサ901内のレジスタ及びキャッシュメモリの少なくともいずれかに記憶される。
 また、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110の機能を実現するプログラムは、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ブルーレイ(登録商標)ディスク、DVD等の可搬記録媒体に格納されていてもよい。そして、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110の機能を実現するプログラムが格納された可搬記録媒体を商業的に流通させてもよい。
In addition, the OS (Operating System) is also stored in the auxiliary storage device 903.
Then, at least a part of the OS is executed by the processor 901.
While executing at least a part of the OS, the processor 901 executes the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case. The program that realizes the function of the information distribution unit 110 is executed.
When the processor 901 executes the OS, task management, memory management, file management, communication control, and the like are performed.
Information indicating the processing results of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110. , Data, signal values and variable values are stored in at least one of the main storage device 902, the auxiliary storage device 903, the registers in the processor 901 and the cache memory.
Further, a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 , Magnetic discs, flexible discs, optical discs, compact discs, Blu-ray (registered trademark) discs, DVDs, and other portable recording media. Then, a program that realizes the functions of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 The stored portable recording medium may be distributed commercially.

 また、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110の「部」を、「回路」又は「工程」又は「手順」又は「処理」に読み替えてもよい。
 また、情報処理装置100は、処理回路により実現されてもよい。処理回路は、例えば、ロジックIC(Integrated Circuit)、GA(Gate Array)、ASIC(Application Specific Integrated Circuit)、FPGA(Field-Programmable Gate Array)である。
 この場合は、生産拠点情報取得部101、生産拠点情報格納部102、類似度算出部104、事例情報取得部106、検索要求処理部108、検索部109及び事例情報配信部110は、それぞれ処理回路の一部として実現される。
 なお、本明細書では、プロセッサと処理回路との上位概念を、「プロセッシングサーキットリー」という。
 つまり、プロセッサと処理回路とは、それぞれ「プロセッシングサーキットリー」の具体例である。
Further, the "department" of the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 is referred to as "department". It may be read as "circuit" or "process" or "procedure" or "process".
Further, the information processing device 100 may be realized by a processing circuit. The processing circuit is, for example, a logic IC (Integrated Circuit), a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array).
In this case, the production base information acquisition unit 101, the production base information storage unit 102, the similarity calculation unit 104, the case information acquisition unit 106, the search request processing unit 108, the search unit 109, and the case information distribution unit 110 are each processing circuits. Realized as part of.
In this specification, the superordinate concept of the processor and the processing circuit is referred to as "processing circuit Lee".
That is, the processor and the processing circuit are specific examples of the "processing circuit Lee", respectively.

 100 情報処理装置、101 生産拠点情報取得部、102 生産拠点情報格納部、103 生産拠点情報蓄積部、104 類似度算出部、105 類似度テーブル記憶部、106 事例情報取得部、107 事例情報蓄積部、108 検索要求処理部、109 検索部、110 事例情報配信部、200 ユーザ端末装置、901 プロセッサ、902 主記憶装置、903 補助記憶装置、904 通信装置。
 
 
100 Information processing device, 101 Production base information acquisition unit, 102 Production base information storage unit, 103 Production base information storage unit, 104 Similarity calculation unit, 105 Similarity table storage unit, 106 Case information acquisition unit, 107 Case information storage unit , 108 search request processing unit, 109 search unit, 110 case information distribution unit, 200 user terminal device, 901 processor, 902 main storage device, 903 auxiliary storage device, 904 communication device.

Claims (10)

 複数の生産拠点のうちのいずれかの生産拠点が検索生産拠点として指定される検索要求を受信する検索要求受信部と、
 前記検索生産拠点と生産工程の構成において類似する他の生産拠点を類似生産拠点として抽出し、前記類似生産拠点で発生した事例が示される事例情報を類似拠点事例情報として検索する検索部と、
 前記検索部により取得された前記類似拠点事例情報を前記検索要求の送信元に送信する検索応答送信部とを有する情報処理装置。
A search request receiving unit that receives a search request in which one of a plurality of production bases is designated as a search production base.
A search unit that extracts other production bases that are similar to the search production base in the configuration of the production process as similar production bases and searches for case information showing cases that occurred at the similar production bases as similar base case information.
An information processing device including a search response transmission unit that transmits the similar base case information acquired by the search unit to the source of the search request.
 前記検索部は、
 前記類似拠点事例情報として、前記類似生産拠点で発生した改善事例及び不具合事例の少なくともいずれかが示される事例情報を検索する請求項1に記載の情報処理装置。
The search unit
The information processing apparatus according to claim 1, wherein the information processing apparatus according to claim 1 searches for case information in which at least one of an improvement case and a failure case generated in the similar production base is shown as the similar base case information.
 前記情報処理装置は、更に、
 前記複数の生産拠点間の生産工程の構成における類似度を算出する類似度算出部を有し、
 前記検索部は、
 前記類似度算出部により算出された前記検索生産拠点との類似度に基づき、前記類似生産拠点を抽出する請求項1に記載の情報処理装置。
The information processing device further
It has a similarity calculation unit that calculates the similarity in the configuration of the production process between the plurality of production bases.
The search unit
The information processing apparatus according to claim 1, wherein the similar production base is extracted based on the similarity with the search production base calculated by the similarity calculation unit.
 前記検索部は、
 2以上の類似生産拠点を抽出し、前記2以上の類似生産拠点の類似拠点事例情報を取得した場合に、前記2以上の類似生産拠点の前記検索生産拠点との類似度に基づき、前記2以上の類似度生産拠点の類似拠点事例情報間に優先順位を設定する請求項3に記載の情報処理装置。
The search unit
When two or more similar production bases are extracted and case information of similar bases of the two or more similar production bases is acquired, the above two or more are based on the degree of similarity of the two or more similar production bases with the search production base. The information processing apparatus according to claim 3, wherein a priority is set between the similar base case information of the production base.
 前記検索要求受信部は、
 事例の種類が指定される検索要求を受信し、
 前記検索部は、
 前記類似生産拠点で発生した、前記検索要求で指定される事例の種類に合致する事例が示される事例情報を前記類似拠点事例情報として検索する請求項1に記載の情報処理装置。
The search request receiving unit
Receive a search request specifying the case type and
The search unit
The information processing apparatus according to claim 1, wherein the information processing apparatus according to claim 1 searches for case information generated at the similar production base and showing a case matching the type of the case specified in the search request as the similar base case information.
 前記情報処理装置は、更に、
 前記複数の生産拠点のうちのいずれかの生産拠点の事例情報の生成又は更新が生じる度に、生成又は更新された事例情報を配信する事例情報配信部を有する請求項1に記載の情報処理装置。
The information processing device further
The information processing apparatus according to claim 1, further comprising a case information distribution unit that distributes the generated or updated case information each time the case information of any one of the plurality of production bases is generated or updated. ..
 前記事例情報配信部は、
 生成又は更新された事例情報を生成した又は更新した生産拠点と生産工程の構成において類似する他の生産拠点に、生成又は更新された事例情報を配信する請求項6に記載の情報処理装置。
The case information distribution department
The information processing apparatus according to claim 6, wherein the generated or updated case information is distributed to another production base that is similar in the configuration of the production process to the production base that generated or updated the generated or updated case information.
 前記検索応答送信部は、
 前記検索部により抽出された前記類似生産拠点が示される生産拠点情報を前記検索要求の送信元に送信し、
 前記検索要求受信部は、
 前記生産拠点情報を受信した、前記検索要求の送信元から、前記類似生産拠点で発生した事例が示される事例情報を送信するよう要求する事例情報送信要求を受信し、
 前記検索部は、
 前記検索要求受信部により前記事例情報送信要求が受信された場合に、前記類似拠点事例情報を検索する請求項1に記載の情報処理装置。
The search response transmitter is
The production base information showing the similar production base extracted by the search unit is transmitted to the source of the search request.
The search request receiving unit
A case information transmission request requesting transmission of case information indicating a case occurring at the similar production base is received from the source of the search request that has received the production base information.
The search unit
The information processing device according to claim 1, wherein when the case information transmission request is received by the search request receiving unit, the similar base case information is searched.
 コンピュータが、複数の生産拠点のうちのいずれかの生産拠点が検索生産拠点として指定される検索要求を受信し、
 前記コンピュータが、前記検索生産拠点と生産工程の構成において類似する他の生産拠点を類似生産拠点として抽出し、前記類似生産拠点で発生した事例が示される事例情報を類似拠点事例情報として検索し、
 前記コンピュータが、検索により取得された前記類似拠点事例情報を前記検索要求の送信元に送信する情報処理方法。
The computer receives a search request in which one of the production sites is designated as the search production site.
The computer extracts other production bases that are similar to the search production base in the configuration of the production process as similar production bases, and searches for case information indicating a case that occurred at the similar production base as similar base case information.
An information processing method in which the computer transmits the similar base case information acquired by the search to the source of the search request.
 複数の生産拠点のうちのいずれかの生産拠点が検索生産拠点として指定される検索要求を受信する検索要求受信処理と、
 前記検索生産拠点と生産工程の構成において類似する他の生産拠点を類似生産拠点として抽出し、前記類似生産拠点で発生した事例が示される事例情報を類似拠点事例情報として検索する検索処理と、
 前記検索処理により取得された前記類似拠点事例情報を前記検索要求の送信元に送信する検索応答送信処理とをコンピュータに実行させる情報処理プログラム。
A search request reception process in which one of a plurality of production bases receives a search request designated as a search production base, and
A search process that extracts other production bases that are similar to the search production base in the configuration of the production process as similar production bases and searches for case information that shows cases that occurred at the similar production bases as similar base case information.
An information processing program that causes a computer to execute a search response transmission process for transmitting the similar base case information acquired by the search process to the source of the search request.
PCT/JP2019/020151 2019-05-21 2019-05-21 Information processing device, information processing method, and information processing program Ceased WO2020235010A1 (en)

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