CN-121660543-B - Nuclear energy engineering purchasing performance measuring device and method
Abstract
The application provides a nuclear energy engineering procurement performance measurement device and method, and relates to the technical field of nuclear energy engineering management. According to the application, real-time data cooperation is realized through the data acquisition module docking detection system, the enterprise resource planning system, the supply chain management system and the project management platform of the nuclear energy engineering EPC project, the completeness and timeliness of data acquisition are improved, the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance are respectively calculated according to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance, then the purchasing total performance is calculated according to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance, the dynamic risk change and the quality grading result are deeply integrated into the performance calculation, the purchasing performance assessment in a full-dimension and three-dimensional mode is realized, the purchasing management and control problems of the complex nuclear energy engineering EPC project are solved, the accuracy, objectivity and practicability of the purchasing performance assessment of the nuclear energy engineering are improved, and the purchasing cost and risk of the nuclear energy engineering are reduced.
Inventors
- XU JIANXI
- DONG GANG
- ZHUANG YUAN
Assignees
- 上海核工程研究设计院股份有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20260206
Claims (10)
- 1. A nuclear power engineering procurement performance measurement device, comprising: the system comprises a data acquisition module, a detection system, an enterprise resource planning system, a supply chain management system and a project management platform, wherein the data acquisition module is used for acquiring purchasing whole-flow key data of nuclear engineering through a data interface; The risk coefficient dynamic measuring and calculating module is used for calculating a risk coefficient according to the purchasing whole-flow key data; The quality coefficient grading module is in butt joint with a third party detection mechanism system through a data interface and is used for acquiring detection report grade and acceptance data from the third party detection mechanism system and calculating a quality coefficient according to the purchasing whole-flow key data, the detection report grade and the acceptance data; The performance comprehensive calculation module is used for calculating purchasing entity performance, purchasing management performance and purchasing subcontracting performance according to the purchasing whole-flow key data, the risk coefficient and the quality coefficient respectively, and calculating purchasing total performance according to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance; And the result output and early warning module is used for visually displaying the calculation result of the performance comprehensive calculation module and responding to the triggering early warning threshold value to send an early warning signal.
- 2. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the fact that the calculating a risk factor from the procurement complete process key data comprises: identifying risk events based on keyword matching and a rule engine according to the purchasing whole-flow key data and a risk knowledge base; Acquiring a risk type, a risk loss probability, an influence degree and controllability corresponding to the risk event, wherein the influence degree is obtained by calculating according to the actual influence degree of the risk event on a purchasing project cost control target, the interference degree of the risk event on a purchasing project plan progress and the damage degree of the risk event on the quality standard condition of a purchasing product; And calculating the risk coefficient according to the risk type, the risk loss probability, the influence degree and the controllability.
- 3. The nuclear power engineering procurement performance measurement apparatus of claim 2 characterized by the risk factor dynamic measurement module further configured to: Training a machine learning model using historical risk data, wherein any one or more of the risk loss probability, the degree of influence, and the controllability are obtained using the trained machine learning model; and updating the risk knowledge base.
- 4. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the fact that the calculating a quality factor from the procurement complete process key data, the inspection report level, and the acceptance data comprises: Obtaining node acceptance results, third party detection report levels and rectification efficiency according to the purchase whole-flow key data, the detection report levels and the acceptance data; And carrying out weighted calculation on the node acceptance result, the third party detection report level and the rectification efficiency to obtain the quality coefficient.
- 5. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the fact that the calculating of the procurement aggregate performance from the procurement entity performance, the procurement management performance, and the procurement sub-package performance comprises: According to the risk coefficient calculated by the risk coefficient dynamic measuring and calculating module, a first weight, a second weight and a third weight which respectively correspond to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance are obtained; and weighting calculation is carried out on the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance according to the first weight, the second weight and the third weight, so that the purchasing total performance is obtained.
- 6. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the performance synthesis calculation module calculating the procurement entity performance according to the following equation: E 1 =(EV/PV)×0.6+CPI×0.4×[Q×(1-R)]; Wherein E 1 is purchasing entity performance, EV is finished work budget cost, PV is planning work budget cost, CPI is cost execution index, Q is quality coefficient, and R is risk coefficient.
- 7. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the performance synthesis calculation module calculating the procurement management performance according to the following equation: E 2 = (flow compliance x 0.3+ document integrity x 0.3+ communication response efficiency x 0.4) × [ q× (1-R) ]; Wherein E 2 is purchase management performance, Q is quality coefficient, and R is risk coefficient.
- 8. The nuclear power engineering procurement performance measurement apparatus of claim 1 characterized by the performance synthesis calculation module calculating the procurement sub-package performance according to the following equation: E 3 = (packet delivery time rate×0.4+ packet quality qualification rate×0.4+ packet matching degree×0.2) × [ q× (1-R) ]; Wherein E 3 is purchasing subcontract performance, Q is quality coefficient, and R is risk coefficient.
- 9. The nuclear power procurement performance measurement apparatus of claim 1 characterized by the fact that, in response to triggering an early warning threshold, transmitting an early warning signal comprises: Triggering high-risk early warning and sending a first early warning signal in response to the risk coefficient exceeding a first early warning threshold; and triggering quality early warning and sending a second early warning signal in response to the quality coefficient being lower than a second early warning threshold.
- 10. A nuclear energy engineering procurement performance measurement method, comprising: acquiring key data of the purchasing whole process; calculating risk coefficients according to the purchasing whole-flow key data; Obtaining detection report grade and acceptance data from a third-party detection mechanism system, and calculating a quality coefficient according to the purchasing whole-flow key data, the detection report grade and the acceptance data; calculating purchasing entity performance, purchasing management performance and purchasing subcontracting performance according to the purchasing whole process key data, the risk coefficient and the quality coefficient respectively, and calculating purchasing total performance according to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance; and visually displaying the calculation result, and responding to the triggering early warning threshold value and sending an early warning signal.
Description
Nuclear energy engineering purchasing performance measuring device and method Technical Field The application relates to the technical field of nuclear energy engineering management, in particular to a nuclear energy engineering procurement performance measuring device and method. Background The nuclear energy engineering is used as a core infrastructure in the field of clean energy, and the design, purchasing and construction integrated (EPC) project has the remarkable characteristics of long construction period, complex supply chain, severe technical standard and extremely high safety requirement. The purchasing link is taken as a core component of the nuclear energy engineering EPC project and directly relates to the construction quality, the propulsion progress, the cost control and the safety compliance of the project. Therefore, the performance measurement of the purchasing work is scientific, comprehensive and accurate, and is a key link for ensuring the smooth pushing of nuclear energy engineering EPC projects, effectively controlling cost and risk and ensuring the safety and stability of the projects. Currently, nuclear engineering procurement performance measurement generally adopts a "cost-progress" two-dimensional management and control mode. The mode is only focused on the cost consumption and progress promotion conditions in the purchasing process of the nuclear energy engineering, so that the purchasing performance measurement result of the nuclear energy engineering is one-sided, and the actual effect of purchasing work of the nuclear energy engineering cannot be comprehensively reflected. Disclosure of Invention The application aims to provide a nuclear energy engineering purchasing performance measuring device and method, which can reduce the purchasing cost and risk of nuclear energy engineering. In a first aspect, the present application provides a nuclear energy engineering procurement performance measurement apparatus, including: the system comprises a data acquisition module, a detection system, an enterprise resource planning system, a supply chain management system and a project management platform, wherein the data acquisition module is used for acquiring purchasing whole-flow key data of nuclear engineering through a data interface; The risk coefficient dynamic measuring and calculating module is used for calculating a risk coefficient according to the purchasing whole-flow key data; The quality coefficient grading module is in butt joint with a third party detection mechanism system through a data interface and is used for acquiring detection report grade and acceptance data from the third party detection mechanism system and calculating a quality coefficient according to the purchasing whole-flow key data, the detection report grade and the acceptance data; The performance comprehensive calculation module is used for calculating purchasing entity performance, purchasing management performance and purchasing subcontracting performance according to the purchasing whole-flow key data, the risk coefficient and the quality coefficient respectively, and calculating purchasing total performance according to the purchasing entity performance, the purchasing management performance and the purchasing subcontracting performance; And the result output and early warning module is used for visually displaying the calculation result of the performance comprehensive calculation module and responding to the triggering early warning threshold value to send an early warning signal. In a possible implementation manner, the calculating a risk coefficient according to the purchasing whole-process key data includes: identifying risk events based on keyword matching and a rule engine according to the purchasing whole-flow key data and a risk knowledge base; Acquiring a risk type, a risk loss probability, an influence degree and controllability corresponding to the risk event, wherein the influence degree is obtained by calculating according to the actual influence degree of the risk event on a purchasing project cost control target, the interference degree of the risk event on a purchasing project plan progress and the damage degree of the risk event on the quality standard condition of a purchasing product; And calculating the risk coefficient according to the risk type, the risk loss probability, the influence degree and the controllability. In a possible implementation manner, the risk coefficient dynamic measurement module is further configured to: Training a machine learning model using historical risk data, wherein any one or more of the risk loss probability, the degree of influence, and the controllability are obtained using the trained machine learning model; and updating the risk knowledge base. In a possible implementation manner, the calculating the quality coefficient according to the purchasing whole-flow key data, the detection report level and the acceptance data includes: Obtaining nod