Equipment procurement supply chain quality control systems, methods, electronic equipment and media

Abstract

This invention discloses a quality control system, method, electronic device, and medium for equipment procurement supply chain. The equipment procurement supply chain quality control method includes: constructing an index system for an equipment procurement supply chain quality analysis model, wherein the index system includes a technical process quality improvement cost coefficient and an information transmission level coefficient; analyzing the implementation effect of different quality cost allocation parameters through the technical process quality improvement cost coefficient to obtain a first analysis result; analyzing the quality control level under different control methods through the information transmission level coefficient to obtain a second analysis result; and controlling the quality of the equipment procurement supply chain based on the first and second analysis results. This equipment procurement supply chain quality control method solves the problem of the inability to reasonably control the quality of the equipment procurement supply chain in the prior art.

Description

Technical Field

[0001] This invention relates to the field of equipment procurement supply chain technology, specifically to an equipment procurement supply chain quality control system, method, electronic equipment, and medium. Background Technology

[0002] Quality cost is the sum of expenses incurred to ensure quality that satisfies consumers and losses incurred due to failure to achieve satisfactory quality. Quality cost is divided into prevention cost, appraisal cost, internal failure cost and external failure cost. Prevention cost and appraisal cost are also known as controllable cost, and the sum of internal failure cost and external failure cost is called failure cost.

[0003] Product quality costs are not as clearly defined as those of industrial products. Many potential factors that could lead to quality problems cannot be clearly attributed to any party, and the increased quality investment required to solve these problems also cannot be clearly attributed to any party. Therefore, there is an urgent need for a quality control method for the equipment procurement supply chain. Summary of the Invention

[0004] The purpose of this invention is to provide a quality control system, method, electronic device, and medium for the equipment procurement supply chain, in order to solve the problem that the quality of the equipment procurement supply chain cannot be reasonably controlled in the prior art.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for quality control in the equipment procurement supply chain, the method specifically comprising:

[0006] An indicator system for constructing a quality analysis model of the equipment procurement supply chain is established, wherein the indicator system includes a cost coefficient for improving technical process quality and an information transmission level coefficient.

[0007] The first analysis result is obtained by analyzing the implementation effect of different quality cost allocation parameters through the cost coefficient analysis of technical process quality improvement.

[0008] The second analysis result is obtained by analyzing the quality control level under different control methods through information transmission level coefficient analysis.

[0009] Control the quality of the equipment procurement supply chain based on the first and second analysis results.

[0010] Based on the above technical solution, the present invention can be further improved as follows:

[0011] Furthermore, by analyzing the cost coefficient of technological process quality improvement and the implementation effect of different quality cost allocation parameters, the first analysis results are obtained, including:

[0012] The number of qualified products during the research and development process is calculated using Formula 1.

[0013] Q2=Q1*[θ MilManuExp *MilManuEexp+θ InnoDific *(1-InnoDific)+θ Teclner *TecIncr+θ InforShare *e InforShare ] Formula 1;

[0014] In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level.

[0015] The cost level of improving technical quality is calculated using Formula 2.

[0016]

[0017] In the formula, TecIncr represents the level of technological and process quality improvement, TecIncrCost represents the cost coefficient for technological and quality improvement, and β represents the quality cost allocation parameter for the assembly manufacturer.

[0018] Furthermore, by analyzing the quality control level under different control methods using information transmission level coefficients, a second analysis result was obtained, including:

[0019] The number of qualified products during the research and development process is calculated using Formula 3.

[0020]

[0021] In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level.

[0022] The quality control level of the development process of the quality control strategy for triggering information transmission relationship contracts is calculated using Formula 3.

[0023]

[0024] In the formula, Q S2 Q represents the quality control level of the development process that triggers the quality control strategy for information transmission relationship contracts. S1 ` is the quality control level of the procurement process that triggers the quality control strategy of information transmission relationship contract; MilManuExp is the product manufacturing experience; InnoDific is the product innovation difficulty level; InforShare is the information sharing level; and TecIncr is the technical process quality improvement level.`

[0025] Calculate the information sharing level using Formula 5;

[0026] InforShare=InforShareLevel*(1+InitialValue)InitialValue Formula 5;

[0027] In the formula, InforShare represents the information sharing level, Initialvalue represents the initial decision value, and Initialvalue = 0;

[0028] The level of improvement in technological process quality is calculated using Formula 6.

[0029]

[0030] In the formula, TecIncr represents the level of improvement in technical process quality, and TecIncrCost represents the cost coefficient for improving technical quality.

[0031] Furthermore, based on the first and second analysis results, controlling the quality of the equipment procurement supply chain includes:

[0032] When the cost coefficient for improving the quality of technology and processes is 0.10, increasing the proportion of quality cost allocation for assembly manufacturers will improve the quality control level of the equipment procurement supply chain.

[0033] Furthermore, controlling the quality of the equipment procurement supply chain based on the first analysis result and the second analysis result includes:

[0034] As the information transmission level coefficient increases, the quality control level of the equipment procurement supply chain will be strengthened.

[0035] A quality control system for equipment procurement supply chain, comprising:

[0036] The module is used to construct the indicator system of the equipment procurement supply chain quality analysis model, wherein the indicator system includes the cost coefficient for improving technical process quality and the information transmission level coefficient.

[0037] The first analysis module is used to analyze the implementation effect of different quality cost allocation parameters through the cost coefficient of improving the quality of technology and process, and to obtain the first analysis result;

[0038] The second analysis module is used to analyze the quality control level under different control methods through information transmission level coefficients, and obtain the second analysis results.

[0039] The control module is used to control the quality of the equipment procurement supply chain based on the first analysis result and the second analysis result.

[0040] Furthermore, the cost coefficients for improving the quality of the technology and process include 0.10, 0.15, and 0.20, and the quality cost allocation parameters include 10%, 30%, and 50%.

[0041] Furthermore, the information transmission level coefficients include 0.2, 0.4, and 0.6.

[0042] An electronic device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the steps of the method described herein.

[0043] A non-transitory computer-readable medium having a computer program stored thereon, which, when executed by a processor, implements the steps of the method.

[0044] The embodiments of the present invention have the following advantages:

[0045] This invention discloses a quality control method for the equipment procurement supply chain, which constructs an indicator system for the quality analysis model of the equipment procurement supply chain. This indicator system includes a cost coefficient for improving technical and process quality and an information transmission level coefficient. The method analyzes the implementation effect of different quality cost allocation parameters using the cost coefficient for improving technical and process quality to obtain a first analysis result. It then analyzes the quality control level under different control methods using the information transmission level coefficient to obtain a second analysis result. Based on the first and second analysis results, the method controls the quality of the equipment procurement supply chain, solving the problem of the inability to reasonably control the quality of the equipment procurement supply chain in existing technologies. Attached Figure Description

[0046] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0047] The structures, proportions, sizes, etc. illustrated in this specification are only for the purpose of assisting those skilled in the art in understanding and reading the content disclosed herein, and are not intended to limit the conditions under which the present invention can be implemented. Therefore, they have no substantial technical significance. Any modifications to the structure, changes in the proportions, or adjustments to the size, without affecting the effects and objectives that the present invention can produce, should still fall within the scope of the technical content disclosed in the present invention.

[0048] Figure 1 This is a flowchart of the equipment procurement supply chain quality control method of the present invention;

[0049] Figure 2 This is an architecture diagram of the equipment procurement supply chain quality control system of the present invention;

[0050] Figure 3 This is a schematic diagram illustrating the quality control level when the cost coefficient for improving the quality of the technology process of this invention is 0.10.

[0051] Figure 4 This is a schematic diagram illustrating the quality control level under the condition that the cost coefficient for improving the quality of the technology and process of this invention is 0.15.

[0052] Figure 5 This is a schematic diagram illustrating the quality control level when the cost coefficient for improving the quality of the technology process of this invention is 0.20.

[0053] Figure 6 This is a schematic diagram illustrating the quality control levels under different control methods of the present invention;

[0054] Figure 7 This is a schematic diagram of the physical structure of the electronic device provided by the present invention.

[0055] The accompanying drawings are marked as follows:

[0056] The system includes a construction module 10, a first analysis module 20, a second analysis module 30, a control module 40, an electronic device 50, a processor 501, a memory 502, and a bus 503. Detailed Implementation

[0057] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0058] Example

[0059] Figure 1 This is a flowchart illustrating an embodiment of the equipment procurement supply chain quality control method of the present invention, as shown below. Figure 1 As shown, an equipment procurement supply chain quality control method provided by an embodiment of the present invention includes the following steps:

[0060] S101, Construct an indicator system for the quality analysis model of the equipment procurement supply chain, which includes the cost coefficient for improving technical process quality and the information transmission level coefficient.

[0061] Specifically, analysis through the supply chain quality control model shows that product quality is mainly determined by the number of qualified purchased parts, the cost coefficient for improving technical process quality, the level of technical process quality improvement, product manufacturing experience, the level of product innovation difficulty, the level of information sharing, and the level of quality control in the research and development process. Among these factors, the improvement of technical process quality is mainly determined by the cost coefficient for improving technical process quality.

[0062] The portion of the cost coefficient β borne by the equipment purchaser for improving technological processes and quality determines the upstream manufacturer's decision on the level of technological process and quality improvement. In other words, the larger the portion β of the cost coefficient for improving technological processes and quality, the lower the cost for the upstream manufacturer to improve the unit level of technological process and quality. Furthermore, the improved product quality gives the product higher value, allowing for a higher price per unit, thus increasing the upstream manufacturer's sales revenue. For the equipment purchaser, a larger portion β of the cost coefficient for improving technological processes and quality means greater additional costs, but the improved technological process and quality significantly extends the product's lifespan and reduces costs associated with maintenance, returns, and replacements. Therefore, by assuming an appropriate portion β of the cost coefficient for improving technological processes and quality, the equipment purchaser can promote improved product quality from upstream manufacturers, achieving a win-win situation.

[0063] Quality cost allocation methods can constrain and incentivize assembly suppliers to improve technical process quality, thereby controlling the quality level of the product development process. However, when using cost allocation methods to incentivize assembly suppliers, can better results be achieved? Can the optimal cost allocation coefficient be simultaneously determined under different technical process improvement cost coefficients? This section will establish a quality cost allocation method coordination model to study these questions.

[0064] S102, by analyzing the implementation effect of different quality cost allocation parameters through the cost coefficient analysis of technical process quality improvement, the first analysis result is obtained;

[0065] Specifically, whether equipment manufacturers have improved the technical and process quality of the development process can be directly observed by the equipment purchaser through information such as the quality control level of the development process and the number of qualified products. However, due to the high requirements and transparency of information from the equipment purchaser in the equipment procurement supply chain, the level of technical and process quality improvement and the cost coefficient of technical and quality improvement by the equipment manufacturer are not proprietary information of the equipment manufacturer. For the equipment purchaser, as the leader of the supply chain, they can choose to share the quality costs to help the equipment manufacturer further improve the quality level of the development process. If no sharing is chosen, the specified quality sharing ratio is β = 0; if sharing is chosen, the specified quality sharing ratio is β (0 < β < 1). The equation design is as follows:

[0066] The number of qualified products during the research and development process is calculated using Formula 1.

[0067] Q2=Q1*[θ MilManuExp *MilManuEexp+θ InnoDific *(1-InnoDific)+θ TecIncr *TecIncr+θ InforShare *e InforShare ] Formula 1;

[0068] In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level.

[0069] The cost level of improving technical quality is calculated using Formula 2.

[0070]

[0071] In the formula, TecIncr represents the level of technological and process quality improvement, TecIncrCost represents the cost coefficient for technological and quality improvement, and β represents the quality cost allocation parameter for the assembly manufacturer.

[0072] When the cost coefficient for technological process improvement by equipment manufacturers is set with different parameters, different costs are required to achieve the corresponding level of technological process quality improvement. A higher cost coefficient for technological process improvement corresponds to a lower level of technological process quality improvement: when the product innovation difficulty level lnnoDific is 0.10, 0.15, and 0.20 respectively. Table 1 shows the basic simulation settings for the equipment purchaser to implement the quality cost allocation method, and the contract decision parameters for the quality cost allocation of the equipment purchaser under different technological process improvement cost coefficients of the assembly manufacturer:

[0073]

[0074] Table 1

[0075] When the assembly manufacturer reaches a consensus with the equipment purchaser through negotiations, if the cost coefficient for improving technical process quality is 0.10, 0.15, or 0.20, the quantity pass rate is compared between the equipment purchaser not using the quality cost method and using the quality improvement cost allocation method, thus obtaining the quality control effect based on the quality cost allocation method.

[0076] Figure 2 When the cost coefficient for improving the quality of technology and processes is equal to 0.10, the different quality cost allocation schemes, i.e., the different methods of control implementation under different β decisions, are determined by... Figure 3As shown in Table 1, the quantity pass rate changes when the assembly manufacturer's quality cost allocation ratio β is 0%, 10%, 30%, and 50%. Figure 4 When the cost coefficient for improving technical process quality is equal to 0.10, the simulation results show that, regardless of the scheme, the quantity qualification rate is better than that of the equipment supplier / manufacturer under the initial investment state. The reason can be explained by the changes in product qualification rate in the table: when the cost coefficient for improving technical process quality is small, the cost of improving technical process quality is relatively small. At this time, the equipment purchaser's proactive allocation of quality costs has a significant incentive effect on the quality control level during the development process. (Combined with Table 2 and...) Figure 3 It can be seen that the growth function of the initial allocation state is lower than that of the growth function under the allocation control method. In other words, when the cost coefficient for technological improvement is small, the equipment purchaser generates considerable benefits for quality control in the development process by bearing the cost of quality improvement. At the same time, as the allocation coefficient increases, the increase in the pass rate increases significantly first.

[0077]

[0078] Table 2

[0079] Figure 4 When the cost coefficient for improving technical process quality is equal to 0.15, simulation results show that the incentive effect provided by the cost allocation method is limited. This is because as the cost coefficient increases, the motivation for assembly suppliers to actively improve the level of technical process quality decreases, the cost of quality improvement increases, and the incentive effect of the cost allocation method also decreases. (See Table 3 and...) Figure 4 It can be seen that although the quality cost allocation method is better than not using the allocation method, the marginal effect decreases as the allocation coefficient increases. In other words, when the cost coefficient for improving technology and processes is moderate, the equipment purchaser has to bear a certain cost of quality improvement before the quality control benefits of the development process are limited. Therefore, when the cost coefficient for improving technology and processes is equal to 0.15, the cost allocation and the benefits of quality control need to be carefully weighed.

[0080]

[0081] Table 3

[0082] When the cost coefficient for improving the quality of technology and processes is equal to 0.20, combined with Table 4 and Figure 5 It can be seen that the growth function of the product qualification rate under the initial allocation state is basically consistent with that of the product using the allocation control method. In other words, the equipment purchaser may bear the cost of quality improvement but have almost no benefit to the quality control of the development process. Therefore, the equipment purchaser should not adopt the quality cost allocation control method.

[0083]

[0084]

[0085] Table 4

[0086] S103, by analyzing the quality control level under different control methods through information transmission level coefficient, the second analysis result is obtained;

[0087] Specifically, in the flow diagram of the information transmission relationship contract quality control system, Q... S Q represents the effectiveness of supply chain system quality control. S1 Q S2 Q S3 Q S4 Q S5 The parameters represent the quality control levels during the procurement, development, production / assembly, and usage processes that trigger the information transmission relationship contract quality control strategy. A relationship contract switch variable controls whether the information transmission relationship contract is followed. A relationship contract switch of 0 indicates that the quality control level is above a set threshold q, and the relationship contract is not triggered. A relationship contract switch of 1 indicates that the control level is below the expected level, and the equipment purchaser actively triggers the relationship contract and follows up with information sharing. The corresponding function design is as follows:

[0088] The number of qualified products during the research and development process is calculated using Formula 3.

[0089]

[0090] In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level.

[0091] The quality control level of the development process of the quality control strategy for triggering information transmission relationship contracts is calculated using Formula 3.

[0092]

[0093] In the formula, Q S2 Q represents the quality control level of the development process that triggers the quality control strategy for information transmission relationship contracts. S1 It refers to the quality control level of the procurement process that triggers the quality control strategy of information transmission relationship contract; MilManuExp is the product manufacturing experience; InnoDific is the product innovation difficulty level; InforShare is the information sharing level; and TecIncr is the technical process quality improvement level.

[0094] Calculate the information sharing level using Formula 5;

[0095] InforShare=InforShareLevel*(1+InitialValue)InitialValue Formula 5;

[0096] In the formula, InforShare represents the information sharing level, Initialvalue represents the initial decision value, and Initialvalue = 0;

[0097] The level of improvement in technological process quality is calculated using Formula 6.

[0098]

[0099] In the formula, TecIncr represents the level of improvement in technical process quality, and TecIncrCost represents the cost coefficient for improving technical quality.

[0100] Equipment purchasers sign information transfer relationship contracts to encourage equipment manufacturers to invest in research and development, innovation, and improve technological levels. Through quality information sharing, purchasers strive to enhance their respective quality efforts. However, determining the optimal information sharing level coefficient is crucial for simultaneously improving overall system performance and distributing benefits among all parties. This study uses simulation analysis of the product quality level, supply chain members, and overall system quality control effectiveness under the relationship contract information transfer decision-making scheme to draw valuable conclusions. Table 5 shows the basic simulation settings for equipment purchasers implementing the information transfer relationship contract method.

[0101]

[0102] Table 5

[0103] Depend on Figure 6 It can be seen that when the equipment purchaser adopts relational contract information transmission control, regardless of whether the manufacturer complies with the constraint provisions to return a portion of its profits to the component supplier, and regardless of the value of the information sharing level coefficient for the equipment purchaser's decision-making, the production quality, sales quality, and final product quality of the products are all higher than when the relational contract information transmission control method is not adopted.

[0104] Figure 6The data shows that when the information sharing ratio c is 0, Contract 0 indicates that the equipment purchaser completely avoids the leakage of quality information. When information transmission method 1 is implemented, the manufacturer's total quality improvement effort is minimized under various contractual decision scenarios, while the supplier's total quality improvement effort is maximized. This is because, in order to obtain short-term profits, manufacturers minimize their efforts to improve the quality of production, assembly, and operation and maintenance under relatively ambiguous quality information and standards. This may be counterproductive for manufacturers. Regardless of how much assembly quality effort is improved, the risk of contract cancellation and reputational damage caused by the decline in component quality will also harm the manufacturer's interests. At the same time, excessively high monthly investment will also lead to higher after-sales service costs, which will also reduce the manufacturer's profits. Therefore, from the perspective of long-term interests, manufacturers will choose to abide by the contract.

[0105] Combination Figure 6 As shown in Table 6, when implementing information sharing methods 2 and 3, the quality control effect significantly exceeded that of the initial decision-making in the later stages of the experiment. Furthermore, the supply chain quality control effect also showed an upward trend as the information sharing level coefficient increased. This is because the equipment purchaser continuously improved the level of information sharing during equipment use. On the one hand, equipment manufacturers can more effectively innovate products, improve processes, and rationally allocate R&D and production resources; on the other hand, the improvement in product R&D and production levels also enhances the equipment manufacturer's bargaining power with upstream component suppliers, thereby improving its supplier management level. In conclusion, equipment purchasers should sign reasonable contracts and appropriately increase the intensity of information sharing according to actual needs, so that all supply chain members increase their efforts to improve quality, thereby effectively improving the overall quality control level of the supply chain.

[0106]

[0107]

[0108] Table 6

[0109] S104, control the quality of the equipment procurement supply chain based on the results of the first and second analyses.

[0110] Specifically, when the cost coefficient for improving the quality of technology and processes is 0.10, increasing the proportion of quality cost allocation for assembly manufacturers will improve the quality control level of the equipment procurement supply chain.

[0111] As the information transmission level coefficient increases, the quality control level of the equipment procurement supply chain will be strengthened.

[0112] Figure 2 This is a flowchart illustrating an embodiment of the equipment procurement supply chain quality control system of the present invention; as follows: Figure 2As shown in the figure, an equipment procurement supply chain quality control system provided by an embodiment of the present invention includes the following steps:

[0113] Module 10 is used to construct an indicator system for the equipment procurement supply chain quality analysis model, wherein the indicator system includes a cost coefficient for improving technical process quality and an information transmission level coefficient.

[0114] The first analysis module 20 is used to analyze the implementation effect of different quality cost allocation parameters through the technical process quality improvement cost coefficient, and obtain the first analysis result;

[0115] The second analysis module 30 is used to analyze the quality control level under different control methods through information transmission level coefficients, and obtain the second analysis results.

[0116] The control module 40 is used to control the quality of the equipment procurement supply chain based on the first analysis result and the second analysis result.

[0117] This invention discloses a quality control system for the equipment procurement supply chain. A construction module 10 builds an index system for the quality analysis model of the equipment procurement supply chain. This index system includes a cost coefficient for improving technical process quality and an information transmission level coefficient. A first analysis module 20 analyzes the implementation effect of different quality cost allocation parameters using the cost coefficient for improving technical process quality, obtaining a first analysis result. A second analysis module 30 analyzes the quality control level under different control methods using the information transmission level coefficient, obtaining a second analysis result. A control module 40 controls the quality of the equipment procurement supply chain based on the first and second analysis results.

[0118] Figure 7 This is a schematic diagram of the physical structure of an electronic device provided in an embodiment of the present invention, such as... Figure 7 As shown, the electronic device 50 includes: a processor 501, a memory 502, and a bus 503;

[0119] The processor 501 and the memory 502 communicate with each other via the bus 503.

[0120] The processor 501 is used to call program instructions in the memory 502 to execute the methods provided in the above-described method embodiments, such as: constructing an indicator system for a quality analysis model of the equipment procurement supply chain, wherein the indicator system includes a technical process quality improvement cost coefficient and an information transmission level coefficient; analyzing the implementation effect of different quality cost allocation parameters through the technical process quality improvement cost coefficient to obtain a first analysis result; analyzing the quality control level under different control methods through the information transmission level coefficient to obtain a second analysis result; and controlling the quality of the equipment procurement supply chain based on the first analysis result and the second analysis result.

[0121] This embodiment provides a non-transitory computer-readable medium storing computer instructions that cause a computer to execute the methods provided in the above-described method embodiments. These instructions include, for example: constructing an indicator system for an equipment procurement supply chain quality analysis model, wherein the indicator system includes a technical process quality improvement cost coefficient and an information transmission level coefficient; analyzing the implementation effect of different quality cost allocation parameters using the technical process quality improvement cost coefficient to obtain a first analysis result; analyzing the quality control level under different control methods using the information transmission level coefficient to obtain a second analysis result; and controlling the equipment procurement supply chain quality based on the first and second analysis results.

[0122] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned medium includes various media that can store program code, such as ROM, RAM, magnetic disk, or optical disk.

[0123] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0124] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable medium, such as ROM / RAM, magnetic disk, optical disk, etc., including several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods of various embodiments or some parts of embodiments.

[0125] Although the present invention has been described in detail above using general descriptions and specific embodiments, it will be apparent to those skilled in the art that modifications and improvements may be made thereto. Therefore, such modifications and improvements, without departing from the spirit of the present invention, are intended to be within the scope of protection claimed herein.

Claims

1. A method for quality control in the equipment procurement supply chain, characterized in that, The method specifically includes: An indicator system for constructing a quality analysis model of the equipment procurement supply chain is established, wherein the indicator system includes a cost coefficient for improving technical process quality and an information transmission level coefficient. The first analysis results are obtained by analyzing the implementation effect of different quality cost allocation parameters through the cost coefficient analysis of technical process quality improvement. The number of qualified products during the research and development process is calculated using Formula 1. Formula 1: In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level. The cost level of improving technical quality is calculated using Formula 2. Formula 2: In the formula, TecIncr represents the level of technological and process quality improvement, and TecIncrCost represents the cost coefficient for improving technological and process quality. Quality cost allocation parameters for assembly manufacturers; The second analysis result, obtained by analyzing the quality control level under different control methods using information transmission level coefficients, includes: The number of qualified products during the research and development process is calculated using Formula 3. Formula 3: In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level. The quality control level of the development process of the quality control strategy for triggering information transmission relationship contracts is calculated using Formula 3. Formula 4: In the formula, Q S2 Q represents the quality control level of the development process that triggers the quality control strategy for information transmission relationship contracts. S1 It refers to the quality control level of the procurement process that triggers the quality control strategy of information transmission relationship contract; MilManuExp is the product manufacturing experience; InnoDific is the product innovation difficulty level; InforShare is the information sharing level; and TecIncr is the technical process quality improvement level. Calculate the information sharing level using Formula 5; Formula 5: In the formula, InforShare represents the information sharing level, I Initial value = 0; The level of improvement in technological process quality is calculated using Formula 6. Formula 6: In the formula, TecIncr represents the level of improvement in technical process quality, and TecIncrCost represents the cost coefficient for improving technical quality. Control the quality of the equipment procurement supply chain based on the first and second analysis results.

2. The equipment procurement supply chain quality control method according to claim 1, characterized in that, The control of equipment procurement supply chain quality based on the first analysis result and the second analysis result includes: When the cost coefficient for improving the quality of technology and processes is 0.10, increasing the proportion of quality cost allocation for assembly manufacturers will improve the quality control level of the equipment procurement supply chain.

3. The equipment procurement supply chain quality control method according to claim 1, characterized in that, The control of equipment procurement supply chain quality based on the first analysis result and the second analysis result includes: As the information transmission level coefficient increases, the quality control level of the equipment procurement supply chain will be strengthened.

4. A quality control system for equipment procurement supply chain, characterized in that, include: The module is used to construct the indicator system of the equipment procurement supply chain quality analysis model, wherein the indicator system includes the cost coefficient for improving technical process quality and the information transmission level coefficient. The first analysis module is used to analyze the implementation effect of different quality cost allocation parameters through the cost coefficient of improving the quality of technology and process, and to obtain the first analysis result; The number of qualified products during the research and development process is calculated using Formula 1. Formula 1: In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level. The cost level of improving technical quality is calculated using Formula 2. Formula 2: In the formula, TecIncr represents the level of technological and process quality improvement, and TecIncrCost represents the cost coefficient for improving technological and process quality. Quality cost allocation parameters for assembly manufacturers; The second analysis module is used to analyze the quality control level under different control methods through information transmission level coefficients, and obtain the second analysis results. The number of qualified products during the research and development process is calculated using Formula 3. Formula 3: In the formula, Q2 is the number of qualified products in the development process, Q1 is the number of qualified purchased parts, MilManuExp is the product manufacturing experience, InnoDific is the product innovation difficulty level, and InforShare is the information sharing level. The quality control level of the development process of the quality control strategy for triggering information transmission relationship contracts is calculated using Formula 3. Formula 4: In the formula, Q S2 Q represents the quality control level of the development process that triggers the quality control strategy for information transmission relationship contracts. S1 It refers to the quality control level of the procurement process that triggers the quality control strategy of information transmission relationship contract; MilManuExp is the product manufacturing experience; InnoDific is the product innovation difficulty level; InforShare is the information sharing level; and TecIncr is the technical process quality improvement level. Calculate the information sharing level using Formula 5; Formula 5: In the formula, InforShare represents the information sharing level, I Initial value = 0; The level of improvement in technological process quality is calculated using Formula 6. Formula 6: In the formula, TecIncr represents the level of improvement in technical process quality, and TecIncrCost represents the cost coefficient for improving technical quality. The control module is used to control the quality of the equipment procurement supply chain based on the first analysis result and the second analysis result.

5. The equipment procurement supply chain quality control system according to claim 4, characterized in that, The technical process quality improvement cost coefficients include 0.10, 0.15 and 0.20, and the quality cost allocation parameters include 10%, 30% and 50%.

6. The equipment procurement supply chain quality control system according to claim 5, characterized in that, The information transmission level coefficients include 0.2, 0.4, and 0.

6.

7. 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, it implements the steps of the method as described in any one of claims 1 to 3.

8. A non-transitory computer-readable medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the steps of the method as described in any one of claims 1 to 3.

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