Supply chain reliability degree evaluation method and device of power equipment and computer equipment

Abstract

The invention relates to a supply chain reliability degree evaluation method and device of power equipment and computer equipment. The method comprises the steps that a first evaluation value is determined for the power equipment, a second evaluation value is determined for parts of the power equipment, a third evaluation value is determined for materials of the power equipment, and the first evaluation value, the second evaluation value and the third evaluation value are all obtained through weighted summation of a plurality of index values, therefore, the supply chain reliability degree of the power equipment is comprehensively evaluated from multiple dimensions, and the accuracy of the evaluation result can be effectively improved.

Description

Technical Field

[0001] The present application relates to the technical field of power equipment supply chain stability, and in particular to a method, device and computer equipment for evaluating the reliability of a power equipment supply chain. Background Art

[0002] In the current assessment method, the reliability of the power equipment supply chain is assessed only by determining whether the power equipment is imported. However, this assessment method only uses a single indicator to evaluate the reliability of the supply chain, and its accuracy is low. Summary of the Invention

[0003] Based on this, it is necessary to provide a method, device and computer equipment for evaluating the reliability of the supply chain of power equipment that can improve the accuracy of evaluation in response to the above technical problems.

[0004] In a first aspect, the present application provides a method for evaluating the reliability of a supply chain of power equipment, the method comprising:

[0005] For power equipment, a first indicator value representing the business continuity management level of the equipment supplier, a second indicator value representing the reliability of the equipment-level supply chain, and a third indicator value representing the risk response level of the power equipment are obtained, and a weighted sum is performed based on the first indicator value, the second indicator value, and the third indicator value to obtain a first evaluation value;

[0006] For any component of the power equipment, a fourth index value representing the reliability of the supply chain at the component level and a fifth index value representing the risk response level of the component are obtained, and a weighted sum of the fourth and fifth index values ​​is performed to obtain a second evaluation value;

[0007] For any material of the power equipment, a sixth index value representing the reliability of the material-level supply chain and a seventh index value representing the risk response level of the material are obtained, and a weighted sum of the sixth and seventh index values ​​is performed to obtain a third evaluation value;

[0008] Sorting the first evaluation value, all second evaluation values, and all third evaluation values ​​in a preset order, and determining the first preset number of evaluation values ​​in the sorting result as target evaluation values;

[0009] Obtain evaluation value statistics of all target evaluation values, and evaluate the reliability of the power equipment supply chain based on the evaluation value statistics.

[0010] In one embodiment, obtaining a first indicator value representing a business continuity management level of a device supplier includes:

[0011] Obtaining a first sub-indicator value representing the equipment supplier's supply capability for power equipment, a second sub-indicator value representing the equipment supplier's business continuity objectives, a third sub-indicator value representing the equipment supplier's risk tolerance, and a fourth sub-indicator value representing the equipment supplier's business support level;

[0012] Based on the first sub-index value, the second sub-index value, the third sub-index value and the fourth sub-index value, a weighted sum is performed to obtain the first index value.

[0013] In one embodiment, obtaining a second indicator value representing device-level supply chain reliability includes:

[0014] Obtain the fifth sub-indicator value representing the reliability level of the power equipment supply chain, the sixth sub-indicator value representing the nature of the equipment supplier, the seventh sub-indicator value representing the product maturity level of the power equipment, the eighth sub-indicator value representing the degree of product scale of the power equipment, and the ninth sub-indicator value representing the product reliability of the power equipment;

[0015] A weighted sum is performed based on the fifth sub-index value, the sixth sub-index value, the seventh sub-index value, the eighth sub-index value, and the ninth sub-index value to obtain a second index value.

[0016] In one embodiment, obtaining a third indicator value representing a risk response level of the power equipment includes:

[0017] Obtaining a tenth sub-indicator value representing the inventory quantity of the power equipment, an eleventh sub-indicator value representing the interruption recovery capability of the power equipment, and a twelfth sub-indicator value representing the core technology research level of the power equipment;

[0018] A weighted sum is performed based on the tenth sub-index value, the eleventh sub-index value, and the twelfth sub-index value to obtain a third index value.

[0019] In one embodiment, obtaining a fourth indicator value representing component-level supply chain reliability includes:

[0020] Obtaining a thirteenth sub-indicator value representing the reliability of a component's supply chain, a fourteenth sub-indicator value representing the reliability level of a component's supply chain, and a fifteenth sub-indicator value representing the technical maturity of the component;

[0021] A weighted sum is performed based on the thirteenth sub-index value, the fourteenth sub-index value, and the fifteenth sub-index value to obtain a fourth index value.

[0022] In one embodiment, obtaining a fifth indicator value representing a risk response level of a component includes:

[0023] Obtaining a sixteenth sub-indicator value representing the inventory quantity of a component, a seventeenth sub-indicator value representing the interruption recovery capability of the component, and an eighteenth sub-indicator value representing the core technology research level of the component;

[0024] A fifth index value is obtained by performing a weighted sum based on the sixteenth sub-index value, the seventeenth sub-index value, and the eighteenth sub-index value.

[0025] In one embodiment, obtaining a sixth indicator value representing material-level supply chain reliability includes:

[0026] Obtain the 19th sub-indicator value representing the reliability of the material supply chain, the 20th sub-indicator value representing the reliability level of the material supply chain, and the 21st sub-indicator value representing the technical maturity of the material;

[0027] Based on the nineteenth sub-index value, the twentieth sub-index value and the twenty-first sub-index value, a weighted sum is performed to obtain the sixth index value.

[0028] In one embodiment, obtaining a seventh indicator value representing a risk response level of a material includes:

[0029] Obtain the 22nd sub-indicator value for the inventory quantity of the material, the 23rd sub-indicator value for the interruption recovery capability of the material, and the 24th sub-indicator value for the core technology research level of the material;

[0030] Based on the 22nd sub-index value, the 23rd sub-index value and the 24th sub-index value, a weighted sum is performed to obtain the seventh index value.

[0031] In a second aspect, the present application further provides a device for evaluating the reliability of a supply chain of power equipment, the device comprising:

[0032] A first acquisition module is configured to acquire, for power equipment, a first indicator value representing a business continuity management level of an equipment supplier, a second indicator value representing a supply chain reliability at the equipment level, and a third indicator value representing a risk response level of the power equipment, and perform a weighted summation based on the first indicator value, the second indicator value, and the third indicator value to obtain a first evaluation value;

[0033] a second acquisition module configured to acquire, for any component of the power equipment, a fourth indicator value representing the reliability of the supply chain at the component level and a fifth indicator value representing the risk response level of the component, and perform a weighted summation based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value;

[0034] A third acquisition module is configured to acquire, for any material of the power equipment, a sixth index value representing the reliability of the material-level supply chain and a seventh index value representing the risk response level of the material, and perform a weighted summation based on the sixth index value and the seventh index value to obtain a third evaluation value;

[0035] A sorting module, configured to sort the first evaluation value, all second evaluation values, and all third evaluation values ​​in a preset order, and determine the first preset number of evaluation values ​​in the sorting result as target evaluation values;

[0036] The fourth acquisition module is used to obtain evaluation value statistics of all target evaluation values ​​and evaluate the reliability of the supply chain of the power equipment based on the evaluation value statistics.

[0037] In a third aspect, the present application further provides a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method in any of the above embodiments when executing the computer program.

[0038] The above-mentioned supply chain reliability assessment method, device and computer equipment for power equipment obtain, for power equipment, a first indicator value representing the business continuity management level of the equipment supplier, a second indicator value representing the supply chain reliability at the equipment level, and a third indicator value representing the risk response level of the power equipment, and perform weighted summation based on the first indicator value, the second indicator value and the third indicator value to obtain a first evaluation value; for any component of the power equipment, obtain a fourth indicator value representing the supply chain reliability at the component level, and a fifth indicator value representing the risk response level of the component, and perform weighted summation based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value; for any material of the power equipment, obtain a sixth indicator value representing the supply chain reliability at the material level, and a seventh indicator value representing the risk response level of the material, and perform weighted summation based on the sixth indicator value and the seventh indicator value to obtain a third evaluation value; sort the first evaluation value, all second evaluation values ​​and all third evaluation values ​​in a preset order, and determine the first preset number of evaluation values ​​in the sorting result as target evaluation values; obtain evaluation value statistics of all target evaluation values, and evaluate the supply chain reliability of the power equipment based on the evaluation value statistics. The method provided in the present application determines a first evaluation value for the power equipment, a second evaluation value for the components of the power equipment, and a third evaluation value for the materials of the power equipment. In addition, the first evaluation value, the second evaluation value, and the third evaluation value are all obtained by weighted summation of multiple indicator values. In this way, the reliability of the supply chain of the power equipment is comprehensively evaluated from multiple dimensions, which can effectively improve the accuracy of the evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments of the present application or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 1 is a flow chart of a method for evaluating the reliability of a supply chain of power equipment according to an embodiment;

[0041] Figure 2 Schematic diagram of a flow chart of a method for obtaining a first indicator value in one embodiment;

[0042] Figure 3 is a flow chart of a method for evaluating the reliability of a power equipment supply chain in another embodiment;

[0043] Figure 4 is a schematic diagram of evaluation indicators at the device level, component level, and material level in another embodiment;

[0044] Figure 5 A structural block diagram of a device for evaluating the reliability of a supply chain of power equipment according to one embodiment;

[0045] Figure 6 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0046] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0047] It should be noted that the terms "first", "second", etc. used in this application may be used to describe various elements, but these elements are not limited by these terms. These terms are only used to distinguish the first element from the second element. The terms "including" and "having" used in this application and any variations thereof are intended to cover non-exclusive inclusions. The term "plurality" used in this application refers to two or more. The term "and / or" used in this application refers to one of the solutions or any combination of multiple solutions.

[0048] In one embodiment, Figure 1As shown, a method for evaluating the reliability of a power equipment supply chain is provided. This embodiment uses the method applied to a terminal as an example. It is understood that the method can also be applied to a server, or to a system including a terminal and a server, and implemented through interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0049] S102. For power equipment, obtain a first indicator value representing the business continuity management level of the equipment supplier, a second indicator value representing the supply chain reliability at the equipment level, and a third indicator value representing the risk response level of the power equipment, and perform weighted summation based on the first indicator value, the second indicator value, and the third indicator value to obtain a first evaluation value.

[0050] Among them, the Business Continuity Management (BCM) level is a systematic assessment system that measures the equipment supplier's ability to maintain key business operations and delivery capabilities in sudden interruption events (such as natural disasters, supply chain disruptions, cyber attacks, etc.); the supply chain reliability can be characterized by the Autonomy & Operability Evaluation (AOE), which is a comprehensive evaluation system that measures the core technology autonomy, supply chain security and emergency response capabilities of key power system equipment. It is particularly applicable to national critical infrastructure such as smart grids and new energy power stations; the Contingency Withstand Rating (CWR) is a key indicator in power system reliability assessment, used to quantify the risk tolerance and emergency response effectiveness of equipment under sudden failures or extreme operating conditions.

[0051] Optionally, the weight values ​​corresponding to the first index value, the second index value, and the third index value may be determined first, and then a weighted sum is performed on the three index values ​​and the weight values ​​to obtain the first evaluation value.

[0052] S104. For any component of the power equipment, obtain a fourth indicator value representing the supply chain reliability at the component level and a fifth indicator value representing the risk response level of the component, and perform weighted summation based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value.

[0053] Optionally, the weight values ​​corresponding to the fourth index value and the fifth index value may be determined first, and then a weighted sum is performed on the two index values ​​and the weight values ​​to obtain the second evaluation value.

[0054] S106. For any material of the power equipment, obtain a sixth indicator value representing the supply chain reliability at the material level and a seventh indicator value representing the risk response level of the material, and perform weighted summation based on the sixth indicator value and the seventh indicator value to obtain a third evaluation value.

[0055] Optionally, the weight values ​​corresponding to the sixth index value and the seventh index value may be determined first, and then a weighted sum is performed on the two index values ​​and the weight values ​​to obtain the third evaluation value.

[0056] S108 , sorting the first evaluation value, all second evaluation values, and all third evaluation values ​​according to a preset order, and determining the first preset number of evaluation values ​​in the sorting result as target evaluation values.

[0057] Among them, the target evaluation value is a preset number of evaluation values ​​that have the greatest impact on the supply chain reliability evaluation process of power equipment.

[0058] Optionally, the first evaluation value, all second evaluation values, and all third evaluation values ​​may be sorted in descending order, but are not limited to being sorted.

[0059] S110 , obtaining evaluation value statistics of all target evaluation values, and evaluating the reliability of the power equipment supply chain based on the evaluation value statistics.

[0060] Optionally, the evaluation value statistics may be, but are not limited to, an average value or a median value.

[0061] Optionally, a plurality of preset evaluation value ranges may be obtained first, with different preset evaluation value ranges corresponding to different supply chain reliability levels, and then the supply chain reliability level of the power equipment may be evaluated based on the preset evaluation value range within which the evaluation value statistics lie.

[0062] In the above-mentioned supply chain reliability assessment method for power equipment, for power equipment, a first indicator value characterizing the business continuity management level of the equipment supplier, a second indicator value characterizing the supply chain reliability at the equipment level, and a third indicator value characterizing the risk response level of the power equipment are obtained, and a weighted sum is performed based on the first indicator value, the second indicator value, and the third indicator value to obtain a first evaluation value; for any component of the power equipment, a fourth indicator value characterizing the supply chain reliability at the component level and a fifth indicator value characterizing the risk response level of the component are obtained, and a weighted sum is performed based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value; for any material of the power equipment, a sixth indicator value characterizing the supply chain reliability at the material level and a seventh indicator value characterizing the risk response level of the material are obtained, and a weighted sum is performed based on the sixth indicator value and the seventh indicator value to obtain a third evaluation value; the first evaluation value, all second evaluation values, and all third evaluation values ​​are sorted in a preset order, and the first preset number of evaluation values ​​in the sorting result are determined as target evaluation values; the evaluation value statistics of all target evaluation values ​​are obtained, and the supply chain reliability of the power equipment is evaluated based on the evaluation value statistics. The method provided in the present application determines a first evaluation value for the power equipment, a second evaluation value for the components of the power equipment, and a third evaluation value for the materials of the power equipment. In addition, the first evaluation value, the second evaluation value, and the third evaluation value are all obtained by weighted summation of multiple indicator values. In this way, the reliability of the supply chain of the power equipment is comprehensively evaluated from multiple dimensions, which can effectively improve the accuracy of the evaluation results.

[0063] In some embodiments, as Figure 2 As shown, obtaining a first indicator value representing the business continuity management level of the equipment supplier includes:

[0064] S202. Obtain a first sub-indicator value representing the equipment supplier's supply capability for power equipment, a second sub-indicator value representing the equipment supplier's business continuity goals, a third sub-indicator value representing the equipment supplier's risk tolerance, and a fourth sub-indicator value representing the equipment supplier's business support level.

[0065] S204: Perform weighted summation based on the first sub-index value, the second sub-index value, the third sub-index value, and the fourth sub-index value to obtain a first index value.

[0066] Among them, supply capability can be represented by enterprise competitiveness (EC), which refers to the supplier's comprehensive capability system in terms of technology, cost, service and other dimensions to continuously meet customer needs and surpass competitors; business continuity goal (SG) is the core quantitative indicator in business continuity management (BCM), which is used to define the minimum acceptable service level and time requirements for key business functions to be restored after an interruption; risk tolerance can be represented by risk impact rate (RIR), which is a comprehensive indicator that quantifies the potential impact of risk events and reflects the intensity of losses caused by unit risk exposure; business support level (BS or BSL) is a quantitative indicator system that measures the effectiveness of the equipment supplier's back-end functions in supporting core businesses. Its core logic is to achieve strategic alignment through service standardization and measurable effectiveness.

[0067] Optionally, the corresponding weight values ​​of the first sub-indicator value, the second sub-indicator value, the third sub-indicator value and the fourth sub-indicator value may be determined first, and then a weighted sum of the four sub-indicator values ​​and the weight values ​​may be performed to obtain the first indicator value.

[0068] In this embodiment, a weighted sum is performed based on the first sub-indicator value, the second sub-indicator value, the third sub-indicator value and the fourth sub-indicator value to obtain the first indicator value, so that the obtained first indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0069] In some embodiments, obtaining a second indicator value characterizing the supply chain reliability at the equipment level includes: obtaining a fifth sub-indicator value characterizing the supply chain reliability level of the power equipment, a sixth sub-indicator value characterizing the nature of the equipment supplier, a seventh sub-indicator value characterizing the product maturity level of the power equipment, an eighth sub-indicator value characterizing the product scale of the power equipment, and a ninth sub-indicator value characterizing the product reliability of the power equipment; and performing a weighted sum based on the fifth sub-indicator value, the sixth sub-indicator value, the seventh sub-indicator value, the eighth sub-indicator value, and the ninth sub-indicator value to obtain the second indicator value.

[0070] Among them, the supply chain reliability level can be represented by the Autonomous Level Evaluation (ALE), which is a standardized system for quantitatively evaluating the degree of autonomous control of the core technology of equipment throughout the entire life cycle of R&D, production, and operation and maintenance; the Product Maturity Level (PML) is a grading system for quantitatively evaluating product technical reliability, market adaptability, and production stability; the Product Scalability Degree (PSD) is a quantitative indicator that measures the efficiency of marginal cost reduction when expanding the production / service scale of a product; and Product Reliability Performance (RP) refers to the ability of a product to complete the specified functions without failure under specified conditions and within a specified time.

[0071] Optionally, the nature of the equipment supplier may be, but is not limited to, characterizing the company shareholding structure of the equipment supplier; for example, if the equipment supplier is a wholly domestically-owned enterprise, the value of its sixth sub-indicator is 100; if the equipment supplier is a Sino-foreign joint venture with foreign investment accounting for more than 50%, the value of its sixth sub-indicator is 50; if the equipment supplier is a Sino-foreign joint venture with foreign investment accounting for more than 60%, the value of its sixth sub-indicator is 40.

[0072] Optionally, the fifth sub-index value of the supply chain reliability level of the power equipment may be determined according to the supply chain reliability levels of components of the power equipment.

[0073] Optionally, if the supply chain reliability level of power equipment is divided into three levels, and the fifth sub-indicator values ​​of these three levels are 85, 80 and 75 from high to low, then for domestic wholly-owned enterprises, the fifth sub-indicator value is 85.

[0074] Optionally, the corresponding weight values ​​of the fifth sub-indicator value, the sixth sub-indicator value, the seventh sub-indicator value, the eighth sub-indicator value and the ninth sub-indicator value can be determined first, and then the weighted sum of these five sub-indicator values ​​and the weight values ​​can be performed to obtain the second indicator value.

[0075] In this embodiment, a weighted sum is performed based on the fifth sub-indicator value, the sixth sub-indicator value, the seventh sub-indicator value, the eighth sub-indicator value and the ninth sub-indicator value to obtain the second indicator value, so that the obtained second indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0076] In some embodiments, obtaining a third indicator value characterizing the risk response level of the power equipment includes: obtaining a tenth sub-indicator value characterizing the inventory quantity of the power equipment, an eleventh sub-indicator value characterizing the interruption recovery capability of the power equipment, and a twelfth sub-indicator value characterizing the core technology research and development level of the power equipment; and performing a weighted sum based on the tenth sub-indicator value, the eleventh sub-indicator value, and the twelfth sub-indicator value to obtain the third indicator value.

[0077] Among them, the inventory quantity can be represented by the Strategic Reserve Level (SR), which refers to the quantitative standard of key power equipment and capacity reserved in advance to ensure the continuous power supply capability of the power system under extreme events (such as natural disasters, fuel shortages or sudden demand surges); Interruption Resilience (IR) refers to the ability of equipment / system to quickly resume normal operation after a sudden interruption (such as power outage, network failure, hardware damage); Technology Readiness Level (TRL) is an internationally accepted standard system for measuring the maturity of technology from theory to industrialization.

[0078] Optionally, the corresponding weight values ​​of the tenth sub-indicator value, the eleventh sub-indicator value, and the twelfth sub-indicator value may be determined first, and then a weighted sum of the three sub-indicator values ​​and the weight values ​​may be performed to obtain the third indicator value.

[0079] In this embodiment, a weighted sum is performed based on the tenth sub-indicator value, the eleventh sub-indicator value, and the twelfth sub-indicator value to obtain a third indicator value, so that the obtained third indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0080] In some embodiments, obtaining a fourth indicator value characterizing the supply chain reliability at the component level includes: obtaining a thirteenth sub-indicator value characterizing the supply chain reliability of the component, a fourteenth sub-indicator value characterizing the component supply chain reliability level of the component, and a fifteenth sub-indicator value characterizing the technical maturity of the component; and performing a weighted sum based on the thirteenth sub-indicator value, the fourteenth sub-indicator value, and the fifteenth sub-indicator value to obtain a fourth indicator value.

[0081] Among them, the technology maturity can be represented by the device application level (DAL). The component application level is an evaluation system used in industrial and system engineering to quantify the criticality of components in specific application scenarios. Its core is to determine the impact of components on the overall functional safety of the system through risk analysis.

[0082] Optionally, the thirteenth sub-indicator value of the component supply chain reliability can be determined based on, but not limited to, the nature of the equipment supplier; for example, the thirteenth sub-indicator value of a domestic supplier is 85, and the thirteenth sub-indicator value of a Sino-foreign joint venture supplier is 45.

[0083] Optionally, the fourteenth sub-indicator value of the component supply chain reliability level can be determined based on the nature and number of component suppliers; for example, if there is only one component supplier and it is a domestic supplier, the fourteenth sub-indicator value is 100; if there are multiple component suppliers and only one of them is a domestic supplier, the fourteenth sub-indicator value is 60; if there are multiple component suppliers and none of them is a domestic supplier, the fourteenth sub-indicator value is 0.

[0084] Optionally, the weight values ​​corresponding to the thirteenth sub-indicator value, the fourteenth sub-indicator value, and the fifteenth sub-indicator value may be determined first, and then a weighted sum of the three sub-indicator values ​​and the weight values ​​may be performed to obtain the fourth indicator value.

[0085] In this embodiment, a weighted sum is performed based on the thirteenth sub-indicator value, the fourteenth sub-indicator value, and the fifteenth sub-indicator value to obtain the fourth indicator value, so that the obtained fourth indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0086] In some embodiments, obtaining a fifth indicator value characterizing the risk response level of a component includes: obtaining a sixteenth sub-indicator value characterizing the inventory quantity of the component, a seventeenth sub-indicator value characterizing the interruption recovery capability of the component, and an eighteenth sub-indicator value characterizing the core technology research level of the component; and performing a weighted sum based on the sixteenth sub-indicator value, the seventeenth sub-indicator value, and the eighteenth sub-indicator value to obtain the fifth indicator value.

[0087] Optionally, the corresponding weight values ​​of the sixteenth sub-index value, the seventeenth sub-index value, and the eighteenth sub-index value may be determined first, and then a weighted sum of the three sub-index values ​​and the weight values ​​may be performed to obtain the fifth index value.

[0088] In this embodiment, a weighted sum is performed based on the sixteenth sub-indicator value, the seventeenth sub-indicator value, and the eighteenth sub-indicator value to obtain the fifth indicator value, so that the obtained fifth indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0089] In some embodiments, obtaining a sixth indicator value characterizing the supply chain reliability of the material level includes: obtaining a nineteenth sub-indicator value characterizing the supply chain reliability of the material, a twentieth sub-indicator value characterizing the material supply chain reliability level of the material, and a twenty-first sub-indicator value characterizing the technical maturity of the material; and performing a weighted sum based on the nineteenth sub-indicator value, the twentieth sub-indicator value, and the twenty-first sub-indicator value to obtain the sixth indicator value.

[0090] Optionally, the corresponding weight values ​​of the nineteenth sub-indicator value, the twentieth sub-indicator value, and the twenty-first sub-indicator value may be determined first, and then a weighted sum of the three sub-indicator values ​​and the weight values ​​may be performed to obtain the sixth index value.

[0091] In this embodiment, a weighted sum is performed based on the nineteenth sub-indicator value, the twentieth sub-indicator value, and the twenty-first sub-indicator value to obtain the sixth indicator value, so that the obtained sixth indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0092] In some embodiments, obtaining the seventh indicator value of the risk response level of the characterizing material includes: obtaining the twenty-second sub-indicator value of the inventory quantity of the characterizing material, the twenty-third sub-indicator value of the interruption recovery capability of the characterizing material, and the twenty-fourth sub-indicator value of the core technology research level of the characterizing material; based on the twenty-second sub-indicator value, the twenty-third sub-indicator value and the twenty-fourth sub-indicator value, performing a weighted sum to obtain the seventh indicator value.

[0093] Optionally, the weight values ​​corresponding to the 22nd sub-indicator value, the 23rd sub-indicator value, and the 24th sub-indicator value may be determined first, and then a weighted sum of the three sub-indicator values ​​and the weight values ​​may be performed to obtain the seventh indicator value.

[0094] In this embodiment, a weighted sum is performed based on the 22nd sub-indicator value, the 23rd sub-indicator value, and the 24th sub-indicator value to obtain the seventh indicator value, so that the obtained seventh indicator value is more accurate, thereby making the evaluation result of the supply chain reliability more accurate.

[0095] In one embodiment, Figure 3 As shown in FIG, another method for evaluating the reliability of a supply chain of power equipment is provided, which includes the following contents:

[0096] Combine the autonomous controllability evaluation indicators at the equipment level, component level and material level to evaluate the autonomous controllability level of power equipment at multiple levels; among them, the evaluation indicators at the equipment level, component level and material level are as follows Figure 4 shown.

[0097] The 500kV transformers supplied by three suppliers, namely, Sino-foreign joint venture A, domestic supplier A, and Sino-foreign joint venture B, were evaluated. The information on the import and domestic production of key components of each device is shown in Table 1 (Statistics of Import Information of Key Components of 500kV Transformer Suppliers):

[0098] Table 1

[0099]

[0100] Calculation of scores for each indicator:

[0101] (1) Equipment supplier nature NES

[0102] Based on the supplier's corporate shareholding structure score, domestic supplier A is a wholly domestically-owned enterprise, and its equipment supplier nature is 100; Sino-foreign joint venture A is a Sino-foreign joint venture with foreign investment accounting for more than 50%, so its equipment supplier nature is 40; Sino-foreign joint venture B is a Sino-foreign joint venture with foreign investment accounting for more than 60%, so its equipment supplier nature is 40.

[0103] (2) Component autonomous control level LDL

[0104] The level of component autonomy and control is scored primarily based on the nature of the equipment supplier. The results show that Sino-foreign joint venture A has a level of 45, domestic supplier A has a level of 85, and Sino-foreign joint venture B has a level of 45.

[0105] (3) Component autonomous control level ALD

[0106] When component j is supplied entirely through domestic suppliers, its autonomy and controllability level is 100. When component j has three or more imported suppliers, its autonomy and controllability level is 60. When component j has two or more imported suppliers, its autonomy and controllability level is 40. When component j has only imported suppliers, its autonomy and controllability level is 0. The autonomy and controllability levels of each component in each supplier's equipment are averaged, resulting in a component autonomy and controllability level of 82.3 for Sino-foreign joint venture A, 96.15 for domestic supplier A, and 74.62 for Sino-foreign joint venture B.

[0107] (4) Equipment autonomous control level ALE

[0108] The equipment autonomy level is scored primarily based on the level of component autonomy. The supplier with the highest component autonomy level has an equipment autonomy level of 85, followed by 80, and the lowest is 75. Domestic supplier A has an equipment autonomy level of 85, Sino-foreign joint venture A has an equipment autonomy level of 80, and Sino-foreign joint venture B has an equipment autonomy level of 75.

[0109] The calculation formula for component-level autonomous controllability AOD is:

[0110]

[0111] Among them, the coefficient before each indicator is the classification weight, which is obtained by Delphi method;

[0112] The calculation formula for the device-level autonomous controllable level AOE is:

[0113]

[0114] Among them, the coefficient before each indicator is the classification weight;

[0115] The calculation formula for business continuity management indicator BCM is:

[0116]

[0117] Among them, the coefficient before each indicator is the classification weight;

[0118] The total score is:

[0119]

[0120] The coefficients preceding each indicator are classification weights. For indicators with missing information on equipment-level business continuity management (enterprise competitiveness evaluation, business continuity objectives, impact and risk assessment, and enterprise business support) and equipment- and component-level risk response (strategic reserve, disruption recovery capability, and core technology development), the weights are set to 0.

[0121] After summarizing, the supplier quantitative scores of each evaluation indicator and dimension are shown in Table 2:

[0122] Table 2

[0123]

[0124] It should be understood that, although the various steps in the flowcharts involved in the various embodiments described above are displayed in sequence according to the instructions of the arrows, these steps are not necessarily performed in sequence in the order indicated by the arrows. Unless clearly stated herein, the execution of these steps is not strictly limited in order, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts involved in the various embodiments described above may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of the steps or stages in other steps or other steps. It is understandable that the various steps in different embodiments can be freely combined as needed, and the various non-contradictory schemes formed by the combination all fall within the scope of protection of this application.

[0125] Based on the same inventive concept, embodiments of the present application also provide a power equipment supply chain reliability assessment device for implementing the power equipment supply chain reliability assessment method described above. The solution provided by this device is similar to the solution described in the method described above. Therefore, the specific limitations of one or more power equipment supply chain reliability assessment device embodiments provided below can be found in the limitations of the power equipment supply chain reliability assessment method described above and will not be repeated here.

[0126] In an exemplary embodiment, Figure 5 As shown, a device for evaluating the reliability of a supply chain of power equipment is provided, comprising: a first acquisition module 501, a second acquisition module 502, a third acquisition module 503, a sorting module 504, and a fourth acquisition module 505, wherein:

[0127] The first acquisition module 501 is used to obtain, for power equipment, a first indicator value representing the business continuity management level of the equipment supplier, a second indicator value representing the supply chain reliability at the equipment level, and a third indicator value representing the risk response level of the power equipment, and perform weighted summation based on the first indicator value, the second indicator value and the third indicator value to obtain a first evaluation value.

[0128] The second acquisition module 502 is used to obtain, for any component of the power equipment, a fourth indicator value representing the supply chain reliability at the component level and a fifth indicator value representing the risk response level of the component, and perform weighted summation based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value.

[0129] The third acquisition module 503 is used to obtain, for any material of the power equipment, a sixth indicator value characterizing the supply chain reliability at the material level and a seventh indicator value characterizing the risk response level of the material, and perform weighted summation based on the sixth indicator value and the seventh indicator value to obtain a third evaluation value.

[0130] The sorting module 504 is configured to sort the first evaluation value, all second evaluation values, and all third evaluation values ​​in a preset order, and determine the first preset number of evaluation values ​​in the sorting result as target evaluation values.

[0131] The fourth acquisition module 505 is configured to acquire evaluation value statistics of all target evaluation values, and evaluate the supply chain reliability of the power equipment based on the evaluation value statistics.

[0132] In some embodiments, the first acquisition module 501 is also used to obtain a first sub-indicator value characterizing the equipment supplier's supply capacity for the power equipment, a second sub-indicator value characterizing the equipment supplier's business continuity goals, a third sub-indicator value characterizing the equipment supplier's risk tolerance, and a fourth sub-indicator value characterizing the equipment supplier's business support level; based on the first sub-indicator value, the second sub-indicator value, the third sub-indicator value and the fourth sub-indicator value, a weighted sum is performed to obtain the first indicator value.

[0133] In some embodiments, the first acquisition module 501 is also used to obtain a fifth sub-indicator value characterizing the supply chain reliability level of the power equipment, a sixth sub-indicator value characterizing the nature of the equipment supplier, a seventh sub-indicator value characterizing the product maturity level of the power equipment, an eighth sub-indicator value characterizing the product scale degree of the power equipment, and a ninth sub-indicator value characterizing the product reliability of the power equipment; based on the fifth sub-indicator value, the sixth sub-indicator value, the seventh sub-indicator value, the eighth sub-indicator value and the ninth sub-indicator value, a weighted sum is performed to obtain the second indicator value.

[0134] In some embodiments, the first acquisition module 501 is also used to obtain a tenth sub-indicator value representing the inventory quantity of the power equipment, an eleventh sub-indicator value representing the interruption recovery capability of the power equipment, and a twelfth sub-indicator value representing the core technology research level of the power equipment; based on the tenth sub-indicator value, the eleventh sub-indicator value and the twelfth sub-indicator value, a weighted sum is performed to obtain the third indicator value.

[0135] In some embodiments, the second acquisition module 502 is further used to obtain a thirteenth sub-indicator value representing the supply chain reliability of the component, a fourteenth sub-indicator value representing the component supply chain reliability level of the component, and a fifteenth sub-indicator value representing the technical maturity of the component; based on the thirteenth sub-indicator value, the fourteenth sub-indicator value and the fifteenth sub-indicator value, a weighted sum is performed to obtain the fourth indicator value.

[0136] In some embodiments, the second acquisition module 502 is also used to obtain a fifth indicator value characterizing the risk response level of the component, including: obtaining a sixteenth sub-indicator value characterizing the inventory quantity of the component, a seventeenth sub-indicator value characterizing the interruption recovery capability of the component, and an eighteenth sub-indicator value characterizing the core technology research level of the component; based on the sixteenth sub-indicator value, the seventeenth sub-indicator value and the eighteenth sub-indicator value, a weighted sum is performed to obtain the fifth indicator value.

[0137] In some embodiments, the third acquisition module 503 is also used to obtain a nineteenth sub-indicator value characterizing the supply chain reliability of the material, a twentieth sub-indicator value characterizing the material supply chain reliability level of the material, and a twenty-first sub-indicator value characterizing the technical maturity of the material; based on the nineteenth sub-indicator value, the twentieth sub-indicator value and the twenty-first sub-indicator value, a weighted sum is performed to obtain the sixth indicator value.

[0138] In some embodiments, the third acquisition module 503 is also used to obtain a twenty-second sub-indicator value characterizing the inventory quantity of the material, a twenty-third sub-indicator value characterizing the interruption recovery capability of the material, and a twenty-fourth sub-indicator value characterizing the core technology research level of the material; based on the twenty-second sub-indicator value, the twenty-third sub-indicator value and the twenty-fourth sub-indicator value, a weighted sum is performed to obtain the seventh indicator value.

[0139] Each module in the aforementioned power equipment supply chain reliability assessment device can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a computer device memory in the form of software, so that the processor can call and execute the corresponding operations of each module.

[0140] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 6 As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit, and an input device. The processor, memory, and input / output interface are connected via a system bus, and the communication interface, display unit, and input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner. The wireless manner can be achieved through WIFI, a mobile cellular network, near field communication (NFC), or other technologies. When the computer program is executed by the processor, it implements a supply chain reliability assessment method for power equipment.

[0141] Those skilled in the art will understand that Figure 6The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0142] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0143] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0144] Those skilled in the art will understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, blockchain-based distributed databases. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), quantum computing-based data processing logic devices, artificial intelligence (AI) processors, and the like.

[0145] The technical features of the above embodiments can be combined arbitrarily. In order to make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0146] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present application. It should be noted that a person of ordinary skill in the art may make various modifications and improvements without departing from the spirit of the present application, and these modifications and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A method for evaluating the reliability of a power equipment supply chain, characterized in that: The method comprises: For power equipment, obtaining a first indicator value representing the business continuity management level of the equipment supplier, a second indicator value representing the reliability of the equipment-level supply chain, and a third indicator value representing the risk response level of the power equipment, and performing a weighted summation based on the first indicator value, the second indicator value, and the third indicator value to obtain a first evaluation value; For any component of the power equipment, obtaining a fourth index value representing the reliability of the supply chain at the component level and a fifth index value representing the risk response level of the component, and performing a weighted summation based on the fourth index value and the fifth index value to obtain a second evaluation value; For any material of the power equipment, obtaining a sixth index value representing the reliability of the material-level supply chain and a seventh index value representing the risk response level of the material, and performing a weighted summation based on the sixth index value and the seventh index value to obtain a third evaluation value; Sorting the first evaluation value, all second evaluation values, and all third evaluation values ​​in a preset order, and determining the first preset number of evaluation values ​​in the sorting result as target evaluation values; Obtain evaluation value statistics of all target evaluation values, and evaluate the supply chain reliability of the power equipment based on the evaluation value statistics.

2. The method according to claim 1, characterized in that The obtaining of a first indicator value representing the business continuity management level of the equipment supplier includes: Obtaining a first sub-indicator value representing the equipment supplier's supply capability for the power equipment, a second sub-indicator value representing the equipment supplier's business continuity objectives, a third sub-indicator value representing the equipment supplier's risk tolerance, and a fourth sub-indicator value representing the equipment supplier's business support level; Based on the first sub-index value, the second sub-index value, the third sub-index value and the fourth sub-index value, a weighted sum is performed to obtain the first index value.

3. The method according to claim 1, characterized in that The obtaining of a second indicator value representing the reliability of the equipment-level supply chain includes: Obtaining a fifth sub-indicator value representing the supply chain reliability level of the power equipment, a sixth sub-indicator value representing the nature of the equipment supplier, a seventh sub-indicator value representing the product maturity level of the power equipment, an eighth sub-indicator value representing the product scale of the power equipment, and a ninth sub-indicator value representing the product reliability of the power equipment; Based on the fifth sub-index value, the sixth sub-index value, the seventh sub-index value, the eighth sub-index value and the ninth sub-index value, a weighted sum is performed to obtain the second index value.

4. The method according to claim 1, wherein The obtaining of a third indicator value representing a risk response level of the electric power equipment includes: Obtaining a tenth sub-indicator value representing the inventory quantity of the power equipment, an eleventh sub-indicator value representing the interruption recovery capability of the power equipment, and a twelfth sub-indicator value representing the core technology research level of the power equipment; A weighted sum is performed based on the tenth sub-index value, the eleventh sub-index value, and the twelfth sub-index value to obtain the third index value.

5. The method according to claim 1, wherein The obtaining of a fourth indicator value representing the reliability of the component-level supply chain includes: Obtaining a thirteenth sub-indicator value representing a reliability level of the component supply chain, a fourteenth sub-indicator value representing a component supply chain reliability level, and a fifteenth sub-indicator value representing a technical maturity level of the component; A weighted sum is performed based on the thirteenth sub-index value, the fourteenth sub-index value, and the fifteenth sub-index value to obtain the fourth index value.

6. The method according to claim 1, characterized in that The obtaining of a fifth indicator value representing the risk response level of the component includes: Obtaining a sixteenth sub-indicator value representing the inventory quantity of the component, a seventeenth sub-indicator value representing the interruption recovery capability of the component, and an eighteenth sub-indicator value representing the core technology research level of the component; A weighted sum is performed based on the sixteenth sub-index value, the seventeenth sub-index value, and the eighteenth sub-index value to obtain the fifth index value.

7. The method according to claim 1, characterized in that The obtaining of the sixth indicator value representing the reliability of the material-level supply chain includes: Obtaining a nineteenth sub-indicator value representing a reliability level of the material supply chain, a twentieth sub-indicator value representing a reliability level of the material supply chain, and a twenty-first sub-indicator value representing a technical maturity level of the material; Based on the nineteenth sub-index value, the twentieth sub-index value and the twenty-first sub-index value, a weighted sum is performed to obtain the sixth index value.

8. The method according to claim 1, characterized in that The obtaining of a seventh indicator value representing a risk response level of the material includes: Obtaining a twenty-second sub-indicator value representing the inventory quantity of the material, a twenty-third sub-indicator value representing the interruption recovery capability of the material, and a twenty-fourth sub-indicator value representing the core technology research level of the material; Based on the 22nd sub-index value, the 23rd sub-index value and the 24th sub-index value, a weighted sum is performed to obtain the seventh index value.

9. A device for evaluating the reliability of a supply chain of power equipment, characterized in that: The device comprises: a first acquisition module configured to acquire, for power equipment, a first indicator value representing a business continuity management level of a device supplier, a second indicator value representing a device-level supply chain reliability, and a third indicator value representing a risk response level of the power equipment, and to obtain a first evaluation value by performing a weighted summation based on the first indicator value, the second indicator value, and the third indicator value; a second acquisition module configured to acquire, for any component of the power equipment, a fourth indicator value representing a component-level supply chain reliability and a fifth indicator value representing a risk response level of the component, and perform a weighted summation based on the fourth indicator value and the fifth indicator value to obtain a second evaluation value; a third acquisition module configured to acquire, for any material of the power equipment, a sixth index value representing a material-level supply chain reliability and a seventh index value representing a risk response level of the material, and perform a weighted summation based on the sixth index value and the seventh index value to obtain a third evaluation value; a sorting module, configured to sort the first evaluation value, all second evaluation values, and all third evaluation values ​​in a preset order, and determine the first preset number of evaluation values ​​in the sorting result as target evaluation values; The fourth acquisition module is used to obtain evaluation value statistics of all target evaluation values, and evaluate the supply chain reliability of the power equipment based on the evaluation value statistics.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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