TWI735316B - System for making decision of digitally production and method for the same - Google Patents

Abstract

A system for making decision of digitally production and a method for the same are provided. The system includes a manufacturing equipment, a measuring equipment, a manufacturing information database, an electronic device for purchasing, and a production decision analysis device. The manufacturing information database stores a first production efficiency and a first production yield corresponding to a first source component, and a second production efficiency and a second production yield corresponding to a second source component. The electronic device for purchase stores a first purchase cost corresponding to the first source component and a second purchase cost corresponding to the second source component. The production decision analysis device provides a yield priority mode, a yield priority mode, and a cost priority mode for users to choose, and generates a material composition form accordingly.

Description

Digital production decision-making system and digital production decision-making method

The present invention relates to a decision-making system and a decision-making method, in particular to a digital production decision-making system and a decision-making method applied to the manufacturing industry.

Since the third industrial revolution, traditional industries all over the world have become more mechanized and automated due to the popularization of computers and electronic information, which has greatly changed the way of life of human beings.

On the basis of industrial informatization, a large number of information systems have been developed in order to improve the operational efficiency of enterprises. For example, ERP enterprise resource planning mainly integrates the work processes and information of the production, sales, human resources, research and finance departments of the enterprise, and assists Establish procedures, systems, standards, reduce the repetition of manual operations, ensure the company’s TQC (delivery, quality, and cost) control, optimize operation management, and improve corporate competitiveness. However, in fact, it is still limited by manufacturers and manufacturers of different ERP designs. Real-time (management cycle), transparency (demand distortion), and how the company's original resources are integrated; however, because ERP is an information system for the upper-level management of the enterprise, it generally does not directly support the detailed process of the factory, so the MES manufacturing execution system was born Used for factory production monitoring and management, to realize the two-way information flow between the enterprise planning layer and the factory execution layer, optimize the manufacturing process, make the products delivered on time, increase the inventory turnover rate, and provide on-site emergency status when an emergency occurs in the production activity The processing information is immediately ruled out for various mechanical or personnel processing abnormalities, but the actual situation of the factory is ever-changing, and there are still many unpredictable problems.

As mentioned above, the existing technology also uses the PLM product life cycle management system to manage the documents generated by the application software in the product cycle and the business process information generated by each production link, so as to increase the transparency of research and development, improve the efficiency of research and development, and ensure the quality of research and development. Synchronous integration of ERP can also enable enterprises to quickly respond to changes in customer needs and market changes. However, due to the different management priorities of PLM and ERP, there are still problems with integration with ERP, as well as issues such as product change synchronization and information coordination.

In addition, in the existing technology, there are management systems such as SCM, CRM, WMS, but the system still needs to rely on human operation and cannot be self-directed. It will not perform ideally due to differences between departments and human operations. These systems should be improved.

In view of the fact that in the prior art, the existing management systems mostly only monitor and manage corporate resources, and often rely on human judgment and operations, and cannot make decisions under their own leadership, which affects the production planning and process of the product; The main purpose of the present invention is to provide a digital production decision-making system and a digital production decision-making method, which can be provided based on production information and purchase costs.

In order to solve the problems of the prior art, the necessary technical means adopted by the present invention is to provide a digital production decision-making system, including a manufacturing equipment, a measurement equipment, a manufacturing information database, an electronic device for purchasing, and a production decision analysis Device.

The manufacturing equipment is used to manufacture a first source component or a second source component into a designated product, and generate a first production efficiency when the first source component is used to manufacture the designated product, and when the second source is used When the components are manufactured into specified products, a second production efficiency is generated.

The measuring equipment is used to measure the designated product manufactured by the manufacturing equipment using the first source component to obtain a first production yield, and to measure the designated product manufactured by the manufacturing equipment using the second source component And obtain a second production yield.

The manufacturing information database stores first production information and second production information that control a manufacturing equipment to produce a specified product. The first production information includes a first source component parameter corresponding to a first source component And a first historical process result of using a first source component to produce a specified product, and the second production information includes a second source component parameter corresponding to a second source component and a second source component produced using a second source component The second historical process result of the specified product, the first historical process result includes a first production efficiency and a first production yield, and the second historical process result includes a second production efficiency and a second production yield.

The electronic device for purchase stores a first purchase cost corresponding to the first source component and a second purchase cost corresponding to the second source component. The production decision analysis device is electrically connected to the manufacturing information database and the electronic device for purchasing, and includes a comparative analysis module and an operating interface.

The comparative analysis module has a built-in yield priority mode, a yield priority mode, and a cost priority mode. The yield priority mode is to zero the first source corresponding to the higher of the first production efficiency and the second production efficiency. The component or the second source component is used as a yield priority component, and the yield priority mode is the first source component or the second source component corresponding to the higher of the first production yield and the second production yield. The component is used as a yield priority component, and the cost priority mode uses the first source component or the second source component corresponding to the lower of the first purchase cost and the second purchase cost as a cost priority component.

The operating interface is electrically connected to the comparative analysis module for the user to select one of the yield priority mode, yield priority mode, and cost priority mode, and accordingly generate a yield priority component, good List of manufacturing requirements for rate-priority components or cost-priority components.

Another necessary technical means adopted by the present invention to solve the problems of the prior art is to provide a digital production decision-making method. The first step (A) is to establish the above-mentioned manufacturing information database; then, step (B) is to use the above-mentioned procurement The above-mentioned first purchase cost and the second purchase cost are stored in an electronic device; then, step (C) is to use the above-mentioned production decision analysis device to provide a yield priority mode, a yield priority mode, and a cost priority mode for use Finally, step (D) is when the user selects the yield priority mode, the first source component or the second source component corresponding to the higher one of the first production efficiency and the second production efficiency is regarded as one Yield priority components; when the user selects the yield priority mode, the first source component or the second source component corresponding to the higher of the first production yield and the second production yield is regarded as a good Rate priority components; when the user selects the cost priority mode, the first source component or the second source component corresponding to the lower of the first purchase cost and the second purchase cost is regarded as a cost priority component .

As mentioned above, the digital production decision-making system and decision-making method provided by the present invention use the first production information, the second production information, the first purchase cost, and the second purchase cost as the basis of comparison, so as to compare the comparison in different selection modes. Corresponding to the first source component or the second source component as a priority component to provide a manufacturing requirement component list, which can effectively achieve the goal of yield priority, yield priority or cost priority.

The specific embodiments adopted in the present invention will be further explained by the following embodiments and drawings.

Please refer to the first figure. The first figure is a system schematic diagram of the digital production decision-making system provided by the preferred embodiment of the present invention. As shown in the figure, a digital production decision-making system 100 includes a manufacturing equipment 1, a measurement equipment 2, a manufacturing information database 3, a purchasing electronic device 4, and a production decision analysis device 5.

The manufacturing equipment 1 is a device for manufacturing a specified product, and the manufacturing equipment 1 is preset with all process steps and product components to be manufactured daily. The measuring device 2 is used to measure whether the specification parameters of the specified product meet the standard, so as to further calculate the yield of the specified product.

The manufacturing information database 3 is electrically connected to the manufacturing equipment 1 and the measuring equipment 2, and stores the first production information 31 and the second production information 32 that control the manufacturing equipment 1 to produce a specified product. The first production information 31 includes a first source component parameter 311 corresponding to a first source component and a first historical process result 312 that uses the first source component to produce a specified product. The second production information 32 includes a first source component parameter 311 corresponding to a first source component. A second source component parameter 321 of two source components and a second historical process result 322 of a specified product made from the second source component. The first historical process result 312 includes a first production efficiency 3121 and a first production Yield rate 3122. The second historical process result 322 includes a second production efficiency 3221 and a second production yield 3222; for example, when manufacturing equipment 1 uses the first source components to produce a specified product, manufacturing equipment 1 will The first source component parameters 311 and the first production efficiency 3121 are sent to the manufacturing information database 3 for storage, and the manufactured specified products are sent to the measuring equipment 2 for measurement, so that the measuring equipment 2 will measure The first production yield rate 3122 obtained later is sent to the manufacturing information database 3 for storage.

As mentioned above, the manufacturing information database 3 is an internal manufacturing information database of a factory, but it is not limited to this. In other embodiments, the manufacturing information database 3 may also be a cloud manufacturing information database. In addition, it should be supplemented that the first production efficiency 3121 and the second production efficiency 3221 are yields, and the designated product can be a semi-finished product or a final product.

In this embodiment, the designated product is, for example, a motor rotor, and the first source component is a wire provided by manufacturer A, the second source component is a wire provided by manufacturer B, and the manufacturing equipment 1 is an automatic winding of the motor coil. Line equipment, the first production information 31 and the second production information 32 are the production information recorded by the manufacturing equipment 1 using the first source component or the second source component to produce a specified product. Taking the first production information 31 as an example, the first source component parameter 311 of the first production information 31 is a control parameter for the manufacturing equipment 1 to use the first source component to produce a specified product. The first source component parameter 311 is used in this implementation In the example, parameters such as winding speed, tension value, or winding width, etc., and the first production efficiency 3121 of the first historical process result 312 is the production efficiency of the manufacturing equipment 1 using the first source components to produce the specified product, the first The first production yield rate 3122 of the historical process result 312 is the yield rate of the specified product manufactured by the manufacturing equipment 1 using the first source component; among them, the first source component is the wire provided by manufacturer A, and the second source The components are wires provided by manufacturer B, so although they are all wires, there will still be slight differences resulting in differences in the efficiency, yield and cost of the final product, such as the thickness of the insulating paint of the wires and the diameter of the wires. The error range of the wire or the metal material used in the wire, etc.

In addition, in practice, the first production information 31 may further include installation date, installation location, installation process and steps, equipment control interface and commands, the cause of the defect or the process, step, or location of the defect.

Similarly, the second source component parameter 321 of the second production information 32 is the control parameter for the manufacturing equipment 1 to use the second source component to produce the specified product, and the second production efficiency 3221 is for the manufacturing equipment 1 to use the second source component. The production efficiency of manufacturing the specified product, and the second production yield rate 3222 is the yield rate of the manufacturing equipment 1 using the second source components to manufacture the specified product.

In summary, although the motor rotor is used as an example of the designated product in this embodiment, it is not limited to this in other embodiments. The designated product can also be various electronic equipment or machinery that need to be assembled and processed. The first source component and the second source component are the components that make up the electronic equipment or mechanical device, and the first source component and the second source component are similar components, and the difference lies only in the supplier Different, different models or different structures, etc., but these differences will not affect the function of the product, that is, the first source component and the second source component are components that can be used in common with the specified product.

The electronic device 4 for purchase stores a first purchase cost 41 corresponding to the first source component and a second purchase cost 42 corresponding to the second source component. Among them, the first purchase cost 41 is the purchase cost of the first source component, and the second purchase cost 42 is the purchase cost of the second source component, and the electronic device 4 for purchase is also preset with a cost change warning range value. When either the first purchase cost 41 or the second purchase cost 42 exceeds the value of the warning range of cost changes, the electronic device 4 for purchase will automatically collect the relevant information of the change through the Internet and provide it for the user's reference; in practice, The value of the alert range of cost changes can be the increase or decrease based on the average historical cost, and the average historical cost can be the first purchase cost 41, the second purchase cost 42, or the first purchase cost 41 and the second purchase cost. The historical average of 42, and the increase or decrease can be set in proportion.

In addition, in addition to storing the first purchase cost 41 and the second purchase cost 42, the electronic device 4 for purchase also stores the product name, model, supplier, manufacturer, and manufacturer corresponding to the first source component and the second source component. Size, shape, material, function and production date.

As mentioned above, in practice, the electronic device 4 for procurement is, for example, a computer installed with management systems such as ERP (Enterprise Resource Planning), PLM (Product Life Cycle Management System), or MES (Manufacturing Execution System). The cost 41 and the second purchase cost 42 can be obtained from ERP, PLM, or MES, but are not limited to this. In other embodiments, the first purchase cost 41 and the second purchase cost 42 can also be stored in other storage formats (such as Excel). .

The production decision analysis device 5 is electrically connected to the manufacturing information database 3 and the electronic device 4 for purchasing, and includes a comparison analysis module 51 and an operation interface 52. The comparative analysis module 51 has a built-in yield priority mode, a yield priority mode, and a cost priority mode. The yield priority mode is the first production efficiency 3121 and the second production efficiency 3221 corresponding to the higher one. A source component or a second source component is used as a yield priority component, and the yield priority mode is the first source component corresponding to the higher of the first production yield rate 3122 and the second production yield rate 3222 Or the second source component is used as a yield priority component, and the cost priority mode is to use the first source component or the second source component corresponding to the lower of the first purchase cost 41 and the second purchase cost 42 as One cost priority to use components.

The operating interface 52 is electrically connected to the comparative analysis module for the user to select one of the yield priority mode, yield priority mode, and cost priority mode, and generate a yield priority component, The manufacturing requirement component list 200 of the yield priority component or the cost priority component.

Based on the above, in actual application, the comparison analysis module 51 will compare the first production efficiency 3121 of the first source component, the first production yield rate 3122, and the first purchase cost 41 with the second source component’s second The production efficiency 3221, the second production yield rate 3222, and the second purchase cost 42 are compared, and in this embodiment are the first production efficiency 3121, the first production yield rate 3122, the first purchase cost 41, and the second production efficiency 3221 , The second production yield rate 3222 and the second purchase cost 42 are all compared with the average value of historical data, as shown in Table 1 and Table 2 below:

Table I: Statistics of first source components period Production yield Productivity purchase cost D1 90% 500 pcs/day +5% D2 85% 300 pcs/day -1% D3 77% 400 pcs/day +3% D4 80% 450 pcs/day +1% D5 79% 450 pcs/day -2% D6 66% 500 pcs/day -4% D7 92% 150 pcs/day -3% D8 87% 600 pcs/day +2% average 82% 419 pcs/day +0.125%

Table II: Statistical data of components from the second source period Production yield Productivity purchase cost D1 63% 600 pcs/day +6% D2 86% 250 pcs/day +1% D3 75% 300 pcs/day +1% D4 81% 200 pcs/day -1% D5 92% 350 pcs/day -1% D6 86% 600 pcs/day -2% D7 93% 350 pcs/day +1% D8 67% 650 pcs/day +3% average 80.9% 369 pcs/day +1%

As mentioned above, Table 1 is based on the statistics of the first production information 31 and the first purchase cost 41 of the first source components provided by the manufacturing information database 3 and the purchasing electronic device 4. The production yield rate in Table 1 , Production efficiency and procurement cost are respectively the first production efficiency 3121, the first production yield rate 3122 and the first procurement cost 41; similarly, Table 2 corresponds to the second production efficiency 3221 of the second source component Yield rate 3222 and second purchase cost 42.

Wherein, when the user selects the yield priority mode through the operation interface 52, the comparison analysis module 51 will judge according to the historical data of the first source component and the second source component (that is, the contents of the above Table 1 and Table 2) The average production efficiency of the first source component is higher than the average production efficiency of the second source component, and then the first source component is used as the yield priority component; when the user selects the yield priority mode through the operation interface 52, The comparative analysis module 51 will also determine that the average production yield of the first source component is higher than the average production yield of the second source component based on the historical data of the first source component and the second source component, and then the first source component One source component is used as the yield priority component; in addition, when the user selects the cost priority mode through the operation interface 52, the comparison analysis module 51 will make a judgment based on the historical data of the first source component and the second source component The average purchase cost of the second source component is lower than the average purchase cost of the second source component, and the second source component is then regarded as the cost priority component.

Please continue to refer to the second figure, which is a flowchart showing the steps of the digital production decision method provided by the preferred embodiment of the present invention. As shown in the first and second figures, the digital production decision-making method of the present invention includes the following steps. First, step S101 is to establish a manufacturing information database 3 so that the manufacturing information database 3 stores the control of a manufacturing equipment 1 manufacturing A designated product is a first production information 31 and a second production information 32. The first production information 31 includes a first source component parameter 311 corresponding to a first source component and a first source component system The first historical process result 312 of the specified product is obtained, and the second production information 32 includes a second source component parameter 321 corresponding to a second source component and a second history of using the second source component to produce the specified product The process result 322, the first historical process result 312 includes a first production efficiency 3121 and a first production yield 3122, and the second historical process result 322 includes a second production efficiency 3221 and a second production yield 3222. Wherein, in other embodiments, before step S101, the manufacturing equipment 1 may be used to manufacture the first source component or the second source component into a designated product, and the first source component may be used to manufacture the designated product after the first source component is manufactured into the designated product. A production efficiency 3121, and a second production efficiency 3221 is calculated by using the second source component to manufacture a specified product; in addition, after using the manufacturing equipment 1 to manufacture the first source component or the second source component into a specified product, It is also possible to then use the measuring equipment 2 to measure the specified products manufactured by the manufacturing equipment 1 using the first source components to obtain the first production yield rate 3122, and to use the measuring equipment 2 to measure the manufacturing equipment 1 to use the second source zero The specified product manufactured by the component obtains a second production yield of 3222.

Then, step S102 is to use the electronic device 4 for purchasing to store a first purchase cost 41 corresponding to the first source component and a second purchase cost 42 corresponding to the second source component.

Next, in step S103, a production decision analysis device 5 is used to provide a yield priority mode, a yield priority mode, and a cost priority mode for the user to select.

Finally, in step S104, when the user selects the yield priority mode, the production decision analysis device 5 uses the first source component or the second source component corresponding to the higher of the first production efficiency and the second production efficiency as First, yield priority components; when the user selects the yield priority mode, the production decision analysis device 5 compares the first source component or the second source component corresponding to the higher of the first production yield and the second production yield. The two-source component is used as a yield priority component; when the user selects the cost priority mode, the production decision analysis device 5 is the first source component corresponding to the lower of the first purchase cost and the second purchase cost Or the second source component is used as a cost priority component.

In addition, after step S104, the production decision analysis device 5 can further generate a component containing yield priority, yield priority or cost priority according to the yield priority mode, yield priority mode, or cost priority mode. The list of manufacturing required components is provided for the user’s reference.

In summary, compared with the prior art management system that only monitors and manages enterprise resources, it cannot make decisions under its own leadership. The digital production decision-making system and method provided by the present invention use the first production information and the second production information. Production information, the first purchase cost and the second purchase cost are used as the basis for comparison, and the yield priority mode, yield priority mode and cost priority mode are provided for users to choose, so as to correspond to the first mode according to the mode selected by the user. The source component or the second source component is used as the priority component to provide a list of manufacturing requirement components, so that the user can express the recommended component production product according to the material composition, and then achieve yield priority, yield priority or cost priority the goal of.

Based on the above detailed description of the preferred embodiments, it is hoped that the characteristics and spirit of the present invention can be described more clearly, and the scope of the present invention is not limited by the preferred embodiments disclosed above. On the contrary, the purpose is to cover various changes and equivalent arrangements within the scope of the patent for which the present invention is intended.

100: Digital production decision-making system

1: Manufacturing equipment

2: Measuring equipment

3: Manufacturing Information Database

31: First production information

311: First source component parameters

312: The first historical process result

3121: First production efficiency

3122: First production yield

32: Second production information

321: Second source component parameters

322: Second historical process result

3221: second production efficiency

3222: Second production yield

4: Electronic devices for procurement

41: First purchase cost

42: Second purchase cost

5: Production decision analysis device

51: Comparative Analysis Module

52: Operation interface

200: List of manufacturing required components

The first figure is a system diagram showing the digital production decision-making system provided by the preferred embodiment of the present invention; and The second figure is a flow chart showing the steps of the digital production decision-making method provided by the preferred embodiment of the present invention.

100: Digital production decision-making system

1: Manufacturing equipment

2: Measuring equipment

3: Manufacturing Information Database

31: First production information

311: First source component parameters

312: The first historical process result

3121: First production efficiency

3122: First production yield

32: Second production information

321: Second source component parameters

322: Second historical process result

3221: second production efficiency

3222: Second production yield

4: Electronic devices for procurement

41: First purchase cost

42: Second purchase cost

5: Production decision analysis device

51: Comparative Analysis Module

52: Operation interface

200: List of manufacturing required components

Claims (7)

A digital production decision-making system, including: A manufacturing equipment is used to manufacture a first source component or a second source component into a designated product, and generate a first production efficiency when the first source component is used to manufacture the designated product, and When the second source component is used to manufacture the designated product, a second production efficiency is generated; A measuring device is used to measure the specified product manufactured by the manufacturing device using the first source component to obtain a first production yield, and to measure the manufacturing device using the second source zero The designated product manufactured by the component obtains a second production yield rate; A manufacturing information database storing first production information and a second production information that control the manufacturing equipment to produce the specified product, the first production information including a first source corresponding to the first source component Component parameters and a first historical process result of using the first source component to produce the specified product, the second production information includes a second source component parameter corresponding to a second source component and a use of the The second source component produces a second historical process result of the specified product, the first historical process result includes a first production efficiency and a first production yield, and the second historical process result includes a second production efficiency and 1. The second production yield rate; An electronic device for purchase is stored with a first purchase cost corresponding to the first source component and a second purchase cost corresponding to the second source component; and A production decision analysis device is electrically connected to the manufacturing information database and the electronic device for purchasing, and includes: A comparative analysis module is built-in with a yield priority mode, a yield priority mode, and a cost priority mode. The yield priority mode corresponds to the higher of the first production efficiency and the second production efficiency The first source component or the second source component is used as a yield priority component, and the yield priority mode corresponds to the higher of the first production yield and the second production yield The first source component or the second source component is used as a yield priority component, and the cost priority mode is the first source corresponding to the lower of the first purchase cost and the second purchase cost The component or the second source component as a cost priority component; and An operating interface is electrically connected to the comparative analysis module for the user to select one of the yield priority mode, the yield priority mode, and the cost priority mode, and generate a product containing the product accordingly. List of manufacturing requirement components for rate priority components, yield priority components, or cost priority components. The digital production decision-making system according to claim 1, wherein the manufacturing information database is a factory internal manufacturing information database. The digital production decision-making system according to claim 1, wherein the manufacturing information database is a cloud manufacturing information database. The digital production decision-making system according to claim 1, wherein the electronic device for purchase is further preset with a cost change warning range value, when any one of the first purchase cost or the second purchase cost exceeds the cost change When the warning range value is set, the electronic device for purchasing is automatically searched through the Internet to collect the relevant information of this change and provide it to the user for reference. A digital production decision-making method, including the following steps: (a) Establish a manufacturing information database, so that the manufacturing information database stores first production information and a second production information that control a manufacturing equipment to produce a specified product, and the first production information includes one corresponding to one The first source component parameter of the first source component and a first historical process result of the specified product produced by the first source component, and the second production information includes a first source component corresponding to a second source component Two source component parameters and a second historical process result of using the second source component to produce the specified product. The first historical process result includes a first production efficiency and a first production yield, the second history The process result includes a second production efficiency and a second production yield; (b) Using a purchasing electronic device to store a first purchase cost corresponding to the first source component and a second purchase cost corresponding to the second source component; (c) Use a production decision analysis device to provide a yield priority mode, a yield priority mode, and a cost priority mode for users to choose; and (d) when the user selects the yield priority mode, the production decision analysis The device uses the first source component or the second source component corresponding to the higher one of the first production efficiency and the second production efficiency as a yield priority component; when the user selects the yield rate In the priority mode, the production decision analysis device uses the first source component or the second source component corresponding to the higher one of the first production yield and the second production yield as a yield priority Components; when the user selects the cost priority mode, the production decision analysis device is the first source component or the second source component corresponding to the lower of the first purchase cost and the second purchase cost The component is a cost priority component. The digital production decision-making method according to claim 5, wherein, before step (a), it further includes a step (a1), which uses the manufacturing equipment to manufacture the first source component or the second source component into For the designated product, the first production efficiency is calculated after the first source component is used to manufacture the designated product, and the second production efficiency is calculated after the second source component is used to manufacture the designated product. The digital production decision-making method according to claim 5, wherein, before step (a), it further includes a step (a2), which uses a measuring equipment to measure the manufacturing equipment manufactured by the first source component The designated product is used to obtain the first production yield, and the measurement equipment is used to measure the designated product manufactured by the manufacturing equipment using the second source component to obtain the second production yield.

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