WO2025164839A1 - Method for determining arrangement of in-line production equipment - Google Patents

Abstract

A method for determining arrangement of in-line production equipment according to an embodiment of the present invention comprises the steps of: obtaining production information of a product; obtaining in-line production equipment arrangement information for the production of the product; generating a production result of a current production line by using the production information of the product and the in-line production equipment arrangement information; predicting a production result of a new production line through simulation; determining an optimal production line by comparing the production result of the current production line and the production result of the new production line; and rearranging in-line production equipment on the basis of the optimal production line.

Description

How to Determine Inline Production Equipment Layout

Embodiments of the present invention relate to a method for determining the layout of inline production equipment for PCB production.

To produce printed circuit boards (PCBs), equipment such as loaders, screen printers, inspectors, chip mounters, reflowers, and mounters for mounting components onto the PCB are required. These devices can be arranged inline, creating one or more production lines.

Furthermore, specific equipment can be added or removed from the production line as needed to improve productivity. For example, if the PCB component mounting speed needs to be improved, adding additional mounters to the production line can reduce the component mounting time per mounter.

That is, there can be multiple lines in a production space, and the production line configuration can be changed according to the production schedule.

However, when changing production lines, it can be difficult to develop a production line reconfiguration plan. This requires analyzing the current production plan and manually reconfiguring the production line based on the areas of improvement desired, which presents an inconvenience.

In addition, there is the problem that the time required to reconfigure the production line is considerable, and the productivity of products produced on the reconfigured production line cannot be theoretically examined, and the only way to confirm actual productivity is through a test run.

According to one aspect of the present invention, a main object is to provide a method for determining the layout of inline production equipment to rearrange inline production equipment so as to improve the productivity of a product.

However, these tasks are exemplary, and the tasks to be solved by the present invention are not limited thereto.

A method for determining an inline production equipment layout according to one embodiment of the present invention is an inline production equipment layout determination method performed by one or more processors included in an inline production equipment layout determination device, the method comprising: a step of obtaining production information of a product; a step of obtaining inline production equipment layout information for production of the product; a step of generating a production result of a current production line using the production information of the product and the inline production equipment layout information; a step of predicting a production result of a new production line through simulation; a step of determining an optimal production line by comparing the production result of the current production line and the production result of the new production line; and a step of rearranging inline production equipment based on the optimal production line.

In the step of acquiring production information of the above product, the production information of the product may include information on parts to be installed at a designated point of the product and information on the production quantity of the product.

In the step of obtaining inline production equipment layout information for production of the above product, the inline production equipment layout information may include information on the type and number of equipment, layout order, and production space size.

The above inline production equipment arrangement information may further include the types and total number of feeders that can be arranged on a mounter, which is one of the production equipment, and the types and total number of nozzles that can be arranged on the mounter.

The step of generating the production result of the current production line using the production information of the above product and the inline production equipment layout information can generate the production result of the current production line using the production quantity information of the above product and the production priority information among the above products.

The production results of the above current production line may include the production start and end times of each product and the total production time of all products.

The step of predicting the production results of a new production line through the above simulation can predict the production results of a new production line through rearrangement of the inline production equipment based on the production quantity information of the above products and the production priority information among the above products.

The step of determining the optimal production line by comparing the production results of the current production line and the production results of the new production line may determine the optimal production line by comparing the production results of the current production line and the production results of a plurality of new production lines generated through simulation.

The step of determining the above optimal production line may include a step of determining the optimal production line based on the number of products produced per unit time, using the number of products produced and the production completion time.

The step of determining the optimal production line may include a step of determining the optimal production line based on the operating rate of the equipment constituting the production line, using the production quantity and production completion time of the product.

The step of determining the above optimal production line may include a step of determining the optimal production line based on a production line that minimizes the number of feeders or nozzles used by a mounter among the equipment constituting the production line, using the production quantity and production completion time of the product.

Other aspects, features and advantages other than those described above will become apparent from the following detailed description, claims and drawings for carrying out the invention.

A method for determining the layout of inline production equipment according to one embodiment of the present invention can automatically rearrange a production line by analyzing all inline production equipment within a production space and the productivity of products produced thereby.

The effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the description of the claims.

FIG. 1 illustrates the configuration of an inline production equipment placement decision device according to one embodiment of the present disclosure.

FIG. 2 is a drawing for explaining the configuration and operation of an inline production equipment placement decision device according to one embodiment of the present disclosure, and FIG. 3 is a block diagram of a memory according to an embodiment of the present invention.

Figures 4 (a), (b), (c), and (d) are drawings exemplarily showing how inline production equipment according to one embodiment of the present disclosure is rearranged.

FIG. 5 is a flowchart illustrating a method for determining the arrangement of inline production equipment according to one embodiment of the present disclosure.

FIG. 6 is a flowchart illustrating a method for determining an optimal production line according to one embodiment of the present disclosure.

FIG. 7 is a table exemplarily showing a current line configuration and a current line configuration-based production schedule according to one embodiment of the present disclosure.

FIG. 8 is a table exemplarily showing a new line configuration and a new line configuration standard production schedule according to one embodiment of the present disclosure.

FIG. 9 is a schematic diagram showing a detailed configuration of a mounter device according to one embodiment of the present disclosure.

The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail in the description. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention. In describing the present invention, identical components are identified by the same reference numerals even when illustrated in different embodiments.

Hereinafter, embodiments of the present invention will be described in detail with reference to the attached drawings. When describing with reference to the drawings, identical or corresponding components are given the same reference numerals and redundant descriptions thereof will be omitted.

In the examples below, the terms first, second, etc. are not used in a limiting sense, but are used for the purpose of distinguishing one component from another.

In the examples below, singular expressions include plural expressions unless the context clearly indicates otherwise.

In the examples below, terms such as “include” or “have” mean that a feature or component described in the specification is present, and do not preclude the possibility that one or more other features or components may be added.

For convenience of explanation, the sizes of components in the drawings may be exaggerated or reduced. For example, the sizes and thicknesses of each component shown in the drawings are arbitrarily indicated for convenience of explanation, and thus the present invention is not necessarily limited to what is shown.

In some embodiments, where implementations are otherwise feasible, specific process sequences may be performed in a different order than described. For example, two processes described in succession may be performed substantially simultaneously, or in a reverse order from the described order.

The terminology used in this application is only used to describe specific embodiments and is not intended to limit the present invention. In this application, terms such as "comprise" or "have" are intended to indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but should be understood to not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

Referring to FIGS. 1 to 4 below, an inline production equipment placement decision system according to one embodiment of the present invention will be described.

FIG. 1 illustrates the configuration of an inline production equipment placement decision device according to one embodiment of the present disclosure. FIG. 2 is a diagram for explaining the configuration and operation of an inline production equipment placement decision device according to one embodiment of the present disclosure, and FIG. 3 is a block diagram of a memory according to an embodiment of the present disclosure. FIG. 4 (a), (b), (c), and (d) are diagrams exemplarily illustrating a rearrangement of inline production equipment according to one embodiment of the present disclosure.

The inline production equipment layout decision device (10) obtains production information of a product, obtains inline production equipment layout information for production of the product, generates a production result of a current production line using the production information of the product and the inline production equipment layout information, predicts the production result of a new production line through simulation, and determines an optimal production line by comparing the production result of the current production line and the production result of the new production line.

In order to implement an optimal production line determined by the inline production equipment placement decision device (10), the inline production equipment placement decision device (10) can transmit information on the rearrangement of inline production equipment to the inline production equipment placement device (20). The inline production equipment placement device (20) can directly rearrange the inline production equipment by moving the inline production equipment based on the inline production equipment placement information received from the inline production equipment placement decision device (10).

Figures 4(a), (b), (c), and (d) illustrate the rearrangement of inline production equipment according to one embodiment of the present disclosure. Figure 4 illustrates the rearrangement of mounters among the multiple pieces of equipment constituting the production line as an example.

In Fig. 4 (a), a first production line (L1) and a second production line (L2) are illustrated, and in the first production line (L1), first, second, and third mounters (M1, M2, M3) are arranged between the equipment (E). In addition, in the second production line (L2), a fourth mounter (M4) is arranged between the equipment (E).

If the productivity of products produced through the production lines (L1, L2) of (a) of Fig. 4 is not good, the productivity of products can be improved by rearranging the equipment constituting the production lines (L1, L2), such as rearranging the mounter in Fig. 4.

To relocate the mounters of the production lines, the second mounter (M2) can be removed from the first line (L1) as shown in (b) of Fig. 4. At this time, the inline production equipment placement device (20) can directly remove the second mounter (M2) from the first line (L1).

In addition, the inline production equipment arrangement device (20) of Fig. 4 (b) can move the equipment (E) and the fourth mounter (M4) to secure space for additional equipment to enter the second line (L2).

After that, in order to remove the space where the second mounter (M2) was located in the first line (L1) from which the second mounter (M2) was removed, as in (c) of FIG. 4, the inline production equipment placement device (20) can move the equipment (E) and the first mounter (M1) to be located adjacent to the third mounter (M3).

Additionally, a second mounter (M2) that was previously removed from the first line (L1) can be added to the secured space in the second line (L2). The added mounter may be the second mounter (M2) or a new device or mounter.

Through the inline production equipment rearrangement process described above, the layout of the inline production equipment can be rearranged as shown in (d) of Fig. 4. The productivity of products produced through the rearranged inline production equipment can be improved.

Referring to FIG. 2, an inline production equipment layout decision device (10) according to an embodiment of the present disclosure may include a processor (11), a memory (12), a communication unit (13), and an input/output unit (14). However, the present disclosure is not limited thereto, and the inline production equipment layout decision device (10) may further include other components, or some components may be omitted. Some components of the inline production equipment layout decision device (10) may be separated into multiple devices, or multiple components may be merged into one device.

The processor (110) can obtain production information on products stored in memory and information on the layout of inline production equipment for the production of the products. Furthermore, the processor (110) can use the production information on products and the layout information on inline production equipment to generate production results for the current production line, predict the production results of a new production line through simulation, and compare the production results of the current production line with the production results of the new production line to determine the optimal production line.

The memory (12) is a computer-readable recording medium, and may include a non-destructive large-capacity storage device (Permanent Mass Storage Device) such as a RAM (Random Access Memory), a ROM (Read Only Memory), and a disk drive. In addition, the memory (12) may temporarily or permanently store program codes and prediction models for controlling the inline production equipment layout decision device (10). For example, the memory (12) may store production information on products and production equipment layout information.

The communication unit (13) may provide a function for communicating with an external server, terminal, or database via a network. For example, a request generated by the processor (110) of the inline production equipment layout decision device (10) according to a program code stored in a recording device such as a memory (12) may be transmitted to an external server via a network under the control of the communication unit (13). Conversely, control signals, commands, contents, files, etc. provided under the control of the processor of the external server may be received by the inline production equipment layout decision device (10) via the communication unit (13) via a network. For example, control signals or commands from an external server received via the communication unit (13) may be transmitted to the processor (110) or the memory (12).

The communication method is not limited, and may include not only a communication method that utilizes a communication network that the network may include (e.g., a mobile communication network, a wired Internet, a wireless Internet, a broadcasting network), but also short-range wireless communication between devices. For example, the network may include any one or more of a network such as a Personal Area Network (PAN), a Local Area Network (LAN), a Campus Area Network (CAN), a Metropolitan Area Network (MAN), a Wide Area Network (WAN), a Broadband Network (BBN), and the Internet. In addition, the network may include any one or more of a network topology including, but not limited to, a bus network, a star network, a ring network, a mesh network, a star-bus network, a tree, or a hierarchical network.

Additionally, the communication unit (13) can communicate with an external server via a network. The communication method is not limited, but the network may be a short-range wireless communication network. For example, the network may be a Bluetooth, BLE (Bluetooth Low Energy), or Wi-Fi communication network.

In addition, the inline production equipment layout decision device (10) according to the present invention may include an input/output unit (14). The input/output unit (14) may be a means for interfacing with an input/output device. For example, the input device may include a device such as a keyboard or a mouse, and the output device may include a device such as a display for displaying a communication session of an application. As another example, the input/output unit (14) may be a means for interfacing with a device that integrates input and output functions, such as a touch screen. As a more specific example, the processor (110) of the inline production equipment layout decision device (10) may display a service screen or content on the display through the input/output unit (14) when processing a command of a computer program loaded or stored in the memory (12).

Additionally, in other embodiments, the inline production equipment placement decision device (10) may include more components than those of FIG. 2. For example, it may be implemented to include at least some of the input/output devices described above, or may further include other components such as batteries and charging devices for supplying power to internal components, various sensors, databases, etc.

Referring to FIG. 3 below, the internal configuration of the memory (12) of the inline production equipment placement decision device (10) according to an embodiment of the present invention will be examined in detail.

The memory (12) of the inline production equipment arrangement decision device (10) according to an embodiment of the present invention includes a product production information acquisition unit (12a), a production equipment arrangement information acquisition unit (12b), a current production line production result generation unit (12c), a new production line production result prediction unit (12d), an optimal production line prediction unit (12e), and a production equipment rearrangement unit (12f).

The product production information acquisition unit (12a) may include information on components to be mounted at designated points on the product and information on the production quantity of the product. For example, if the product is a PCB, this may include information on mounting points, which are points within the PCB where components need to be mounted, and information on components to be mounted at the mounting points.

The production equipment layout information acquisition unit (12b) may include information on the type and number of production equipment, layout order, and production space size. For example, if the product is a PCB, the production equipment may include a loader, screen printer, SPI, mounter, reflow, AOI, and unloader. In this case, multiple mounters may be deployed, and the layout order for each mounter to mount each component may be determined. In addition, the information may include production space size information for deploying multiple production equipment.

The current production line production result generation unit (12c) can generate the production result of the current production line using information on the production quantity of products and production priority information between products. At this time, the production result of the current production line can include the production start and end times of each product and the total production time of all products. For example, the production result of the current production line can be generated using the production quantity of the PCB being produced, the specifications of the PCB, and the production priority information of the PCB being produced.

The new production line production result prediction unit (12d) can predict the production results of the new production line by simulating the relocation of inline production equipment based on information on the production quantity of each product and the production priority information between products. The production results can include the start and end times of each product produced using the relocated inline production equipment, as well as the total production time for all products.

The optimal production line prediction unit (12e) can determine the optimal production line by comparing the production results of the current production line and the production results of a number of new production lines created through simulation.

The optimal production line prediction unit (12e) can generate production result data on the production results of the current production line and multiple new production lines, and derive an optimal production line based on this data. The optimal production line may be an optimal production line model derived from multiple prediction models. The optimal production line model may be an optimal production line model learned using input variables such as product production information and inline production equipment layout information.

For example, the first optimal production line model may be a learned model implemented to output an optimal production line based on the number of products produced per unit time, using the number of products produced and the production completion time.

The second optimal production line model can be described as a learning model implemented to output an optimal production line based on the operating rate of the equipment constituting the production line, using the number of products produced and the production completion time.

The third optimal production line model can be said to be a learning model implemented to output an optimal production line based on a production line that minimizes the number of feeders used by the mounter among the equipment constituting the production line, using the number of products produced and the production completion time.

Additionally, this optimal production line model can also refer to a model learned using various input variables such as the first, second, and third optimal production line models.

The production equipment rearrangement unit (12f) can transmit optimal production line information to the inline production equipment placement device (20) in order to actually implement the optimal production line predicted by the optimal production line prediction unit (12e). The inline production equipment placement device (20) can implement the optimal production line by moving equipment arranged in the production space based on the optimal production line information received by the production equipment rearrangement unit (12f).

Hereinafter, with reference to FIGS. 5 to 9, a method for determining the arrangement of inline production equipment according to one embodiment of the present disclosure will be described.

FIG. 5 is a flowchart illustrating a method for determining an inline production equipment layout according to one embodiment of the present disclosure. FIG. 6 is a flowchart illustrating a method for determining an optimal production line according to one embodiment of the present disclosure. FIG. 7 is a table exemplarily illustrating a current line configuration and a production schedule based on the current line configuration according to one embodiment of the present disclosure. FIG. 8 is a table exemplarily illustrating a new line configuration and a production schedule based on the new line configuration according to one embodiment of the present disclosure. FIG. 9 is a schematic diagram illustrating a detailed configuration of a mounter device according to one embodiment of the present disclosure.

Referring to FIG. 5, an inline production equipment layout determination method according to an embodiment of the present disclosure is an inline production equipment layout determination method performed by one or more processors included in an inline production equipment layout determination device, the method including a step of obtaining production information of a product (S100), a step of obtaining inline production equipment layout information for production of a product (S200), a step of generating a production result of a current production line using the production information of the product and the inline production equipment layout information (S300), a step of predicting a production result of a new production line through simulation (S400), a step of determining an optimal production line by comparing the production result of the current production line and the production result of the new production line (S500), and a step of rearranging inline production equipment based on the optimal production line (S600).

In the step (S100) of acquiring production information for a product, the production information may include information on components to be mounted at designated points on the product and information on the production quantity of the product. For example, if the product is a PCB, this may include information on mounting points, which are points within the PCB where components need to be mounted, and information on components to be mounted at the mounting points.

In the step (S200) of acquiring information on the arrangement of inline production equipment for the production of a product, the inline production equipment arrangement information may include the type and number of equipment, the arrangement order, and the production space size information. For example, if the product is a PCB, the production equipment may include a loader, a screen printer, an SPI, a mounter, a reflow, an AOI, and an unloader. In this case, multiple mounters may be arranged, and the arrangement order of each mounter for mounting each component may be determined. In addition, the information may include information on the production space size in which multiple production equipment can be arranged.

Here, the inline production equipment layout information may include the types and total number of feeders that can be placed on a mounter, which is one of the production equipment, and the types and total number of nozzles that can be placed on the mounter.

The step (S300) of generating the production results of the current production line using the production information of the product and the inline production equipment layout information can generate the production results of the current production line using the production quantity information of the product and the production priority information among the products. For example, the production results of the current production line can be generated using the production quantity of the PCB being produced, the specifications of the PCB, and the production priority information of the PCB being produced.

Here, the production results of the current production line may include the start and end times of production of each of the above products and the total production time of all of the above products.

The step (S400) of predicting the production results of a new production line through simulation can predict the production results of a new production line through rearrangement of inline production equipment based on information on the production quantity of products and information on production priority among products.

The step (S500) of determining the optimal production line by comparing the production results of the current production line and the production results of the new production line can determine the optimal production line by comparing the production results of the current production line and the production results of a plurality of new production lines created through simulation.

At this time, the step (S500) of determining the optimal production line may include a step (S510) of determining the optimal production line based on the number of products produced per unit time, using the number of products produced and the production completion time.

In addition, the step (S500) of determining the optimal production line may include a step (S520) of determining the optimal production line based on the operating rate of the equipment constituting the production line, using the production quantity and production completion time of the product.

In addition, the step (S500) of determining the optimal production line may include a step (S530) of determining the optimal production line based on a production line that minimizes the number of feeders or nozzles used by the mounter among the equipment constituting the production line, using the production quantity and production completion time of the product.

FIG. 6 exemplarily discloses the current line configuration and production time before rearranging the mounter layout, and FIG. 7 exemplarily discloses the new line configuration and production time after rearranging the mounter layout.

Referring to FIG. 6, line A discloses production equipment (E1, E2, E3, E4, E5, E6) and mounters A, B, and C arranged between the production equipment. Line B discloses production equipment (E1', E2', E3', E4', E5', E6') and mounters D, E, and F arranged between the production equipment.

The priority of products A, B, C, D, and E produced through lines A and B is disclosed, and the production start time, production end time, and total production time of each product are disclosed through the production lines. At this time, the production results of the production line can be the production start and end times of each product and the total production time of all products.

Looking at the production schedule based on the current line configuration in Figure 6, we can see that the total production time for five products is 15 hours per day. Furthermore, for example, it takes five hours from the start of production of Product A to its end.

The configuration of the new line, which contrasts with the current line of FIG. 6, is disclosed in FIG. 7.

Referring to FIG. 7, line A discloses production equipment (E1, E2, E3, E4, E5, E6) and mounters A, B, C, and E arranged between the production equipment. Line B discloses production equipment (E1', E2', E3', E4', E5', E6') and mounters D and F arranged between the production equipment. That is, it can be confirmed that mounter E of line B has been moved to line A compared to the current line configuration of FIG. 6.

Looking at the production schedule based on the new line configuration in Figure 7, we can see that the total production time for five products is 9 hours per day. Furthermore, for example, it takes 3 hours from the start of production of Product A to the end of production.

That is, compared to the production schedule based on the current line configuration of Fig. 6, it can be confirmed that the total production time and the production time required for product A are shortened in the production schedule based on the new line configuration after the production line of Fig. 7 is rearranged.

If the total production time and the production time of product A are reduced, and productivity is set to be improved, the production results of the new production line can be judged to be more productive than the production results of the current production line through simulation. In this case, the inline production equipment decision device (10) determines that the new line of FIG. 7 is the optimal production line compared to the current line of FIG. 6 when determining the optimal production line, and the inline production equipment placement device (20) can reallocate actual equipment from the current line to the new line.

Referring to Fig. 8, a product according to the present disclosure may be a PCB (S). In this case, each mounter (100) may include a rail section (160) on which the PCB (S) moves, a feeder (150) for supplying components mounted on the PCB, and a gantry (120) for mounting components.

The gantry (120) can be moved on the upper side of the PCB to mount components (C). The gantry (120) can be equipped with multiple heads (130) to simultaneously mount multiple components in a single operation. Each head (130) can be equipped with a nozzle (140) according to the size of the component, etc. to adsorb the component.

The difference (error) between the intended mounting position of a component on the PCB (S) and the actual mounting position of the component may be affected by the position and angle at which the component is mounted, the state of the nozzle (140), etc., as a result of the control of the gantry (120) or the head (130). The above configurations are all components that constitute the mounter (100), and may be components corresponding to the movable part of the mounter (100).

Depending on the PCB being produced, information regarding components (C) and mounting points (P) may vary. Furthermore, the number and type of mounters used to mount components on the PCB may vary, as may the number of feeders used to supply components, and the number of nozzles used to suck up components. These factors can impact PCB production. By digitizing and learning these factors, an optimal production line model can be derived to ensure productivity.

The methods according to the embodiments described in the claims or specification of the present disclosure may be implemented in the form of hardware, software, or a combination of hardware and software.

When implemented in software, a computer-readable storage medium storing one or more programs (software modules) may be provided. The one or more programs stored in the computer-readable storage medium are configured for execution by one or more processors within an electronic device. The one or more programs include instructions that cause the electronic device to execute methods according to the embodiments described in the claims or specification of the present disclosure.

These programs (software modules, software) may be stored in random access memory, non-volatile memory including flash memory, read only memory (ROM), electrically erasable programmable read only memory (EEPROM), magnetic disc storage devices, compact disc-ROM (CD-ROM), digital versatile discs (DVDs) or other forms of optical storage devices, magnetic cassettes, or may be stored in memories formed by a combination of some or all of these. In addition, each configuration memory may include multiple copies.

Additionally, the program may be stored on an attachable storage device that is accessible via a communication network, such as the Internet, an intranet, a local area network (LAN), a wide area network (WAN), a storage area network (SAN), or a combination thereof. Such a storage device may be connected to a device performing an embodiment of the present disclosure via an external port. Additionally, a separate storage device on the communication network may be connected to a device performing an embodiment of the present disclosure.

In the specific embodiments of the present disclosure described above, components included in the disclosure are expressed in the singular or plural form, depending on the specific embodiment presented. However, the singular or plural expressions are selected to suit the presented situation for convenience of explanation, and the present disclosure is not limited to singular or plural components. Components expressed in the plural form may be composed of singular elements, or components expressed in the singular form may be composed of plural elements.

While the detailed description of this disclosure has described specific embodiments, it should be understood that various modifications are possible without departing from the scope of this disclosure. Therefore, the scope of this disclosure should not be limited to the described embodiments, but should be defined not only by the scope of the claims described below, but also by equivalents thereof.

Claims (11)

In a method for determining an inline production equipment layout, the method is performed by one or more processors included in an inline production equipment layout determination device, Step of obtaining production information of a product; A step of obtaining inline production equipment layout information for producing the above product; A step of generating a production result of the current production line using the production information of the above product and the inline production equipment layout information; A step for predicting the production results of a new production line through simulation; A step of comparing the production results of the current production line and the production results of the new production line to determine the optimal production line; and A method for determining the layout of inline production equipment, comprising a step of rearranging inline production equipment based on the above optimal production line. In the first paragraph, A method for determining the arrangement of inline production equipment, wherein in the step of obtaining production information of the above product, the production information of the above product includes information on parts to be installed at designated points of the above product and information on the production quantity of the above product. In the first paragraph, A method for determining an inline production equipment layout, wherein, in a step of obtaining information on an inline production equipment layout for the production of the above product, the inline production equipment layout information includes information on the type and number of equipment, layout order, and production space size. In the third paragraph, A method for determining an inline production equipment layout, wherein the above inline production equipment layout information further includes the types and total number of feeders that can be placed on a mounter, which is one of the production equipment, and the types and total number of nozzles that can be placed on the mounter. In the first paragraph, The step of generating the production results of the current production line using the production information of the above product and the inline production equipment layout information is as follows: A method for determining the layout of inline production equipment, which generates the production results of the current production line by using production quantity information of the above products and production priority information among the above products. In paragraph 5, A method for determining the layout of inline production equipment, wherein the production results of the current production line include the production start and end times of each product and the total production time of the entire product. In the first paragraph, The step of predicting the production results of the new production line through the above simulation is: A method for determining the arrangement of inline production equipment, which predicts the production results of a new production line through rearrangement of the inline production equipment based on production quantity information of the above products and production priority information among the above products. In the first paragraph, The step of determining the optimal production line by comparing the production results of the current production line and the production results of the new production line is as follows: A method for determining the arrangement of inline production equipment, which determines the optimal production line by comparing the production results of the current production line and the production results of a plurality of new production lines generated through simulation. In paragraph 8, A method for determining an inline production equipment layout, wherein the step of determining the optimal production line includes a step of determining the optimal production line based on the number of products produced per unit time, using the number of products produced and the production completion time. In paragraph 8, A method for determining the arrangement of inline production equipment, wherein the step of determining the optimal production line includes a step of determining the optimal production line based on the operating rate of equipment constituting the production line, using the production quantity and production completion time of the product. In paragraph 8, A method for determining an inline production equipment layout, wherein the step of determining the optimal production line comprises a step of determining the optimal production line based on a production line that minimizes the number of feeders or nozzles used by a mounter among the equipment constituting the production line, using the production quantity and production completion time of the product.