Manufacturing system design aid
By designing a manufacturing system design auxiliary device that includes manufacturing requirement setting, design scheme generation, evaluation index setting and learning rules, the problem that the existing technology cannot generate suitable manufacturing system design from the TCO perspective is solved, and the manufacturing system is realized Comprehensive evaluation and comparison of design plans improve the suitability of the design.
Patent Information
- Application Number
- CN201880097235.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2018-09-12
- Publication Date
- 2024-12-17
- Estimated Expiration
- 2038-09-12
AI Technical Summary
The existing manufacturing system design auxiliary devices cannot generate multiple suitable manufacturing system designs from the perspective of TCO creation and execution, and cannot conduct comprehensive evaluation and comparison, resulting in inappropriate designs from the perspective of factory operations.
A manufacturing system design auxiliary device is designed, including manufacturing requirements setting, design scheme generation, evaluation index setting, evaluation result calculation and display. By extracting, learning and storing design rules, a design scheme that meets manufacturing requirements is generated, and the It is evaluated and compared.
It can generate a manufacturing system design plan that meets manufacturing requirements, and display the evaluation results of the design plan in a comparative manner to help make more appropriate manufacturing system design judgments from the perspective of factory operations.
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Figure CN112654943B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to a manufacturing system design support device that generates a design plan for a manufacturing system for manufacturing a product and discloses the evaluation result. Background Art
[0002] In the prior art, for example, as in Patent Document 1, a process design device is provided, which repeatedly updates the process design based on work element information, equipment information, operator information, etc. and process layout evaluation values through a process preparation generation unit and a process layout generation unit for a production process of producing a plurality of similar products in order to generate an appropriate process design scheme that associates process preparation with process layout.
[0003] Patent Document 1: Japanese Patent Application Publication No. 2004-355147 Summary of the invention
[0004] In such a manufacturing system design support device, a set of process compilation and process layout that meets the pre-set evaluation target value during manufacturing execution can be generated. However, it is unable to reveal a plurality of appropriate manufacturing system designs from the perspective of TCO (Total Cost of Ownership) including the creation and execution of the manufacturing system.
[0005] The present invention is proposed to solve the above-mentioned problems, and can generate multiple manufacturing system design plans that meet the manufacturing requirements and compare them. The purpose is to be able to display the evaluation results when the manufacturing system is created and when the manufacturing is executed at a glance, so that the more appropriate manufacturing system design from the perspective of factory management can be judged through simulation before actual machine operation.
[0006] The manufacturing system design support device according to the present invention is characterized in that it has: a manufacturing requirement setting unit that sets manufacturing requirements when manufacturing products in a manufacturing system; a manufacturing system design plan generating unit that generates a manufacturing system design plan that meets the manufacturing requirements; an evaluation index setting unit that sets the evaluation index of the manufacturing system design plan; a manufacturing system design plan evaluating unit that calculates the evaluation result of the manufacturing system design plan based on the evaluation index; and an evaluation result display unit that displays the evaluation result, wherein the manufacturing system design plan generating unit has: a manufacturing system design plan extracting unit that extracts the manufacturing system design plan based on the manufacturing requirements and the evaluation index; an evaluation result storage unit that stores a plurality of combination results formed by the manufacturing requirements, the evaluation index, the manufacturing system design plan, and the evaluation result; a manufacturing system design rule learning unit that learns a rule for deriving the manufacturing system design plan with a high evaluation for a group of the manufacturing requirements and the evaluation index based on the combination result; and a manufacturing system design rule storage unit that stores the learning result of the manufacturing system design rule learning unit as a manufacturing system design rule.
[0007] Effects of the Invention
[0008] According to the manufacturing system design support device according to the present invention, it is possible to generate a manufacturing system design plan that satisfies manufacturing requirements and to display evaluation results of the design plans in a comparative manner. BRIEF DESCRIPTION OF THE DRAWINGS
[0009] Figure 1 This is a block diagram showing the structure of the manufacturing system design support device according to the first embodiment of the present invention.
[0010] Figure 2 This is a schematic diagram showing a screen for setting evaluation indicators of the manufacturing system design support device according to the first embodiment of the present invention.
[0011] Figure 3 This is a flowchart showing the logic of the manufacturing system design support device according to the first embodiment of the present invention.
[0012] Figure 4 This is a schematic diagram showing a screen that displays the evaluation results of the manufacturing system design support device according to the first embodiment of the present invention.
[0013] Figure 5 This is a schematic diagram showing the learning of design rules by the manufacturing system design support device according to the second embodiment of the present invention. DETAILED DESCRIPTION
[0014] Implementation method 1.
[0015] Figure 11 is a block diagram showing the structure of a manufacturing system design support device according to Embodiment 1 of the present invention. The manufacturing system design support device is composed of an input / output unit 1 that serves as a user interface and an operation processing unit 2 that performs internal processing. The operation processing unit 2 is composed of a storage device such as a CPU (central processing unit) and a hard disk. The input / output unit 1 has an input unit 11 and an output unit 12. A manufacturing requirement setting unit 111 of the input unit 11 sets manufacturing requirements when manufacturing a product in a manufacturing system, and an evaluation index setting unit 112 of the input unit 11 sets evaluation indexes for a manufacturing system design plan.
[0016] The manufacturing requirement setting unit 111 sets manufacturing requirements, which include at least one of the specifications of the product manufactured in the manufacturing system, the specifications of the production equipment, which is a structural element of the manufacturing system, and the production plan for producing the product using the manufacturing system. In addition, the evaluation index setting unit 112 sets one or more evaluation indexes for evaluating the design of the manufacturing system.
[0017] Figure 2 This is a schematic diagram of a screen for setting evaluation indicators of the manufacturing system design support device involved in embodiment 1 of the present invention. For example, required time, required man-hours, and required cost can be selected as evaluation indicators at the time of creation. In addition, for example, comprehensive equipment efficiency, net equipment efficiency, qualified rate, delivery date compliance rate, equipment effectiveness, and labor productivity can be selected as evaluation indicators during operation. The start and end dates can be selected as the specified evaluation period.
[0018] The evaluation index setting unit 112 is, for example, Figure 2 The contents of the evaluation index are set on the setting screen that allows selection of the type of evaluation index value and designation of the start date and end date of the evaluation target period as shown.
[0019] The calculation processing unit 2 includes a manufacturing system design plan generating unit 21 and a manufacturing system design plan evaluating unit 22. The manufacturing system design plan generating unit 21 generates a manufacturing system design plan that satisfies the manufacturing requirements, and the manufacturing system design plan evaluating unit 22 calculates the evaluation result of the manufacturing system design plan based on the evaluation index. The evaluation result display unit 121 of the output unit 12 displays the evaluation result of the manufacturing system design plan evaluating unit 22.
[0020] The manufacturing system design solution generation unit 21 is composed of a manufacturing system design solution extraction unit 211, an evaluation result storage unit 212, a manufacturing system design rule learning unit 213, and a manufacturing system design rule storage unit 214. The manufacturing system design solution extraction unit 211 extracts a manufacturing system design solution based on the manufacturing requirements set by the manufacturing requirement setting unit 111 and the evaluation index set by the evaluation index setting unit 112. In addition, the manufacturing system design solution extraction unit 211 extracts a manufacturing system design solution using the manufacturing system design rules of the manufacturing system design rule storage unit 214, which stores the learning results of the manufacturing system design rule learning unit 213 as manufacturing system design rules. In other words, the manufacturing system design solution extraction unit 211 extracts a manufacturing system design solution with reference to the manufacturing system design rules.
[0021] The manufacturing system design proposal generation unit 21 generates one or more manufacturing system design proposals satisfying the manufacturing requirements, and the manufacturing system design proposal extraction unit 211 extracts one or more manufacturing system design proposals in consideration of the evaluation index.
[0022] The evaluation result storage unit 212 receives and stores a plurality of combination results formed of manufacturing requirements, evaluation indicators, manufacturing system design plans, and evaluation results from the manufacturing system design plan evaluation unit 22. The manufacturing system design rule learning unit 213 learns a rule for deriving a highly evaluated manufacturing system design plan for a group of manufacturing requirements and evaluation indicators based on the combination results stored in the evaluation result storage unit 212. The manufacturing system design rule storage unit 214 stores the learning results of the manufacturing system design rule learning unit 213 as a manufacturing system design rule.
[0023] The manufacturing system design evaluation unit 22 includes a manufacturing system evaluation calculation unit 221, a manufacturing system creation evaluation unit 222, a manufacturing system execution evaluation unit 223, a production scheduler 224, a production simulator 225, and a control system interface 226. Here, the manufacturing system execution evaluation unit 223 evaluates manufacturing execution using at least any one of the production scheduler 224 that performs work planning of manufacturing equipment for manufacturing products and allocation planning of operators, the production simulator 225 that performs simulation of production by manufacturing equipment and operators, and the control system interface 226 that obtains actual production performance data of manufacturing equipment.
[0024] The evaluation index setting unit 112 sets the creation evaluation index for evaluating the creation work and the manufacturing system execution evaluation index for evaluating the manufacturing execution during operation, and sends them to the manufacturing system evaluation calculation unit 221. In addition, the manufacturing system design plan extraction unit 211 extracts the manufacturing system design plan by referring to the manufacturing system design rules, and sends them to the manufacturing system evaluation calculation unit 221.
[0025] The manufacturing system creation evaluation unit 222 evaluates the creation of the manufacturing system based on the creation evaluation index. The manufacturing system execution evaluation unit 223 evaluates the manufacturing execution using at least any one of the production scheduler 224, which performs work planning of manufacturing equipment and operator allocation planning for manufacturing products, the production simulator 225, which performs simulation of production by manufacturing equipment and operators, and the control system interface 226, which obtains actual production performance data of manufacturing equipment. In addition, the evaluation result display unit 121 sorts and displays the manufacturing system design plans based on the evaluation index of the specified period.
[0026] The manufacturing system evaluation calculation unit 221 ranks the manufacturing system design proposals based on the evaluation indicators of a predetermined period for the evaluation results of the manufacturing system creation evaluation unit 222 and the manufacturing system execution evaluation unit 223 , and sends the ranking to the evaluation result display unit 121 .
[0027] Figure 3 This is a flowchart showing the logic of the manufacturing system design support device according to Embodiment 1 of the present invention. The manufacturing system design support device is implemented as an application program on a computer having the logic installed therein, and outputs a design proposal of a manufacturing system suitable for given conditions.
[0028] The manufacturing system design support device starts from step S1 . In step S2 , the manufacturing requirements are inputted by the manufacturing requirement setting unit 111 . In step S3 , the evaluation index is inputted by the evaluation index setting unit 112 .
[0029] In step S4, the existence of a design rule that can derive a manufacturing system design solution from a group of manufacturing requirements and evaluation indicators is confirmed. If a design rule exists in step S4, the process proceeds to step S5, and if a design rule does not exist, the process proceeds to step S6. In step S5, a design solution to which the design rule is applied is generated. More specifically, a manufacturing system design solution is generated from a group of manufacturing requirements and evaluation indicators based on the design rule. After step S5, the process proceeds to step S7.
[0030] In step S6, an initial design that meets the manufacturing requirements is generated. In other words, an initial design that meets the manufacturing requirements is generated as a manufacturing system design. After step S6, the process proceeds to step S7.
[0031] After the manufacturing system design proposal is generated in step S5 or step S6, evaluation calculation of the design proposal is performed in step S7. More specifically, the evaluation based on the evaluation index input in step S3 is calculated for the manufacturing system design proposal.
[0032] In step S8, the evaluation calculation result is displayed as the evaluation result, and then in step S9, the evaluation result is recorded. In step S10, the design rules are learned based on the evaluation result of the manufacturing system design scheme derived from the combination of manufacturing requirements and evaluation indicators. In step S11, the design rules recorded in the manufacturing system design rule storage unit 214 are updated.
[0033] If the manufacturing system design is not adopted in step S12, the process returns to step S2, and the manufacturing requirements and evaluation indicators are changed as needed to generate a manufacturing system design again. If the manufacturing system design is adopted in step S12 with reference to the evaluation result of step S8, the process ends in step S13.
[0034] Specifications of products manufactured in a manufacturing system include at least one of the material, size, function, performance, component structure, and manufacturing process of the manufactured product, for example, the material of the product, dimensional data showing the three-dimensional shape of the product, the precision tolerance of the dimensional data, an overview of the components that make up the product, the process for manufacturing the product, etc.
[0035] In addition, the specifications of the production equipment, which are structural elements of the manufacturing system, include at least one of the size, function, performance, and component structure of the equipment used in the production of the product, for example, dimensional data showing the three-dimensional shape of the production equipment, the installation area of the production equipment, the types of processing that the production equipment can handle, the processing accuracy of the production equipment, etc.
[0036] As a method of expressing a 3D shape corresponding to a product or production equipment, 3D CAD data stored as digital data may also be used. A production plan is a plan of the types and quantities of products to be manufactured using a manufacturing system during a certain manufacturing period in units of months, weeks, days, etc.
[0037] The evaluation index includes evaluation indexes at the time of establishment of the manufacturing system and evaluation indexes at the time of operation when the design plan of the manufacturing system is applied. As the evaluation index at the time of establishment, for example, the time, man-hours, and cost required for establishment of the manufacturing system can be selected.
[0038] As the evaluation index during operation, for example, the comprehensive equipment efficiency, net equipment efficiency, product qualification rate and other KPI (Key Performance Indicator) indicators defined by ISO22400, and the delivery date compliance rate of products similar to KPI can be selected, and at least one indicator value can be greater than or equal to it. The start and end dates of the period are matched with the production plan, and the specified target period is set as the evaluation target period.
[0039] The manufacturing system design plan is a design plan including at least one of the structure of production equipment, the layout of production equipment, and the arrangement of operators. The manufacturing system design plan is evaluated based on the evaluation index by the manufacturing system design plan evaluation unit 22. The evaluation value of each evaluation index for the manufacturing system design plan is calculated by the manufacturing system evaluation calculation unit 221.
[0040] The evaluation value is calculated using the evaluation results obtained by the manufacturing system creation evaluation unit 222 and the manufacturing system execution evaluation unit 223. The evaluation value calculated by the manufacturing system evaluation calculation unit 221 is displayed on the evaluation result display unit 121 of the output unit 12.
[0041] For example, when two types of products, product A and product B, are manufactured in a manufacturing system, a manufacturing method consisting of one or more manufacturing processes is defined for product A and product B. The manufacturing process is performed using any one of one or more production equipment having a manufacturable function and performance.
[0042] The manufacturing system design is defined by the layout of production equipment and the arrangement of operators required to achieve the production plan of product a and product b. For the defined manufacturing system design, the manufacturing system evaluation calculation unit 221 calculates the evaluation value. The evaluations obtained by the manufacturing system creation evaluation unit 222 and the manufacturing system execution evaluation unit 223 are used in the calculation of the evaluation value by the manufacturing system evaluation calculation unit 221.
[0043] The evaluation of the operations at the time of manufacturing system establishment is performed in the manufacturing system establishment evaluation unit 222. The operations at the time of manufacturing system establishment include, for example, the purchase of new production equipment, the movement or disposal of unnecessary production equipment, the layout change of production equipment, the mechanical adjustment of production equipment, the design and development of the control program of production equipment, the operation confirmation of production equipment, and other operations necessary for the operation of the manufacturing system.
[0044] In the evaluation performed by the manufacturing system establishment evaluation unit 222, the above-mentioned operations are taken into consideration, and a numerical value corresponding to an evaluation index selected by the evaluation index setting unit 112 from among the time, man-hours, and cost required for establishing the manufacturing system is calculated.
[0045] The manufacturing system execution evaluation unit 223 evaluates the operation of the manufacturing system during production execution. The operation of the manufacturing system during production execution refers to the execution of manufacturing based on the production plan through operations performed by the production equipment and operations performed by the operator. The operations performed by the production equipment include, for example, processing performed by a working machine, transportation performed by a transportation device, and inspection performed by an inspection device, which are performed based on a program stored in a control device of the production equipment.
[0046] The work performed by the operator includes, for example, the selection of parts, the fixing of jigs or processing target parts to working machines, the assembly of parts by manual work, the setting of conditions for inspection equipment, and other work directly performed by the operator at the manufacturing site.
[0047] In the evaluation performed by the manufacturing system execution evaluation unit 223, when the production execution of the manufacturing system is carried out through operations performed by production equipment and operations performed by operators, a numerical value relative to an evaluation index is calculated. The evaluation index is selected by the evaluation index setting unit 112 from evaluation indicators such as the factory's comprehensive equipment efficiency, net equipment efficiency, product qualification rate, product delivery date compliance rate, etc.
[0048] In calculating the evaluation value, production equipment and operators are allocated based on the production plan, and the result obtained by simulating the production schedule calculated by the production scheduler 224 is used by the production simulator 225, wherein the production simulator 225 simulates the manufacturing system design in a virtual space. The production scheduler 224 sold as a software product can generally be used to determine the production schedule.
[0049] When actually constructing a manufacturing system based on the manufacturing system design plan and executing manufacturing based on the production scheduler 224, the actual manufacturing system is used instead of the production simulator 225. In this case, actual production performance data is obtained from the control device of the production equipment via the control system interface 226, and the evaluation value is calculated based on this.
[0050] The manufacturing system evaluation calculation unit 221 outputs the evaluation values for one or more evaluation indicators to the evaluation result display unit 121 for one or more manufacturing system design proposals based on the evaluation results of the manufacturing system creation evaluation unit 222 and the manufacturing system execution evaluation unit 223 .
[0051] Figure 4 This is a schematic diagram of a screen showing the evaluation results of the manufacturing system design support device according to Embodiment 1 of the present invention. For each design proposal, for example, the time, man-hours, and cost at the time of creation, the overall equipment efficiency during operation, the delivery date compliance rate, and the overall evaluation are shown as evaluation results. Figure 4 In the figure, it is shown that Figure 2 The selected items are matched with the example of the selected items at creation time and operation time.
[0052] The evaluation result display unit 121 is as follows: Figure 4 As shown, the evaluation result is output in a table format with the vertical axis being the manufacturing system design plan and the horizontal axis being the evaluation index. The evaluation index at the time of creation and the evaluation index at the time of operation set by the evaluation index setting unit 112 are displayed in the evaluation index of the horizontal axis. The evaluation value of the evaluation index of the horizontal axis is displayed as the evaluation result. As a comprehensive evaluation of the manufacturing system design plan based on the evaluation index at the time of creation and the evaluation index at the time of operation used by the evaluation index of the horizontal axis, the average value of the evaluation ranking between the manufacturing system design plans is calculated, and the average value is added to the beginning of the evaluation index of the horizontal axis and displayed. In addition, the manufacturing system design plans that are the evaluation objects can be sorted according to the order of the evaluation values of each evaluation index listed on the horizontal axis. In this way, a manufacturing system design plan that meets the manufacturing requirements can be generated, and the evaluation results can be displayed comparatively.
[0053] As described above, the manufacturing system design assistance device has: a manufacturing requirement setting unit, which sets the manufacturing requirements when manufacturing products in the manufacturing system; a manufacturing system design plan generating unit, which generates a manufacturing system design plan that meets the manufacturing requirements; an evaluation index setting unit, which sets the evaluation index of the manufacturing system design plan; a manufacturing system design plan evaluating unit, which calculates the evaluation results of the manufacturing system design plan based on the evaluation index; and an evaluation result display unit, which displays the evaluation results. Therefore, the manufacturing system design assistance device can generate a manufacturing system design plan that meets the manufacturing requirements and display the evaluation results of the design plan in a comparative manner.
[0054] In addition, the evaluation index setting unit sets creation evaluation indicators for evaluating creation operations and manufacturing system execution evaluation indicators for evaluating manufacturing execution during operation. The manufacturing system design plan evaluation unit has a manufacturing system creation evaluation unit and a manufacturing system execution evaluation unit. The manufacturing system design plan evaluation unit calculates the evaluation results of the manufacturing system creation evaluation unit and the manufacturing system execution evaluation unit. The manufacturing system creation evaluation unit evaluates the creation of the manufacturing system based on the creation evaluation indicators, and the manufacturing system execution evaluation unit evaluates the manufacturing execution based on the manufacturing system execution evaluation indicators.
[0055] In addition, the manufacturing system design scheme generating unit includes: a manufacturing system design scheme extracting unit, which extracts manufacturing system design schemes based on manufacturing requirements and evaluation indicators; an evaluation result storing unit, which stores a plurality of combination results formed by manufacturing requirements, evaluation indicators, manufacturing system design schemes and evaluation results; a manufacturing system design rule learning unit, which learns rules for deriving highly evaluated manufacturing system design schemes for groups of manufacturing requirements and evaluation indicators based on the combination results; and a manufacturing system design rule storage unit, which stores the learning results of the manufacturing system design rule learning unit as manufacturing system design rules.
[0056] The manufacturing system design proposal extracting unit extracts the manufacturing system design proposals by referring to the manufacturing system design rules. The evaluation result displaying unit ranks and displays the manufacturing system design proposals based on the evaluation index in a predetermined period.
[0057] In addition, the manufacturing system execution evaluation unit evaluates manufacturing execution using at least any one of a production scheduler, a production simulator, and a control system interface, wherein the production scheduler performs work planning for manufacturing equipment used to manufacture products and configuration planning for operators, the production simulator simulates production performed by manufacturing equipment and operators, and the control system interface obtains actual production performance data of the manufacturing equipment.
[0058] Implementation method 2.
[0059] The configuration of the second embodiment is the same as that of the first embodiment. The second embodiment is different from the first embodiment in that the manufacturing system design rule learning unit 213 uses reinforcement learning and causes a neural network to perform learning.
[0060] Learning in the manufacturing system design rule learning unit 213 can use reinforcement learning, for example. Reinforcement learning refers to a type of machine learning that deals with the following problem, that is, an agent in a certain environment observes the current state and decides the action to be taken. The agent obtains rewards from the environment by choosing actions. Reinforcement learning learns the strategy that obtains the most rewards through a series of actions. The algorithm of reinforcement learning is similar to the dynamic programming method. Reinforcement learning is an unsupervised learning that updates the estimate of future rewards through the experience of groups of states and actions in order to learn the appropriate actions in a certain state. It is known that a method of experiencing various combinations of states and actions through simulation.
[0061] Reinforcement learning is performed in which the combination of the manufacturing requirements set by the manufacturing requirement setting unit 111 and the current layout of the manufacturing system and the configuration of the operators is set as a "state", the change of the layout of the manufacturing system and the configuration of the operators is set as an "action", and the result of the "action" in a given period and the evaluation result calculated based on the evaluation index are set as a "reward". In the learning process of reinforcement learning, if the action is performed, the state changes, and as a result, various combinations of states and actions are experienced, and rewards are obtained, thereby determining the evaluation of the combination.
[0062] By executing the learning process of reinforcement learning using the production simulator 225, actions are obtained for manufacturing requirements, such as changing the layout of the manufacturing system and the configuration of the operators to other layouts and other configurations, or not changing them. In this way, the rules obtained by reinforcement learning are stored in the manufacturing system design rule storage unit 214.
[0063] When the layout of the manufacturing system and the configuration of operators are applied in an actual factory, the evaluation can be calculated based on the evaluation index according to the data obtained through the control system interface 226, reflected in the reinforcement learning, and stored in the manufacturing system design rule storage unit 214.
[0064] Based on the rules stored in the manufacturing system design rule storage unit 214 , the manufacturing system design proposal extraction unit 211 extracts a manufacturing system design proposal that improves the evaluation of each evaluation index set by the evaluation index setting unit 112 according to the manufacturing requirements set by the manufacturing requirement setting unit 111 .
[0065] In addition, when reinforcement learning is repeatedly performed and examples of combinations of outputs of suitable manufacturing system design solutions relative to the inputs of manufacturing requirements and evaluation indicators are successfully collected, the collected examples can be used as teaching signals to enable the neural network that obtains outputs based on the inputs to learn.
[0066] Figure 5 The present invention is a schematic diagram showing the learning of the design rules of the manufacturing system design support device according to the second embodiment of the present invention, and is a schematic diagram showing a neural network as a learning object. The items of manufacturing requirements and evaluation indexes are set as inputs of the neural network, and the items of the preliminary manufacturing system design plan are set as outputs of the neural network. The neural network is made to learn by giving the combination of the manufacturing requirements and the evaluation indexes and a plurality of examples of manufacturing system design plans suitable for the combination as teaching signals to the neural network.
[0067] The learning results of the neural network can also be stored as rules in the manufacturing system design rule storage unit 214 , and can be flexibly used for extracting manufacturing system design plans in the manufacturing system design plan extraction unit 211 .
[0068] As described above, the manufacturing system design assistance device has: a manufacturing requirement setting unit, which sets the manufacturing requirements when manufacturing products in the manufacturing system; a manufacturing system design plan generating unit, which generates a manufacturing system design plan that meets the manufacturing requirements; an evaluation index setting unit, which sets the evaluation index of the manufacturing system design plan; a manufacturing system design plan evaluating unit, which calculates the evaluation results of the manufacturing system design plan based on the evaluation index; and an evaluation result display unit, which displays the evaluation results. Therefore, the manufacturing system design assistance device can generate a manufacturing system design plan that meets the manufacturing requirements and display the evaluation results of the design plan in a comparative manner.
[0069] In addition, the evaluation index setting unit sets creation evaluation indicators for evaluating creation operations and manufacturing system execution evaluation indicators for evaluating manufacturing execution during operation. The manufacturing system design plan evaluation unit has a manufacturing system creation evaluation unit and a manufacturing system execution evaluation unit. The manufacturing system design plan evaluation unit calculates the evaluation results of the manufacturing system creation evaluation unit and the manufacturing system execution evaluation unit. The manufacturing system creation evaluation unit evaluates the creation of the manufacturing system based on the creation evaluation indicators, and the manufacturing system execution evaluation unit evaluates the manufacturing execution based on the manufacturing system execution evaluation indicators.
[0070] In addition, the manufacturing system design scheme generating unit comprises: a manufacturing system design scheme extracting unit, which extracts manufacturing system design schemes based on manufacturing requirements and evaluation indicators; an evaluation result storing unit, which stores a plurality of combination results formed by manufacturing requirements, evaluation indicators, manufacturing system design schemes and evaluation results; a manufacturing system design rule learning unit, which learns rules for deriving highly evaluated manufacturing system design schemes for groups of manufacturing requirements and evaluation indicators based on the combination results; and a manufacturing system design rule storage unit, which stores the learning results of the manufacturing system design rule learning unit as manufacturing system design rules.
[0071] The manufacturing system design proposal extracting unit extracts the manufacturing system design proposals by referring to the manufacturing system design rules. The evaluation result displaying unit ranks and displays the manufacturing system design proposals based on the evaluation index in a predetermined period.
[0072] In addition, the manufacturing system execution evaluation unit evaluates manufacturing execution using at least any one of a production scheduler, a production simulator, and a control system interface, wherein the production scheduler performs work planning for manufacturing equipment used to manufacture products and configuration planning for operators, the production simulator simulates production performed by manufacturing equipment and operators, and the control system interface obtains actual production performance data of the manufacturing equipment.
Claims
1. A manufacturing system design auxiliary device, characterized in that: have: A manufacturing requirement setting unit that sets manufacturing requirements when manufacturing a product in a manufacturing system; A manufacturing system design plan generating unit, which generates a manufacturing system design plan that meets the manufacturing requirements; An evaluation index setting unit, which sets the evaluation index of the manufacturing system design scheme; a manufacturing system design proposal evaluation unit that calculates an evaluation result of the manufacturing system design proposal based on the evaluation index; and an evaluation result display unit, which displays the evaluation result, The manufacturing system design solution generating unit comprises: a manufacturing system design solution extracting unit, which extracts a manufacturing system design solution by referring to a manufacturing system design rule based on the manufacturing requirements and the evaluation index; An evaluation result storage unit storing a plurality of combination results formed by the manufacturing requirements, the evaluation indexes, the manufacturing system design scheme and the evaluation results; a manufacturing system design rule learning unit that learns a rule for deriving the manufacturing system design proposal with a high evaluation for the group of the manufacturing requirement and the evaluation index based on the combination result; as well as a manufacturing system design rule storage unit that stores the learning result of the manufacturing system design rule learning unit as the manufacturing system design rule, The evaluation index setting unit sets a creation evaluation index for evaluating a creation operation and a manufacturing system execution evaluation index for evaluating manufacturing execution during operation. The manufacturing system design scheme evaluation unit includes: a manufacturing system creation evaluation unit that evaluates the creation of the manufacturing system based on the creation evaluation index; a manufacturing system execution evaluation unit that evaluates manufacturing execution based on the manufacturing system execution evaluation index; and a manufacturing system evaluation calculation unit that calculates the evaluation results of the manufacturing system creation evaluation unit and the manufacturing system execution evaluation unit, The evaluation result includes an evaluation result of a creation operation of the manufacturing system creation evaluation unit and an evaluation result of a manufacturing execution of the manufacturing system execution evaluation unit. The evaluation result display unit displays a list of evaluation results of the creation work and evaluation results of the manufacturing execution.
2. The manufacturing system design support device according to claim 1, characterized in that: The evaluation result display unit ranks and displays the manufacturing system design proposals based on the evaluation index in a predetermined period.
3. The manufacturing system design support device according to claim 1, characterized in that: The manufacturing system execution evaluation unit evaluates the manufacturing execution using at least any one of a production scheduler, a production simulator, and a control system interface, wherein the production scheduler performs work planning for the manufacturing equipment used to manufacture the product and configuration planning for the operators, the production simulator simulates the production performed by the manufacturing equipment and the operators, and the control system interface obtains actual production performance data of the manufacturing equipment.
4. The manufacturing system design support device according to claim 2, characterized in that: The manufacturing system execution evaluation unit evaluates the manufacturing execution using at least any one of a production scheduler, a production simulator, and a control system interface, wherein the production scheduler performs work planning for the manufacturing equipment used to manufacture the product and configuration planning for the operators, the production simulator simulates the production performed by the manufacturing equipment and the operators, and the control system interface obtains actual production performance data of the manufacturing equipment.
5. The manufacturing system design support device according to any one of claims 1 to 4, characterized in that: The manufacturing system design rule learning unit uses reinforcement learning.
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