WO2018172808A1 - Method and system for simulating an industrial system - Google Patents
Method and system for simulating an industrial system Download PDFInfo
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- WO2018172808A1 WO2018172808A1 PCT/IB2017/000359 IB2017000359W WO2018172808A1 WO 2018172808 A1 WO2018172808 A1 WO 2018172808A1 IB 2017000359 W IB2017000359 W IB 2017000359W WO 2018172808 A1 WO2018172808 A1 WO 2018172808A1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/418—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM]
- G05B19/41885—Total factory control, i.e. centrally controlling a plurality of machines, e.g. direct or distributed numerical control [DNC], flexible manufacturing systems [FMS], integrated manufacturing systems [IMS] or computer integrated manufacturing [CIM] characterised by modeling, simulation of the manufacturing system
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/32—Operator till task planning
- G05B2219/32339—Object oriented modeling, design, analysis, implementation, simulation language
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Definitions
- the present disclosure is directed, in general, to computer-aided design, visualization, and manufacturing (“CAD”) systems, product lifecycle management (“PLM”) systems, product data management (“PDM”) systems, and similar systems, that manage data for products and other items (collectively, “Product Data Management” systems or PDM systems). More specifically, the disclosure is directed to production environment simulation.
- CAD computer-aided design, visualization, and manufacturing
- PLM product lifecycle management
- PDM product data management
- PDM product data management
- Industrial manufacturing processes produce a desired product and also generate "side results" such as, for example, heat and industrial waste.
- Industrial side processes are often times required for dealing with, the industrial side results. Examples of side processes include but are not limited to: dealing with dissipated heat, removing waste, removing harmful emissions, and more generally, addressing side effects of production processes.
- the heat generated by the main industrial processes may need to be removed from the working area through cooling techniques, e.g. air cooling techniques or other types of cooling techniques.
- Some cooling techniques may involve hierarchical processes, e.g. a local cooling by using a coolant and a cooling of this coolant by using a cooling tower.
- Various disclosed embodiments include methods and corresponding systems and computer readable mediums for simulating an industrial system comprising a set of main processes and a set of side processes for processing side objects resulting from the processing of the main process set.
- a method includes providing a set of main simulation components for simulating the main process set and a set of side simulation components to simulate the side process set.
- the method includes defining a virtual object layer comprising at least a virtual main object and at least a virtual side object. Virtual objects communicate with each other through an object interface module.
- the virtual main object represents the real main object as processed by the corresponding main process set.
- the virtual side object represents the real side object as processed by the corresponding side process set.
- the classes of said virtual objects are defined in a library.
- the virtual objects have a component interface module for communication with a corresponding simulation component.
- the method includes defining at least one side controller for grouping a plurality of side simulation components into a functional group for simulating a same functional side process.
- the method includes simulating said industrial system by putting in communication at least one main simulation component and at least one side simulation component through the virtual object layer and by putting in communication the at least one side controller with at least one side simulation component.
- Figure 1 illustrates a block diagram of a data processing system in which an embodiment can be implemented
- Figure 2 illustrates a block diagram of a virtual main object in accordance with disclosed example embodiments
- Figure 3 illustrates a block diagram of a virtual side object in accordance with disclosed example embodiments
- Figure 4 illustrates a block diagram of a virtual object layer in accordance with disclosed example embodiments
- Figure 5 illustrates a schematic block diagram structure of a side controller in accordance with disclosed example embodiments
- Figure 6 illustrates a schematic block diagram of an example of simulation system in accordance with disclosed example embodiments.
- Figure 7 illustrates a flowchart of a process for simulating an industrial system in accordance with disclosed embodiments.
- FIGURES 1 through 7, discussed below, and the various embodiments used to describe the principles of the present disclosure in this patent document are by way of illustration only and should not be construed in any way to limit the scope of the disclosure. Those skilled in the art will understand that the principles of the present disclosure may be implemented in any suitably arranged device. The numerous innovative teachings of the present application will be described with reference to exemplary non-limiting embodiments.
- the output information of the previous simulation techniques is usually specific for the given facility and thus not reusable in a flexible manner.
- Embodiments enable designing a simulation system which accurately mirrors the hierarchy of the real industrial systems with respect to main and side processes. Simulation components of a main producing processes and of a plurality of side processes are integrated together in a unified simulation model where side process components are independent - or at least weakly synchronized - from the main process components but where data exchange is enabled. Hence, it is possible to define a simulation system having independent simulation channels for the main processes and for the side processes with programmable side controllers. [0025] Embodiments enable combining a set of stochastic simulation models of side processes with a stochastic model of a main production process allowing data exchange while keeping weak associations. Hence, with embodiments, it is possible to simulate an industrial system in a comprehensive manner providing concurrent stochastic simulations for analyzing a plurality of aspects of an industrial system.
- Embodiments enable designing a customizable simulation of an industrial system, due to the flexible and modular structure of the simulation system and due to the versatility of the side controllers. Hence, in embodiments, side process modules may advantageously be reused.
- Embodiments enable the reutilization of classes of virtual main objects and virtual side objects defined in the corresponding libraries.
- Embodiments reduce efforts in developing a simulation system.
- Embodiments enable extending the applicability range of industrial simulation systems into industrial fields where side processes play a key role.
- Embodiments enable data processing and exchange in an arbitrary phase of the simulation.
- Embodiments enable the modification of parameters of side processes in a dynamic manner, also during execution time.
- Embodiments enable runtime control of simulation model according to the results of the main and side simulation channels.
- Embodiments enable exchanging data with external storage and/or big data information to increase the accuracy of the simulation results.
- Embodiments enable the determination of the critical parameters for process optimizations. [0035] Embodiments enable the accurate estimation of ecological impacts of industrial systems. Advantageously, reports on ecological and society impacts per production unit can be generated and re-utilized.
- FIG. 1 illustrates a block diagram of a data processing system 100 in which an embodiment can be implemented, for example as a PDM system particularly configured by software or otherwise to perform the processes as described herein, and in particular as each one of a plurality of interconnected and communicating systems as described herein.
- the data processing system 100 illustrated can include a processor 102 connected to a level two cache/bridge 104, which is connected in turn to a local system bus 106.
- Local system bus 106 may be, for example, a peripheral component interconnect (PCI) architecture bus.
- PCI peripheral component interconnect
- Also connected to local system bus in the illustrated example are a main memory 108 and a graphics adapter 110.
- the graphics adapter 110 may be connected to display 111.
- peripherals such as local area network (LAN) / Wide Area Network / Wireless (e.g. WiFi) adapter 1 12, may also be connected to local system bus 106.
- LAN local area network
- WiFi Wide Area Network
- adapter 1 may also be connected to local system bus 106.
- Expansion bus interface 1 14 connects local system bus 106 to input/output (I/O) bus 116.
- I/O bus 1 16 is connected to keyboard/mouse adapter 118, disk controller 120, and I/O adapter 122.
- Disk controller 120 can be connected to a storage 126, which can be any suitable machine usable or machine readable storage medium, including but not limited to nonvolatile, hard-coded type mediums such as read only memories (ROMs) or erasable, electrically programmable read only memories (EEPROMs), magnetic tape storage, and user-recordable type mediums such as floppy disks, hard disk drives and compact disk read only memories (CD-ROMs) or digital versatile disks (DVDs), and other known optical, electrical, or magnetic storage devices.
- ROMs read only memories
- EEPROMs electrically programmable read only memories
- CD-ROMs compact disk read only memories
- DVDs digital versatile disks
- Audio adapter 124 Also connected to I/O bus 116 in the example shown is audio adapter 124, to which speakers (not shown) may be connected for playing sounds.
- Keyboard/mouse adapter 118 provides a connection for a pointing device (not shown), such as a mouse, trackball, trackpointer, touchscreen, etc.
- a data processing system in accordance with an embodiment of the present disclosure can include an operating system employing a graphical user interface.
- the operating system permits multiple display windows to be presented in the graphical user interface simultaneously, with each display window providing an interface to a different application or to a different instance of the same application.
- a cursor in the graphical user interface may be manipulated by a user through the pointing device. The position of the cursor may be changed and/or an event, such as clicking a mouse button, generated to actuate a desired response.
- LAN/ WAN/Wireless adapter 1 12 can be connected to a network 130 (not a part of data processing system 100), which can be any public or private data processing system network or combination of networks, as known to those of skill in the art, including the Internet.
- Data processing system 100 can communicate over network 130 with server system 140, which is also not part of data processing system 100, but can be implemented, for example, as a separate data processing system 100.
- One or more of the processor 102, the memory 108, and the program running on the processor 102 receive the inputs via one or more of the local system bus 106, the adapter 1 12, the network 130, the server 140, the interface 114, the I/O bus 116, the disk controller 120, the storage 126, and so on.
- Receiving can include retrieving from storage 126, receiving from another device or process, receiving via an interaction with a user, or otherwise.
- FIG. 2 illustrates a block diagram of a virtual main object (“VMO") 202 in accordance with disclosed example embodiments.
- VMO virtual main object
- the virtual main object 202 interacts with a sequence of N simulation stations 201, where a simulation station is an example of a main simulation component ("MSQ").
- a main simulation component 201 is a component simulating one of more main processes, for example machining or testing.
- simulation components include, but are not limited to, simulation engines, stochastic and non-stochastic simulation engines, simulation cells, simulation stations, simulation modules.
- a Simulation system comprises connected simulation components intended for the comprehensive simulation of a real industrial system.
- a simulation station 201 may, for example, be a mathematical model of a machining tool.
- the simulation stations 201 are working on the virtual main object 202.
- the virtual main object 202 is a virtual representation of the real production object going through the real main production processes.-
- the virtual main object is modeled via its processing by the main simulation components 201.
- the virtual main object may have properties, input and output data. Examples of virtual main objects 202 include, but are not limited, to workpieces, parts to be machined by a machining tool or assembled.
- the virtual main object 202 is moving through the simulation stations 201 in accordance with the simulation flow ("SF") 203.
- the simulation flow 203 shows that the virtual main object 202 moves along the processing of the main simulation channel represented by the operations of the simulation stations 201.
- the virtual main object 202 may derive from classes defined in a simulation object library, e.g. comprising classes as workpieces, parts, assemblies, partial assemblies and the like.
- the simulation object library may be a standard simulation library delivered with a simulation application, or it may be a user defined library.
- the virtual main object 202 comprises an executive module 204 and an interface module 205 interfacing with an interface module 203 of a main simulation component 201 having an interface module ("IM") 223 and an executive module ("EXM”) 224.
- the executive module 204 of the virtual main object 202 is a mathematical representation of the real object, e.g. of the part or of the workpiece, and the interface module 205 provides a dynamic connection with at least one main simulation component 201 in accordance with the simulation flow 203.
- Such interface module is hereafter referred as component interface module (“CIM”) 205.
- the component interface module 205 enables information exchange, including data retrieval and setting, between the virtual main object 202 and the main simulation components 201 through data exchange connections 211-216.
- the exchanged information data may include one or more of the following:
- An attribute controller (“AC") 221 exchanges, translates, and/or interprets global attribute data parameters of the virtual main object 202 exchanged through connections 211, 212.
- Examples of such global attribute data include properties like the part color modifiable by a painting operation in the simulation station 201.
- the data on internal global parameters is exchanged directly through connections 213, 214.
- Examples of such internal global value data which are the public properties of the virtual main object 202 including general information such as serial number of part, status, production date.
- An internal program module (“IPM") 222 is an indirect data controller managing the private data exchanged through connections 215, 216.
- Such private data are specific parameters of the virtual main object 202 which may be constrained as, for example, temperature, pressure, and acceleration. This private data can be obtained indirectly only as result of additional specific processing. An example is the setting of input voltage which is converted to specific object internal parameters such as heat or internal electromotor rotational speed.
- the private data is processed and managed by the executive module 204 of this virtual main object 202 because it is preferably encapsulated data.
- the internal program module 222 allows working with the object private data so that the input information cannot directly impact the internal object state, according to the encapsulation principle.
- the internal program module 222 may check the input compliance to predefined restrictions, e.g. any attempt to set a voltage, temperature, or pressure out of its permissible range.
- the internal program module 222 may orchestrate internal processes of the virtual main object 202.
- the data that can be exchanged through the internal data controller 222 may for example be input voltage. In case the value of this voltage is converted to internal magnet momentum of force, such momentum of force is not depending only from the input voltage, but also from the magnet construction and therefore the momentum cannot be defined directly from the input.
- Figure 3 illustrates a block diagram of a virtual side object 302 in accordance with disclosed example embodiments.
- the virtual side object 302 interacts with simulation stations of main simulation components 301.
- the virtual side object (“VSO”) 302 represents the real side object deriving from the main real processes and its behavior takes also into account the processing of the corresponding side processes.
- the virtual side object 302 is moving through the simulation stations 301 in accordance with the simulation flow 303.
- Classes of virtual side objects 302 are defined in a newly defined side process library containing the basic side process classes, e.g. solid waste, gas portion, heat portion, and other types of side results.
- the virtual side object 302 comprises two different types of interface modules 305, 306.
- the first interface module 305 called component interface module, connects to a simulation component 301 and the second interface module 306, called object interface module, connects to a corresponding virtual main object or an aggregate of some other virtual side objects (as shown in Figure 4).
- the virtual side object 302 comprises the same modules as a virtual main object component interface module with connections 21 1-216 for connecting to main or side simulation components.
- the virtual side object is provided with the object interface module ("OIM") 306 with other data connections 31 1-316 intended to connect and exchange data with other objects, such as virtual main objects, other virtual side objects, side controllers, and external modules (as shown in Figure 6).
- OIM object interface module
- Figure 4 illustrates a block diagram of a virtual object layer 400 in accordance with disclosed example embodiments.
- the virtual object layer (“VOL”) 400 shown in Figure 4 comprises an aggregation of one virtual main object 40 and a first and a second virtual side objects 41, 42 with their corresponding executive modules.
- VOL virtual object layer
- the virtual main object 40 represents the workpiece
- the first virtual side object 41 represents the cooling device delivering a coolant to the workpiece.
- the second virtual side object 42 reads data from the first virtual side object 41 and exchanges such information with the corresponding side process component (not shown). Both virtual side objects 41,42 interpret the information via their executive modules.
- the virtual object layer 400 is a dynamic process holder modeling the simulation flow aggregating all the virtual main objects and all the virtual side objects of the simulation system, thus advantageously harmonizing the data format of the exchanged data with the simulation components of the main process simulation channel (“MPSC") 43 and on the side process simulation channel (“SPSC”) 44.
- MPSC main process simulation channel
- SPSC side process simulation channel
- the executive module, the component interface module, the object interface module of the virtual side objects may be customized and even replaced in accordance to the desired functionality, due to interfaces which are customizable and compatible with each other so as to obtain a modular and flexible simulation system.
- Figure 5 illustrates a schematic block diagram structure of a side controller 500 in accordance with disclosed example embodiments.
- the side controller 500 may comprise one or more of the following modules: a shared memory module (“SMM”) 501, a computation module (“CPTM”) 505, data exchange controller (“DEC”) 506, a control program module (“CPM”) 507 and an interpreter module (“INTM”) 508.
- SMM shared memory module
- CPTM computation module
- DEC data exchange controller
- CCM control program module
- INTM interpreter module
- the shared memory module 501 comprises a memory manager ("MM") 502 and two data section modules 503, 504, one attribute data section (“ADS") module 503 and one object data section (“ODS”) module 504.
- the shared memory module 501 is intended for keeping and distributing the modeling data.
- the role of the shared memory module 501 is to buffer the information and distribute it in accordance with internal and external requests. In such a manner, the side process simulation components are advantageously not rigidly synchronized with each other and with the main process simulation components.
- Tasks of the computational module 505 include computing data, reporting, creating queries, and/or computing data from storage.
- the controller of data exchange module 506 is working with external data storages and computing systems for data analysis and forecasts, e.g. for forecasting ecological impacts of industrial waste. It evaluates specific properties and attributes of objects, where such attribute may be permanent or current for the configuration.
- it is realized exchange of data with external data storages and computing systems.
- the external connection of the controller of data exchange module 506 goes to external modules (not shown) such a database or big data drivers thus allowing extended reporting possibilities.
- the control program module 507 supports the side controller functionality as part of a simulation system.
- the collected data are interpreted, controlled, and computed by an interpreter module 508, the control program module 507, and the computational module 505 respectively.
- interpreter module 508 the control program module 507, and the computational module 505 respectively.
- Such modules 505, 507, 508 are programmable and their functionality can be flexibly modified even during simulation, e.g in case of a cooling machine malfunctioning which needs to be replaced.
- the structure of the side controller 500 is modular in that it consists of independent modules interconnected with each other according to the needed functionality.
- the side controller 500 groups a plurality of virtual side objects into one or more functional groups where each functional group simulates the same industrial process, e.g. air conditioning, waste management.
- a simulation system may comprise one or more side controllers 500 in accordance with the specifications of the real industrial processes to be simulated.
- it is possible to analyze specific parameter contributions of side processes and to find the effective way for process optimization with minimal costs.
- Figure 6 schematically illustrates an example of simulation system in accordance with disclosed embodiments.
- main process simulation channel comprising a plurality of main simulation components 601.
- side process simulation channel comprising a plurality of side simulation components (“SSC j ”) 621, 622.
- Virtual main objects and virtual side objects of the virtual object layer 603 follow the simulation flow ("SF") 604 and exchange data with the simulation components 601, 621, 622 via corresponding data interfaces.
- the connections of the M side simulation components 621, 622 to the three side controllers (“SCTR k ”) 611, 612, 613 are defined to mirror the functionality of the real industrial system.
- the first side controller 611 processes data from the first side process component 621 and outputs it to the third side controller 613 which in turn, after processing, outputs it to report and analyzing instruments.
- the role of the second side controller 613 is to analyze data from the 1 st side process component 621, from the h side process component, from/to external data, and to output it to the third side controller 613.
- the virtual object layer 603 may be seen as a mobile structure, since it is moving through the simulation system from one simulation component to another simulation component 601, 621, 622 through the simulation flow 604 in a dynamic manner.
- an interface of a virtual object is connected to an interface of a simulation component.
- the virtual main object and virtual side object interfaces are not the same, but instead are similar and compatible since they derive from a common parent.
- a virtual side object gets information from a virtual main object but it is also capable of exchanging data with a simulation component directly.
- the virtual side object is preferably connected directly to a simulation component in a static manner.
- permanent on duty machines are simulated with simulation components where virtual side objects are statically connected directly to them, in order to permanently get the corresponding heat generation parameters.
- Figure 7 illustrates a flowchart 700 of a method for simulating an industrial system in accordance with disclosed embodiments.
- a method can be performed, for example, by system 100 of Figure 1 described above, but the "system" in the process below can be any apparatus configured to perform a process as described.
- the industrial system comprises a set of main processes and a set of side processes for processing side objects resulting from the processing of the main process set.
- a set of main simulation components is provided for simulating the main process set, and a set of side simulation components is provided for simulating the side process set.
- a virtual object layer comprising at least a virtual main object and at least a virtual side object in communication with each other through an object interface module are defined.
- the virtual main object represents the real main object as processed by the corresponding main process set
- the virtual side object represents the real side object as processed by the corresponding side process set.
- the classes of the virtual objects are defined in a library.
- the virtual objects have a component interface module for communication with a corresponding simulation component which may be a main simulation component or a side simulation component.
- the information exchanged via the object interface module comprises global attribute parameters, internal global parameters, and/or encapsulated parameters.
- the information exchanged between virtual objects, main or side ones, and simulation components via the component interface module comprises global attribute parameters, internal global parameters, and/or encapsulated parameters.
- At act 715 at least one side controller for grouping a plurality of side simulation components into a functional group for simulating the functional side process is defined.
- the side controller comprises a shared memory module, an interpreter module, a computation module, a controller of data exchange, and/or a control program module.
- the industrial system is simulated by putting in communication at least one main simulation component and at least one side simulation component through the virtual object layer and by putting in communication the at least one side controller with at least one side simulation component.
- At least one simulation component main or side one, comprises a stochastic-based simulation engine.
- EEPROMs programmable read only memories
- user-recordable type mediums such as floppy disks, hard disk drives and compact disk read only memories (CD-ROMs) or digital versatile disks (DVDs).
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| Application Number | Priority Date | Filing Date | Title |
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| PCT/IB2017/000359 WO2018172808A1 (en) | 2017-03-24 | 2017-03-24 | Method and system for simulating an industrial system |
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| Application Number | Priority Date | Filing Date | Title |
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| PCT/IB2017/000359 WO2018172808A1 (en) | 2017-03-24 | 2017-03-24 | Method and system for simulating an industrial system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040128120A1 (en) * | 1999-09-30 | 2004-07-01 | Coburn James D. | Simulation method and apparatus for use in enterprise controls |
| US20050080502A1 (en) * | 2003-10-14 | 2005-04-14 | Chernyak Alex H. | PLM-supportive CAD-CAM tool for interoperative electrical & mechanical design for hardware electrical systems |
| US20060282186A1 (en) * | 2005-05-20 | 2006-12-14 | Magma Giessereitechnologie Gmbh | Optimization of a production process |
| US20160188769A1 (en) * | 2013-08-05 | 2016-06-30 | Andrew John Howell | Simulating processes |
| WO2016168785A1 (en) * | 2015-04-17 | 2016-10-20 | Tulip Interfaces, Inc. | Augmented manufacturing system |
-
2017
- 2017-03-24 WO PCT/IB2017/000359 patent/WO2018172808A1/en not_active Ceased
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040128120A1 (en) * | 1999-09-30 | 2004-07-01 | Coburn James D. | Simulation method and apparatus for use in enterprise controls |
| US20050080502A1 (en) * | 2003-10-14 | 2005-04-14 | Chernyak Alex H. | PLM-supportive CAD-CAM tool for interoperative electrical & mechanical design for hardware electrical systems |
| US20060282186A1 (en) * | 2005-05-20 | 2006-12-14 | Magma Giessereitechnologie Gmbh | Optimization of a production process |
| US20160188769A1 (en) * | 2013-08-05 | 2016-06-30 | Andrew John Howell | Simulating processes |
| WO2016168785A1 (en) * | 2015-04-17 | 2016-10-20 | Tulip Interfaces, Inc. | Augmented manufacturing system |
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