Industrial cluster platform, method and equipment based on supply chain collaboration, medium and program product

Abstract

The invention relates to the technical field of automation, and provides an industrial cluster platform, method, device, medium and program product based on supply chain collaboration.The platform comprises a supplier manufacturing execution system serving as a manufacturing end system, a quality cloud system serving as an enterprise end system and a supply chain system used for a supply market end; the supply chain system is used for generating a purchase order; the supplier manufacturing execution system is used for performing product manufacturing based on the purchase order; the quality cloud system is used for performing statistical process control inspection on the product manufacturing process of the supplier manufacturing execution system, performing process quality control inspection after the statistical process control inspection is passed, and performing finished product inspection on the product passing the process quality control inspection; and associating the product passing the finished product inspection and the inspection report thereof to a purchase order of the supply chain system. According to the invention, the enterprise terminal monitors the quality of the supplier manufacturing process of the manufacturing terminal in the supply chain, so that the product consistency and the customer satisfaction can be improved.

Description

Technical Field

[0001] The present application relates to the field of automation technology, and in particular to an industrial cluster platform, method, equipment, medium and program product based on supply chain collaboration. Background Art

[0002] With the intensification of globalization and market competition, supply chain management faces increasingly complex problems. From customer demand to order delivery, enterprises frequently encounter breakpoints in the production and distribution process, resulting in coordination and standardized management becoming the main obstacles to the development of the supply chain. In the existing supply chain management and manufacturing process control solutions, there is a common problem of difficult manufacturing process control, resulting in poor product consistency. Specifically, in the traditional production process, due to insufficient monitoring means for the quality of the supplier's process, process abnormalities often occur during the production process, resulting in unstable product quality, affecting product consistency and customer satisfaction. Summary of the invention

[0003] The present application aims to solve at least one of the technical problems existing in the related art. To this end, the present application proposes an industrial cluster platform based on supply chain collaboration, which can stabilize product quality, improve product consistency and customer satisfaction.

[0004] This application also proposes an industrial cluster method, equipment, medium and program product based on supply chain collaboration.

[0005] According to the first aspect of the present application, the industrial cluster platform based on supply chain collaboration includes a supplier manufacturing execution system, a quality cloud system and a supply chain system; the supplier manufacturing execution system is a system at the manufacturing end; the quality cloud system is a system at the enterprise end; the supply chain system is used to supply the market end; The supply chain system is used to generate a purchase order; The supplier manufacturing execution system is used to manufacture products based on the purchase order; The quality cloud system is used to perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system, perform process quality control inspection after the statistical process control inspection is passed, perform finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order of the supply chain system.

[0006] According to the industrial cluster platform based on supply chain collaboration in the embodiment of the present application, through the industrial cluster platform based on supply chain collaboration including the supplier manufacturing execution system, the quality cloud system and the supply chain system, a purchase order on the market side can be generated through the supply chain system, and then the product manufacturing can be carried out based on the purchase order through the supplier manufacturing execution system on the manufacturing side, and the product manufacturing process of the supplier manufacturing execution system can be subjected to statistical process control inspection through the enterprise side quality cloud system, and process quality control inspection can be carried out after the statistical process control inspection passes, and finished product inspection can be carried out on the obtained product after the process quality control inspection passes, and the products that pass the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system, thereby, by monitoring the supplier process quality on the manufacturing side in the supply chain through the enterprise side, the product quality supplied to the market side can be guaranteed, and the product consistency and customer satisfaction can be improved.

[0007] According to one embodiment of the present application, the performing statistical process control inspection on the product manufacturing process of the supplier manufacturing execution system includes: Obtaining statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules; the statistical process control specifications are specifications for ensuring the stability and quality of the production process; the exception judgment rules are rules for identifying abnormal situations in the production process; Acquiring data to be tested from the product manufacturing process of the supplier manufacturing execution system based on the monitoring characteristics; Based on the statistical process control specification and the exception judgment rule, a statistical process control test is performed on the data to be tested.

[0008] According to an embodiment of the present application, the statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules are obtained from the quality cloud system or the supplier quality management system.

[0009] According to one embodiment of the present application, the process quality control inspection is performed after the statistical process control inspection is passed, including: Obtaining defect specifications and exception handling rules; the defect specifications are specifications for determining whether a product has defects; the exception handling rules are rules for adjusting the product manufacturing process for defective abnormal products; Performing process quality control inspection based on the defect specification after the statistical process control inspection passes; When it is determined through process quality control inspection that the number of abnormal products meets the abnormal indicators in the abnormal processing rules, the processing plan for the corresponding abnormal indicators in the abnormal processing rules is executed; the processing plan includes one of abnormal product maintenance and line shutdown processing.

[0010] According to one embodiment of the present application, the finished product inspection of the product that has passed the process quality control inspection includes: Obtaining a sampling plan and finished product inspection specifications; the finished product inspection specifications are specifications used to determine whether the finished product meets quality requirements; Sampling the products that pass the process quality control inspection based on the sampling plan; Conduct finished product inspection on the sampled products based on the finished product inspection specifications.

[0011] According to one embodiment of the present application, the quality cloud system includes a statistical process control module and a process quality control module. The statistical process control module is used to perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system, and the process quality control module is used to perform process quality control inspection after the statistical process control inspection passes; the statistical process control module and the process quality control module are respectively connected to the supplier's manufacturing execution system through standard interfaces.

[0012] According to the second aspect of the present application, an industrial cluster method based on supply chain collaboration applied to any of the above-mentioned industrial cluster platforms based on supply chain collaboration includes: Manufacturing products based on purchase orders; Conduct statistical process control inspection on the product manufacturing process, conduct process quality control inspection after the statistical process control inspection is passed, conduct finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

[0013] According to the device of the third aspect embodiment of the present application, the device is an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the industrial cluster method based on supply chain collaboration as described above is implemented.

[0014] According to the medium of the fourth aspect embodiment of the present application, the medium is a non-transitory computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the industrial cluster method based on supply chain collaboration as described above is implemented.

[0015] The program product according to the fifth aspect of the present application includes a computer program, which, when executed by a processor, implements the above-mentioned industrial cluster method based on supply chain collaboration.

[0016] The above one or more technical solutions in the embodiments of the present application have at least the following technical effects: Through the industrial cluster platform based on supply chain collaboration, which includes the supplier manufacturing execution system, the quality cloud system and the supply chain system, the market-side purchase order can be generated through the supply chain system, and then the product manufacturing can be carried out based on the purchase order through the supplier manufacturing execution system on the manufacturing side. The product manufacturing process of the supplier manufacturing execution system can be subjected to statistical process control inspection through the enterprise-side quality cloud system, and process quality control inspection can be carried out after the statistical process control inspection passes. After the process quality control inspection passes, the obtained product can be subjected to finished product inspection, and the products that pass the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system. Therefore, by monitoring the supplier process quality on the manufacturing side in the supply chain through the enterprise side, the product quality supplied to the market side can be guaranteed, and product consistency and customer satisfaction can be improved.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 It is a schematic diagram of the architecture of an industrial cluster platform based on supply chain collaboration provided in an embodiment of the present application.

[0020] Figure 2 It is a flow chart of an industrial cluster method based on supply chain collaboration provided in an embodiment of the present application.

[0021] Figure 3 It is a structural schematic diagram of the electronic device provided by this application. DETAILED DESCRIPTION

[0022] The following is a further detailed description of the implementation of the present application in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present application but cannot be used to limit the scope of the present application.

[0023] In the description of the embodiments of the present application, it should be noted that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, which are only for the convenience of describing the embodiments of the present application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as limiting the embodiments of the present application. In addition, the terms "first", "second", and "third" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance.

[0024] In the description of the embodiments of the present application, it should be noted that, unless otherwise clearly specified and limited, the terms "connected" and "connection" should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms in the embodiments of the present application can be understood according to specific circumstances.

[0025] In the embodiments of the present application, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0026] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiments of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0027] Figure 1 is a schematic diagram of the architecture of an industrial cluster platform based on supply chain collaboration provided by an embodiment of the present application, such as Figure 1As shown in the figure, the industrial cluster platform based on supply chain collaboration includes a supplier manufacturing execution system, a quality cloud system and a supply chain system; the supplier manufacturing execution system is a system at the manufacturing end; the quality cloud system is a system at the enterprise end; and the supply chain system is used to supply the market end; Supply chain systems, used to generate purchase orders; Supplier Manufacturing Execution System, used to manufacture products based on purchase orders; The quality cloud system is used to perform statistical process control inspections on the product manufacturing process of the supplier's manufacturing execution system, conduct process quality control inspections after the statistical process control inspections are passed, conduct finished product inspections on products that pass the process quality control inspections, and associate products that pass the finished product inspections and their inspection reports with purchase orders in the supply chain system.

[0028] This application obtains an industrial cluster platform based on supply chain collaboration by clustering the supply chain system used to supply the market end, the quality cloud system as a system on the enterprise end, and the supplier manufacturing execution system as a system on the manufacturing end. This can connect the market end, the manufacturing end, and the enterprise end, and build a quality control system throughout the entire supply chain.

[0029] As a result, not only the real-time monitoring and control capabilities of the entire value chain on supplier quality are improved, but also the transparency and traceability of data are enhanced, effectively improving the response speed and flexibility of the supply chain and avoiding quality risks caused by information lags or gaps.

[0030] Specifically, the supply chain system can be used to display products and provide market customers (such as distributors) with the opportunity to place orders. After placing an order, the manufacturing side will determine the process route for producing the products required for the purchase order based on the purchase order generated by the order, and then use the supplier's manufacturing execution system to manufacture products based on the process route and corresponding materials. It should be noted that the products displayed in the supply chain system can be parts, semi-finished products, and finished products. It should be noted that in this application, operations such as adding, modifying, and viewing the process route can be performed.

[0031] It should be further explained that the customer can submit a change application for the purchase order, and the changed purchase order will be executed after the manufacturing end accepts the change application.

[0032] At the same time, the manufacturing end can simultaneously send purchase orders to the quality cloud system. Therefore, during the product manufacturing process, the enterprise end can monitor products through the quality cloud system to ensure the quality of products supplied to the market.

[0033] It should be noted that the quality cloud system of the present application may include a statistical process control (SPC) module and a process quality control (PQC) module.

[0034] Among them, the statistical process control module is used to perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system. Specifically, the statistical process control module monitors various quality indicators in the production process in real time, promptly detects deviations and corrects them, thereby maintaining the stability of the production process and reducing the generation of defective products.

[0035] The process quality control module is used to perform process quality control inspection after the statistical process control inspection is passed. Specifically, the process quality control module analyzes and manages the quality data of each link in the production process to ensure the quality of each link and control the quality from the source.

[0036] In addition, the statistical process control module and process quality control module in the quality cloud system of this application are connected to the supplier's manufacturing execution system through standard interfaces. As a result, suppliers can effectively connect the supplier's manufacturing execution system with the enterprise-side quality cloud system, avoiding the data island phenomenon, realizing the automated circulation of production and quality control data, and improving the accuracy and timeliness of data.

[0037] Therefore, the quality cloud system in this application can obtain data collected during the product manufacturing process from the supplier's manufacturing execution system through the statistical process control module and the process quality control module.

[0038] More specifically, the quality cloud system can perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system through the statistical process control module.

[0039] Furthermore, a process quality control module may be used to perform a process quality control inspection after the statistical process control inspection is passed.

[0040] Furthermore, finished product inspection can be performed on products that have passed the process quality control inspection, and the products that have passed the finished product inspection and their inspection reports can be associated with purchase orders in the supply chain system.

[0041] This application introduces the quality cloud system to enable suppliers to collect and analyze key quality information in the production process in real time. The quality cloud system can obtain and process suppliers' process single-point quality data in real time, conduct accurate online quality analysis, and provide operation management functions. This enables suppliers to more efficiently and accurately control key quality links in the production process, discover potential quality problems in a timely manner and make adjustments, improve suppliers' ability to control quality, and ensure the stability of the production process and the consistency of product quality.

[0042] According to the industrial cluster platform based on supply chain collaboration in the embodiment of the present application, through the industrial cluster platform based on supply chain collaboration including the supplier manufacturing execution system, the quality cloud system and the supply chain system, a purchase order on the market side can be generated through the supply chain system, and then the product manufacturing can be carried out based on the purchase order through the supplier manufacturing execution system on the manufacturing side, and the product manufacturing process of the supplier manufacturing execution system can be subjected to statistical process control inspection through the enterprise side quality cloud system, and process quality control inspection can be carried out after the statistical process control inspection passes, and finished product inspection can be carried out on the obtained product after the process quality control inspection passes, and the products that pass the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system, thereby, by monitoring the supplier process quality on the manufacturing side in the supply chain through the enterprise side, the product quality supplied to the market side can be guaranteed, and the product consistency and customer satisfaction can be improved.

[0043] Based on the above embodiment, when the quality cloud system performs statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system, it specifically includes: Obtain statistical process control specifications, monitoring characteristics and statistical process control exception rules; statistical process control specifications are specifications used to ensure the stability and quality of the production process; exception rules are rules used to identify abnormal situations in the production process; Based on the monitoring characteristics, the product manufacturing process of the supplier's manufacturing execution system is used to obtain data to be tested; Based on statistical process control specifications and exception judgment rules, statistical process control inspection is performed on the data to be tested.

[0044] Specifically, in this application, the quality cloud system can obtain statistical process control specifications for ensuring the stability and quality of the production process, obtain monitoring characteristics, and obtain statistical process control exception rules, where the exception rules are rules for identifying abnormal situations in the production process. Monitoring characteristics refer to key quality parameters or characteristics that need to be monitored during the production process. These characteristics are usually key factors that affect product quality, such as process parameters such as temperature, pressure, speed, and product characteristics such as size, weight, and performance indicators.

[0045] It should be noted that when there is a supplier quality management system on the manufacturing side, both the supplier quality management system and the quality cloud system can store and maintain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules.

[0046] It should be noted that the supplier quality management system and the quality cloud system can also store and maintain defect specifications for determining whether a product has defects and exception handling rules for adjusting the product manufacturing process for abnormal products with defects.

[0047] The supplier quality management system and quality cloud system can also store and maintain sampling plans and finished product inspection specifications used to determine whether the finished products meet quality requirements to ensure the uniformity and standardization of the inspection process.

[0048] Among them, the exception handling rules may include warning rules and line stop rules. The warning rules may be provided with warning thresholds set according to actual needs, and the line stop rules may be provided with line stop thresholds set according to actual needs.

[0049] The statistical process control module and process quality control module in this application are also connected to the supplier's quality management system through standard interfaces.

[0050] Therefore, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules from the supplier's quality management system.

[0051] When there is no supplier quality management system on the manufacturing side, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules from its own system.

[0052] Therefore, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules through the statistical process control module.

[0053] Furthermore, according to the monitoring characteristics, the product manufacturing process of the supplier's manufacturing execution system can be used to obtain data to be tested through the statistical process control module. In this application, the quality cloud system uses production line information as the entry point, supports the real-time entry of SPC test data (i.e., the above-mentioned data to be tested), and at the same time, provides SPC report query functions generated by SPC historical test data (i.e., historical data to be tested) and real-time test data (i.e., real-time data to be tested), which is convenient for traceability and analysis.

[0054] Furthermore, statistical process control inspection can be performed on the data to be inspected according to statistical process control specifications and exception judgment rules.

[0055] Specifically, when SPC test data is entered and submitted, the quality cloud system can automatically perform abnormal judgment according to the SPC judgment rules and SPC specifications. If an SPC abnormality is determined, a PDCA (Plan-Do-Check-Act) abnormality record will be automatically generated to achieve rapid response and closed-loop management of problems. Specifically, PDCA can be performed for SPC abnormalities to solve SPC abnormalities in a timely manner through a continuous cycle of planning, execution, inspection and action.

[0056] In this application, the quality cloud system supports online storage and submission of PDCA reports, and completely archives all relevant data to form a traceable exception handling record.

[0057] In addition, SPC inspection data and PDCA exception records can be synchronized through interfaces, providing customers with real-time data sharing and quality transparency, and facilitating supply chain collaboration and quality management optimization.

[0058] As a result, the quality cloud system not only improves the accuracy of data management, but also strengthens the ability to respond to and handle quality issues in a timely manner, laying a solid foundation for efficient collaboration between customers and suppliers.

[0059] If it is determined that there is no SPC abnormality, it is determined that the statistical process control inspection has passed and subsequent process quality control inspection can be carried out.

[0060] This application can monitor the stability and predictability of the product manufacturing process by performing statistical process control inspections on the product manufacturing process of the supplier's manufacturing execution system to prevent the occurrence of quality defects, thereby ensuring the quality of products supplied to the market and improving product consistency and customer satisfaction.

[0061] Based on the above embodiment, after the statistical process control inspection is passed, a process quality control inspection is performed, including: Obtain defect specifications and exception handling rules; defect specifications are specifications used to determine whether a product has defects; exception handling rules are rules for adjusting the product manufacturing process for defective abnormal products; Conduct process quality control inspection based on defect specifications after passing statistical process control inspection; When it is determined through process quality control inspection that the number of abnormal products meets the abnormal indicators in the abnormal processing rules, the processing plan for the corresponding abnormal indicators in the abnormal processing rules is executed; the processing plan includes one of abnormal product maintenance and line shutdown processing.

[0062] Specifically, the present application can obtain defect specifications and exception handling rules from the supplier's quality management system or its own system through the process quality control module.

[0063] In the production management process of this application, the production line and production process route must be confirmed offline by the supplier and relevant parties, and then maintained by the supplier in the quality cloud system.

[0064] Furthermore, the quality cloud system can conduct process quality control inspections on each link in the production process according to the defect specifications after the statistical process control inspection is passed, so as to detect whether there are defective products (which can be called abnormal products or defective products later). When defective products are found, the defect data corresponding to the defective products are entered into the quality cloud system. The entry interface of defect data can include necessary information fields, such as output, customer material code, batch number, production line and specific process, to ensure the integrity and traceability of data records. For defective products found, they need to be repaired centrally and imported into the quality cloud system at one time after the unified report is compiled every day.

[0065] Furthermore, the Quality Cloud system will automatically calculate whether the number of abnormal products has reached the set defect threshold (including warning threshold and line stop threshold) based on the input defect data. When the number of abnormal products reaches the warning threshold (i.e. the abnormal indicator of the warning), the PDCA process for the abnormal products will be automatically started, and the defect data will be automatically included in the PDCA report, supporting users to follow up and close the process online.

[0066] When the number of abnormal products reaches the line stop threshold (i.e. the abnormal line stop index), the line stop operation can be triggered. Specifically, the supplier's manufacturing execution system can be directly controlled to stop the production line through software instructions, or the supplier's manufacturing execution system's production line stop instructions can be executed through hardware linkage to ensure that the problem is quickly contained.

[0067] In addition, the supplier's defect data, defective product repair data, and PDCA reports can all be synchronized to the supplier's quality management system through an interface, enabling seamless data sharing with the customer system. This not only enhances the ability to manage abnormal problems, but also improves the efficiency of production management and the ability to coordinate quality control through automated linkage and data transparency.

[0068] This application also adds an online code scanning link after the PQC inspection is completed. By scanning the code to enter information, the inspection data can be synchronized to the quality cloud system in real time. This method not only improves the efficiency of data entry, but also reduces the errors that may be caused by manual input, ensuring the integrity and accuracy of the system data. The code scanning entry mode further strengthens the data connection between the supplier and the quality cloud system, making the entire PQC inspection process more efficient and with the advantages of digital management.

[0069] This application can achieve quality monitoring and management of each link in the production process by conducting process quality control inspections, ensuring the quality of each link is qualified, thereby controlling quality from the source, ensuring the quality of products supplied to the market, and improving product consistency and customer satisfaction.

[0070] Based on the above embodiment, the finished product inspection is performed on the product that has passed the process quality control inspection, including: Obtain sampling plans and finished product inspection specifications; finished product inspection specifications are specifications used to determine whether finished products meet quality requirements; Sampling products that pass process quality control inspection based on the sampling plan; Conduct finished product inspection on sampled products based on finished product inspection specifications.

[0071] Specifically, the applicant may obtain the sampling plan and finished product inspection specifications from the supplier's quality management system or its own system.

[0072] Furthermore, samples can be taken from each product that has passed the process quality control inspection according to the sampling plan, and finished product inspection can be performed on the sampled products according to the finished product inspection specifications.

[0073] Specifically, during the finished product inspection process, the quality cloud system can retrieve the latest inspection standards (finished product inspection specifications) to guide operations based on the relationship between the finished product batch and the process quality control inspection batch. After the inspection is completed, fill in and submit the outgoing quality control (OQC) report. When submitting, the quality cloud system can automatically determine the inspection results based on the inspection standards. If it is determined to be unqualified, the PDCA (Plan, Do, Check, Improve) process will be automatically triggered, and the defective product review process will be started at the same time; in the defective product review, if the result requires rework and repair, a repair plan must be formulated and confirmed, and re-inspection must be performed after the repair is completed, and the original unqualified report must be associated with the re-inspected OQC report to ensure a closed information loop.

[0074] If the inspection result is judged to be qualified, the inspection result can be synchronized to the customer system through the interface, so that the customer can query the inspection report of the relevant batch. In addition, this application also has an expiration management mechanism, and the following scenarios will trigger automatic expiration of the data: the data exceeds the set validity period, the incoming material inspection is detected to be unqualified, or the supplier's quality management system transmits the expiration report information, and the report is set to be invalid through manual operation. In particular, when the incoming material inspection is judged to be unqualified and triggers automatic expiration, it is also necessary to start the defective product review process, and after the rework and repair is completed, the original unqualified report must be associated with the resubmitted re-inspection OQC report to ensure a complete quality control closed loop and data traceability.

[0075] At the same time, basic data such as materials, customer information and customer business units are also stored in the quality cloud system to support quality management and data interaction.

[0076] Furthermore, for products that have passed the finished product inspection, customers can also conduct on-site inspection through the supplier's manufacturing execution system. The inspection results will be synchronized to the quality cloud system and the purchase, sales and inventory cloud system, so that relevant parties can understand the inspection status in real time.

[0077] If the inspection result is qualified, the product can complete the outbound scanning operation in the purchase, sales and inventory cloud system and enter the supply chain process. Specifically, the products that have passed the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system.

[0078] In the supply chain system, when suppliers create delivery notes based on purchase orders, products and their inspection reports, they can choose to associate products that have passed random inspections and customer on-site inspections to ensure that all delivered products meet quality requirements and form a complete quality management closed loop.

[0079] For the approval data of unqualified products, on-site personnel need to fill in and submit relevant reports. If the report is found to be unqualified after review, the unqualified batch report will be associated with the corresponding delivery note in the supply chain system, and an invalid supplier batch report will be generated and submitted.

[0080] For non-conforming reports, the Quality Cloud System can also determine whether the product with the non-conforming report can be repaired based on the corresponding defect data and pre-set repair rules. If the product cannot be repaired, it will be processed according to the scrap process. If it is determined that the product can be repaired, the PDCA (Plan, Do, Check, Improve) process will be further initiated to ensure that the problem is rectified and the rectification effect is verified.

[0081] Specifically, after starting the PDCA process, a repair plan can be determined based on the defect data, and the repair plan can be further executed to repair the unqualified products. After executing the repair plan, the repaired products can be inspected, which can be achieved through inspection standards or other relevant methods. If the product is still unqualified after inspection, the repair plan is improved until the product repaired based on the improved repair plan is qualified.

[0082] If the number of unqualified products reaches a certain threshold, the product life cycle management shutdown mechanism will be triggered, and a comprehensive risk assessment will be conducted to assess the impact of non-conformity on the supply chain and production process to ensure that quality risks are controlled and handled in a timely manner. The entire process uses systematic management methods to strengthen the accuracy and traceability of supplier quality management, providing a strong guarantee for the achievement of customer quality requirements.

[0083] This application conducts finished product inspection after statistical process control inspection and process quality control inspection. SPC inspection, PQC inspection and finished product inspection cooperate with each other to form a complete quality control system to ensure the stability and consistency of product quality.

[0084] This application is based on an industrial cluster platform for supply chain collaboration, and focuses on online, systematized and intelligent data quality management. By integrating the supplier's process quality data online, real-time monitoring and analysis of product quality risks are carried out, and targeted quality management and guidance are carried out on this basis to effectively improve the supplier's product quality level. At the same time, through scientific data analysis and control methods, the quality management process is optimized, product defect losses are reduced, operating costs are reduced, and the company's profit margin is increased.

[0085] In addition, the industrial cluster platform based on supply chain collaboration can also integrate the purchase, sales and inventory management functions, including procurement management, sales management, inventory management and financial management modules, to achieve comprehensive management and control of business processes such as inventory, sales and procurement. Through this platform, enterprises can efficiently achieve collaborative operations in business links such as supply chain, inventory and finance, improve overall management efficiency and decision-making level, and meet the growing market user needs and quality requirements.

[0086] Figure 2 is a flow chart of an industrial cluster method based on supply chain collaboration provided by an embodiment of the present application, such as Figure 2 As shown in the figure, the industrial cluster method based on supply chain collaboration includes: Step 110: manufacturing products based on the purchase order.

[0087] Step 120, perform statistical process control inspection on the product manufacturing process, perform process quality control inspection after the statistical process control inspection is passed, perform finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

[0088] It should be noted that the industrial cluster method based on supply chain collaboration provided in the embodiment of the present application can be applied to the above-mentioned industrial cluster platform based on supply chain collaboration, thereby executing the industrial cluster method based on supply chain collaboration through the industrial cluster platform based on supply chain collaboration.

[0089] Specifically, this application clusters the supply chain system used to supply the market end, the quality cloud system as a system on the enterprise end, and the supplier manufacturing execution system as a system on the manufacturing end, to obtain an industrial cluster platform based on supply chain collaboration, thereby connecting the market end, manufacturing end and enterprise end, and building a quality control system throughout the entire supply chain.

[0090] As a result, not only the real-time monitoring and control capabilities of the entire value chain on supplier quality are improved, but also the transparency and traceability of data are enhanced, effectively improving the response speed and flexibility of the supply chain and avoiding quality risks caused by information lags or gaps.

[0091] Specifically, the supply chain system can be used to display products and provide market customers (such as distributors) with the opportunity to place orders. After placing an order, the manufacturing side will determine the process route for producing the products required for the purchase order based on the purchase order generated by the order, and then use the supplier's manufacturing execution system to manufacture products based on the process route and corresponding materials. It should be noted that the products displayed in the supply chain system can be parts, semi-finished products, and finished products. It should be noted that in this application, operations such as adding, modifying, and viewing the process route can be performed.

[0092] It should be further explained that the customer can submit a change application for the purchase order, and the changed purchase order will be executed after the manufacturing end accepts the change application.

[0093] At the same time, the manufacturing end can simultaneously send purchase orders to the quality cloud system. Therefore, during the product manufacturing process, the enterprise end can monitor products through the quality cloud system to ensure the quality of products supplied to the market.

[0094] In this application, the quality cloud system can obtain data collected during the product manufacturing process from the supplier's manufacturing execution system through the statistical process control module and the process quality control module.

[0095] The Quality Cloud System can perform statistical process control inspections on the product manufacturing process of the supplier's manufacturing execution system through the statistical process control module.

[0096] Specifically, in this application, the quality cloud system can obtain statistical process control specifications for ensuring the stability and quality of the production process, obtain monitoring characteristics, and obtain statistical process control exception rules, where the exception rules are rules for identifying abnormal situations in the production process. Monitoring characteristics refer to key quality parameters or characteristics that need to be monitored during the production process. These characteristics are usually key factors that affect product quality, such as process parameters such as temperature, pressure, speed, and product characteristics such as size, weight, and performance indicators.

[0097] It should be noted that when there is a supplier quality management system on the manufacturing side, both the supplier quality management system and the quality cloud system can store and maintain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules.

[0098] It should be noted that the supplier quality management system and the quality cloud system can also store and maintain defect specifications for determining whether a product has defects and exception handling rules for adjusting the product manufacturing process for abnormal products with defects.

[0099] The supplier quality management system and quality cloud system can also store and maintain sampling plans and finished product inspection specifications used to determine whether the finished products meet quality requirements to ensure the uniformity and standardization of the inspection process.

[0100] Among them, the exception handling rules may include warning rules and line stop rules. The warning rules may be provided with warning thresholds set according to actual needs, and the line stop rules may be provided with line stop thresholds set according to actual needs.

[0101] The statistical process control module and process quality control module in this application are also connected to the supplier's quality management system through standard interfaces.

[0102] Therefore, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules from the supplier's quality management system.

[0103] When there is no supplier quality management system on the manufacturing side, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules from its own system.

[0104] Therefore, the quality cloud system can obtain statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules through the statistical process control module.

[0105] Furthermore, according to the monitoring characteristics, the product manufacturing process of the supplier's manufacturing execution system can be used to obtain data to be tested through the statistical process control module. In this application, the quality cloud system uses production line information as the entry point, supports the real-time entry of SPC test data (i.e., the above-mentioned data to be tested), and at the same time, provides SPC report query functions generated by SPC historical test data (i.e., historical data to be tested) and real-time test data (i.e., real-time data to be tested), which is convenient for traceability and analysis.

[0106] Furthermore, statistical process control inspection can be performed on the data to be inspected according to statistical process control specifications and exception judgment rules.

[0107] Specifically, when SPC test data is entered and submitted, the quality cloud system can automatically perform abnormal judgment according to the SPC judgment rules and SPC specifications. If an SPC abnormality is determined, a PDCA (Plan-Do-Check-Act) abnormality record will be automatically generated to achieve rapid response and closed-loop management of problems. Specifically, PDCA can be performed for SPC abnormalities to solve SPC abnormalities in a timely manner through a continuous cycle of planning, execution, inspection and action.

[0108] In this application, the quality cloud system supports online storage and submission of PDCA reports, and completely archives all relevant data to form a traceable exception handling record.

[0109] In addition, SPC inspection data and PDCA exception records can be synchronized through interfaces, providing customers with real-time data sharing and quality transparency, and facilitating supply chain collaboration and quality management optimization.

[0110] As a result, the quality cloud system not only improves the accuracy of data management, but also strengthens the ability to respond to and handle quality issues in a timely manner, laying a solid foundation for efficient collaboration between customers and suppliers.

[0111] If it is determined that there is no SPC abnormality, it is determined that the statistical process control inspection has passed and subsequent process quality control inspection can be carried out.

[0112] This application can monitor the stability and predictability of the product manufacturing process by performing statistical process control inspections on the product manufacturing process of the supplier's manufacturing execution system to prevent the occurrence of quality defects, thereby ensuring the quality of products supplied to the market and improving product consistency and customer satisfaction.

[0113] Furthermore, a process quality control module may be used to perform a process quality control inspection after the statistical process control inspection is passed.

[0114] Specifically, the present application can obtain defect specifications and exception handling rules from the supplier's quality management system or its own system through the process quality control module.

[0115] In the production management process of this application, the production line and production process route must be confirmed offline by the supplier and relevant parties, and then maintained by the supplier in the quality cloud system.

[0116] Furthermore, the quality cloud system can conduct process quality control inspections on each link in the production process according to the defect specifications after the statistical process control inspection is passed, so as to detect whether there are defective products (which can be called abnormal products or defective products later). When defective products are found, the defect data corresponding to the defective products are entered into the quality cloud system. The entry interface of defect data can include necessary information fields, such as output, customer material code, batch number, production line and specific process, to ensure the integrity and traceability of data records. For defective products found, they need to be repaired centrally and imported into the quality cloud system at one time after the unified report is compiled every day.

[0117] Furthermore, the Quality Cloud system will automatically calculate whether the number of abnormal products has reached the set defect threshold (including warning threshold and line stop threshold) based on the input defect data. When the number of abnormal products reaches the warning threshold (i.e. the abnormal indicator of the warning), the PDCA process for the abnormal products will be automatically started, and the defect data will be automatically included in the PDCA report, supporting users to follow up and close the process online.

[0118] When the number of abnormal products reaches the line stop threshold (i.e. the abnormal line stop index), the line stop operation can be triggered. Specifically, the supplier's manufacturing execution system can be directly controlled to stop the production line through software instructions, or the supplier's manufacturing execution system's production line stop instructions can be executed through hardware linkage to ensure that the problem is quickly contained.

[0119] In addition, the supplier's defect data, defective product repair data, and PDCA reports can all be synchronized to the supplier's quality management system through an interface, enabling seamless data sharing with the customer system. This not only enhances the ability to manage abnormal problems, but also improves the efficiency of production management and the ability to coordinate quality control through automated linkage and data transparency.

[0120] This application also adds an online code scanning link after the PQC inspection is completed. By scanning the code to enter information, the inspection data can be synchronized to the quality cloud system in real time. This method not only improves the efficiency of data entry, but also reduces the errors that may be caused by manual input, ensuring the integrity and accuracy of the system data. The code scanning entry mode further strengthens the data connection between the supplier and the quality cloud system, making the entire PQC inspection process more efficient and with the advantages of digital management.

[0121] This application can achieve quality monitoring and management of each link in the production process by conducting process quality control inspections, ensuring the quality of each link is qualified, thereby controlling quality from the source, ensuring the quality of products supplied to the market, and improving product consistency and customer satisfaction.

[0122] Furthermore, finished product inspection can be performed on products that have passed the process quality control inspection, and the products that have passed the finished product inspection and their inspection reports can be associated with purchase orders in the supply chain system.

[0123] Specifically, the applicant may obtain the sampling plan and finished product inspection specifications from the supplier's quality management system or its own system.

[0124] Furthermore, samples can be taken from each product that has passed the process quality control inspection according to the sampling plan, and finished product inspection can be performed on the sampled products according to the finished product inspection specifications.

[0125] Specifically, during the finished product inspection process, the quality cloud system can retrieve the latest inspection standards (finished product inspection specifications) to guide operations based on the relationship between the finished product batch and the process quality control inspection batch. After the inspection is completed, fill in and submit the outgoing quality control (OQC) report. When submitting, the quality cloud system can automatically determine the inspection results based on the inspection standards. If it is determined to be unqualified, the PDCA (Plan, Do, Check, Improve) process will be automatically triggered, and the defective product review process will be started at the same time; in the defective product review, if the result requires rework and repair, a repair plan must be formulated and confirmed, and re-inspection must be performed after the repair is completed, and the original unqualified report must be associated with the re-inspected OQC report to ensure a closed information loop.

[0126] If the inspection result is judged to be qualified, the inspection result can be synchronized to the customer system through the interface, so that the customer can query the inspection report of the relevant batch. In addition, this application also has an expiration management mechanism, and the following scenarios will trigger automatic expiration of the data: the data exceeds the set validity period, the incoming material inspection is detected to be unqualified, or the supplier's quality management system transmits the expiration report information, and the report is set to be invalid through manual operation. In particular, when the incoming material inspection is judged to be unqualified and triggers automatic expiration, it is also necessary to start the defective product review process, and after the rework and repair is completed, the original unqualified report must be associated with the resubmitted re-inspection OQC report to ensure a complete quality control closed loop and data traceability.

[0127] At the same time, basic data such as materials, customer information and customer business units are also stored in the quality cloud system to support quality management and data interaction.

[0128] Furthermore, for products that have passed the finished product inspection, customers can also conduct on-site inspection through the supplier's manufacturing execution system. The inspection results will be synchronized to the quality cloud system and the purchase, sales and inventory cloud system, so that relevant parties can understand the inspection status in real time.

[0129] If the inspection result is qualified, the product can complete the outbound scanning operation in the purchase, sales and inventory cloud system and enter the supply chain process. Specifically, the products that have passed the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system.

[0130] In the supply chain system, when suppliers create delivery notes based on purchase orders, products and their inspection reports, they can choose to associate products that have passed random inspections and customer on-site inspections to ensure that all delivered products meet quality requirements and form a complete quality management closed loop.

[0131] For the approval data of unqualified products, on-site personnel need to fill in and submit relevant reports. If the report is found to be unqualified after review, the unqualified batch report will be associated with the corresponding delivery note in the supply chain system, and an invalid supplier batch report will be generated and submitted.

[0132] For non-conforming reports, the Quality Cloud System can also determine whether the product with the non-conforming report can be repaired based on the corresponding defect data and pre-set repair rules. If the product cannot be repaired, it will be processed according to the scrap process. If it is determined that the product can be repaired, the PDCA (Plan, Do, Check, Improve) process will be further initiated to ensure that the problem is rectified and the rectification effect is verified.

[0133] Specifically, after starting the PDCA process, a repair plan can be determined based on the defect data, and the repair plan can be further executed to repair the unqualified products. After executing the repair plan, the repaired products can be inspected, which can be achieved through inspection standards or other relevant methods. If the product is still unqualified after inspection, the repair plan is improved until the product repaired based on the improved repair plan is qualified.

[0134] If the number of unqualified products reaches a certain threshold, the product life cycle management shutdown mechanism will be triggered, and a comprehensive risk assessment will be conducted to assess the impact of non-conformity on the supply chain and production process to ensure that quality risks are controlled and handled in a timely manner. The entire process uses systematic management methods to strengthen the accuracy and traceability of supplier quality management, providing a strong guarantee for the achievement of customer quality requirements.

[0135] This application conducts finished product inspection after statistical process control inspection and process quality control inspection. SPC inspection, PQC inspection and finished product inspection cooperate with each other to form a complete quality control system to ensure the stability and consistency of product quality.

[0136] This application introduces the quality cloud system to enable suppliers to collect and analyze key quality information in the production process in real time. The quality cloud system can obtain and process suppliers' process single-point quality data in real time, conduct accurate online quality analysis, and provide operation management functions. This enables suppliers to more efficiently and accurately control key quality links in the production process, discover potential quality problems in a timely manner and make adjustments, improve suppliers' ability to control quality, and ensure the stability of the production process and the consistency of product quality.

[0137] According to the industrial cluster method based on supply chain collaboration of the embodiment of the present application, through the industrial cluster platform based on supply chain collaboration including the supplier manufacturing execution system, the quality cloud system and the supply chain system, a purchase order on the market side can be generated through the supply chain system, and then the product manufacturing can be carried out based on the purchase order through the supplier manufacturing execution system on the manufacturing side, and the product manufacturing process of the supplier manufacturing execution system can be subjected to statistical process control inspection through the enterprise side quality cloud system, and process quality control inspection can be carried out after the statistical process control inspection passes, and finished product inspection can be carried out on the obtained product after the process quality control inspection passes, and the products that pass the finished product inspection and their inspection reports can be associated with the purchase order of the supply chain system, thereby, by monitoring the supplier process quality on the manufacturing side in the supply chain through the enterprise side, the product quality supplied to the market side can be guaranteed, and the product consistency and customer satisfaction can be improved.

[0138] Figure 3 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 3 As shown, the electronic device includes: a processor 310, a communication interface 320, a memory 330 and a communication bus 340, wherein the processor 310, the communication interface 320 and the memory 330 communicate with each other through the communication bus 340. The processor 310 can call the logic instructions in the memory 330 to execute the following method: manufacturing products based on a purchase order; Conduct statistical process control inspection on the product manufacturing process, conduct process quality control inspection after the statistical process control inspection is passed, conduct finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

[0139] In addition, the logic instructions in the above-mentioned memory 330 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present application can be essentially or partly embodied in the form of a software product that contributes to the relevant technology. The computer software product is stored in a storage medium, including several instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0140] In another aspect, an embodiment of the present application further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the methods provided in the above embodiments, for example, including: manufacturing a product based on a purchase order; Conduct statistical process control inspection on the product manufacturing process, conduct process quality control inspection after the statistical process control inspection is passed, conduct finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

[0141] In another aspect, the embodiments of the present application further provide a program product having a computer program stored thereon, which is implemented when the computer program is executed by a processor to perform the methods provided in the above embodiments, for example, including: manufacturing a product based on a purchase order; Conduct statistical process control inspection on the product manufacturing process, conduct process quality control inspection after the statistical process control inspection is passed, conduct finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

[0142] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0143] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the relevant technology can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiment.

[0144] Finally, it should be noted that the above implementation modes are only used to illustrate the present application, rather than to limit the present application. Although the present application is described in detail with reference to the embodiments, a person skilled in the art should understand that various combinations, modifications or equivalent substitutions of the technical solutions of the present application do not depart from the spirit and scope of the technical solutions of the present application.

Claims

1. An industrial cluster platform based on supply chain collaboration, characterized by: It includes a supplier manufacturing execution system, a quality cloud system and a supply chain system; the supplier manufacturing execution system is a system at the manufacturing end; the quality cloud system is a system at the enterprise end; the supply chain system is used to supply the market end; The supply chain system is used to generate a purchase order; The supplier manufacturing execution system is used to manufacture products based on the purchase order; The quality cloud system is used to perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system, perform process quality control inspection after the statistical process control inspection is passed, perform finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order of the supply chain system.

2. The industrial cluster platform based on supply chain collaboration according to claim 1 is characterized in that: The statistical process control inspection of the product manufacturing process of the supplier manufacturing execution system includes: Obtaining statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules; the statistical process control specifications are specifications for ensuring the stability and quality of the production process; the exception judgment rules are rules for identifying abnormal situations in the production process; Acquiring data to be tested from the product manufacturing process of the supplier manufacturing execution system based on the monitoring characteristics; Based on the statistical process control specification and the exception judgment rule, a statistical process control test is performed on the data to be tested.

3. The industrial cluster platform based on supply chain collaboration according to claim 2 is characterized in that: The statistical process control specifications, monitoring characteristics and statistical process control exception judgment rules are obtained from the quality cloud system or the supplier quality management system.

4. The industrial cluster platform based on supply chain collaboration according to claim 1 is characterized in that: The process quality control inspection is performed after the statistical process control inspection is passed, including: Obtaining defect specifications and exception handling rules; the defect specifications are specifications for determining whether a product has defects; the exception handling rules are rules for adjusting the product manufacturing process for defective abnormal products; Performing process quality control inspection based on the defect specification after the statistical process control inspection passes; When it is determined through process quality control inspection that the number of abnormal products meets the abnormal indicators in the abnormal processing rules, the processing plan for the corresponding abnormal indicators in the abnormal processing rules is executed; the processing plan includes one of abnormal product maintenance and line shutdown processing.

5. The industrial cluster platform based on supply chain collaboration according to claim 1 is characterized in that: The finished product inspection of the products that have passed the process quality control inspection includes: Obtaining a sampling plan and finished product inspection specifications; the finished product inspection specifications are specifications used to determine whether the finished product meets quality requirements; Sampling the products that pass the process quality control inspection based on the sampling plan; Conduct finished product inspection on the sampled products based on the finished product inspection specifications.

6. The industrial cluster platform based on supply chain collaboration according to claim 1 is characterized in that: The quality cloud system includes a statistical process control module and a process quality control module. The statistical process control module is used to perform statistical process control inspection on the product manufacturing process of the supplier's manufacturing execution system, and the process quality control module is used to perform process quality control inspection after the statistical process control inspection passes; the statistical process control module and the process quality control module are respectively connected to the supplier's manufacturing execution system through standard interfaces.

7. An industrial cluster method based on supply chain collaboration applied to the industrial cluster platform based on supply chain collaboration as described in any one of claims 1 to 6, characterized in that: include: Manufacturing products based on purchase orders; Conduct statistical process control inspection on the product manufacturing process, conduct process quality control inspection after the statistical process control inspection is passed, conduct finished product inspection on the products that pass the process quality control inspection, and associate the products that pass the finished product inspection and their inspection reports with the purchase order.

8. A device, the device being an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the industrial cluster method based on supply chain collaboration as described in claim 7 is implemented.

9. A medium, the medium being a non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that: When the computer program is executed by a processor, the industrial cluster method based on supply chain collaboration as described in claim 7 is implemented.

10. A program product comprising a computer program, characterized in that When the computer program is executed by a processor, the industrial cluster method based on supply chain collaboration described in claim 7 is implemented.

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