CN-121981839-A - Intra-enterprise mining cost optimization decision support system based on big data analysis

CN121981839ACN 121981839 ACN121981839 ACN 121981839ACN-121981839-A

Abstract

The invention discloses an enterprise internal acquisition cost optimization decision support system based on big data analysis, which comprises a data aggregation and integration module, a purchasing behavior feature extraction module, a cost driving factor deconstructing module, a supply Shang Duo dimension evaluation module, a purchasing strategy intelligent customization module, an enterprise purchasing data warehouse and an enterprise purchasing monitoring end, wherein purchasing strategies suitable for enterprises are intelligently generated by integrating purchasing behavior features, cost driving factors and supplier evaluation results, so that purchasing cost composition and dynamic change can be accurately obtained, scientific and reasonable purchasing decision suggestions are provided for the enterprises, purchasing cost is effectively reduced, and potential problems can be timely found and solved by monitoring and evaluating and feeding back the execution effect of the purchasing strategies in real time, purchasing efficiency and quality are improved, optimization of purchasing cost and maximization of overall benefit are realized, purchasing supervision difficulty of the enterprises is remarkably reduced, and the intelligent level is high.

Inventors

YI YONGQIANG
ZHANG SHENGYU
HE WEN
ZHENG HONG
LIU YINGJUN
LI YINAN
YUAN ZAIXIN

Assignees

南方电网互联网服务有限公司

Dates

Publication Date: 20260505
Application Date: 20251210

Claims (10)

1. The enterprise mining cost optimization decision support system based on big data analysis is characterized by comprising the following components: the data aggregation and integration module is used for collecting purchasing data from an enterprise internal system, cleaning, converting and integrating the collected purchasing data and storing the purchasing data in an enterprise purchasing data warehouse; the purchasing behavior feature extraction module is used for mining the feature mode of purchasing behavior of the enterprise and transmitting purchasing behavior feature data to the purchasing strategy intelligent customization module; the cost driving factor deconstructing module is used for analyzing key driving factors influencing the purchasing cost of enterprises and transmitting the cost driving factor data obtained by analysis to the purchasing strategy intelligent customizing module; The supplier multidimensional evaluation module is used for comprehensively and comprehensively evaluating the existing suppliers of the enterprises and transmitting the supplier multidimensional evaluation results obtained by evaluation to the purchasing strategy intelligent customization module; And the purchase strategy intelligent customizing module is used for intelligently generating a purchase strategy suitable for an enterprise by integrating the purchase behavior characteristics, the cost driving factors and the provider evaluation results and transmitting the generated purchase strategy to an enterprise purchase monitoring end.
2. The system for optimizing decision support of in-enterprise mining cost based on big data analysis of claim 1, wherein the data aggregation and integration module establishes data connection with a purchasing management system, a financial system, an inventory management system and the like of the enterprise, and is used for acquiring purchasing order information, purchasing invoice data, inventory dynamic data and supplier basic information, and storing the purchasing order information, the purchasing invoice data, the inventory dynamic data and the supplier basic information in an enterprise purchasing data warehouse after cleaning, conversion and integration.
3. The system for optimizing decision support of intra-enterprise mining costs based on big data analysis of claim 1, wherein the mining of the characteristic pattern of the purchasing behavior of the enterprise comprises extracting purchasing data from a purchasing data warehouse, classifying purchasing items by a clustering algorithm, and mining the purchasing behavior pattern by an association rule mining algorithm.
4. The system for optimizing decision support of in-enterprise acquisition costs based on big data analysis of claim 1, wherein analyzing key drivers that affect the purchase costs of the enterprise comprises analyzing correlations of transportation costs, inventory costs and influencing factors using regression models, and identifying key drivers that affect the purchase costs of the enterprise.
5. The system for optimizing decision support of in-enterprise mining cost based on big data analysis of claim 1, wherein the step of comprehensively evaluating the existing suppliers of the enterprise comprises constructing a supplier evaluation index system comprising quality indexes, delivery indexes, price indexes and service indexes, and outputting a supplier grading result by combining a analytic hierarchy process and a fuzzy comprehensive evaluation process.
6. The enterprise internal acquisition cost optimization decision support system based on big data analysis of claim 1, wherein the comprehensive purchasing behavior feature, cost driver and supplier evaluation result intelligently generate purchasing strategies suitable for the enterprise and send the generated purchasing strategies to an enterprise purchasing monitor end, comprising: The method comprises the steps of receiving purchasing behavior feature data output by a purchasing behavior feature extraction module, cost driving factor data output by a cost driving factor deconstructing module and a supplier multidimensional evaluation result output by a supplier multidimensional evaluation module, constructing a purchasing strategy decision model by combining purchasing targets and strategies of enterprises and using a decision tree algorithm, and carrying out branch judgment in a decision tree according to different purchasing behavior features, cost driving factors and supplier evaluation results to generate various purchasing strategy schemes.
7. The system for optimizing decision support of in-enterprise mining cost based on big data analysis of claim 1, wherein the intelligent purchasing strategy customizing module is in communication connection with a real-time decision effect feedback module, and the real-time decision effect feedback module monitors and evaluates the execution effect of purchasing strategy in real time and feeds back the decision effect to the enterprise purchasing monitoring end and the intelligent purchasing strategy customizing module.
8. The system for optimizing decision support of in-enterprise acquisition cost based on big data analysis of claim 7, wherein the decision achievement real-time feedback module is used for obtaining actual purchasing data after purchasing strategy execution, calculating purchasing cost reduction amplitude, purchasing efficiency improvement degree and delivery time rate change by comparing with a preset target, dynamically monitoring deviation by a control diagram method and feeding back to an enterprise purchasing monitoring end and a purchasing strategy intelligent customizing module.
9. The system for optimizing decision support of in-enterprise mining cost based on big data analysis of claim 1, wherein the enterprise purchasing supervision terminal is in communication connection with a purchasing personnel monitoring and evaluating module, and the purchasing personnel monitoring and evaluating module is used for monitoring and evaluating purchasing performances of all purchasing personnel of the enterprise in a purchasing period, generating a signal for optimizing purchasing personnel or a purchasing qualification signal, and sending the signal to the enterprise purchasing supervision terminal.
10. The system for optimizing decision support of in-enterprise mining cost based on big data analysis of claim 9, wherein the purchasing personnel monitoring and evaluating module is used for collecting the number of times of purchasing personnel violating rules, the value of damage caused by rules, contract dispute rate, supply risk unidentified value and emergency purchasing times in the purchasing period, carrying out weighted summation calculation to obtain a purchasing monitoring evaluation value, and generating a signal to be optimized of purchasing personnel and pushing the signal to an enterprise purchasing monitoring end when the purchasing evaluation value exceeds a preset purchasing monitoring evaluation threshold.

Description

Intra-enterprise mining cost optimization decision support system based on big data analysis Technical Field The invention relates to the technical field of enterprise management, in particular to an enterprise internal acquisition cost optimization decision support system based on big data analysis. Background In enterprise operation, the internal purchasing cost occupies a significant position, is directly related to profit space, market competitiveness and sustainable development capability of an enterprise, purchasing data of the enterprise are distributed in multiple departments and systems at present to form data islands, so that information of each department is unsmooth, the enterprise is difficult to comprehensively control purchasing cost to influence decision making, in the decision making process, the traditional mode depends on experience of purchasing personnel, scientificity and objectivity are lacked, key factors are easily ignored, cost optimization opportunities are missed, and purchasing schemes are difficult to comprehensively analyze; Along with the development of information technology, big data technology develops by virtue of characteristics such as mass, diversity, high speed, low value density and the like, and at present, enterprise assessment is generally assisted by big data analysis to carry out internal purchasing decision, however, the existing purchasing decision support system has obvious defects, usually only pays attention to a special link of a purchasing flow, lacks comprehensive management of the whole life cycle of purchasing cost, has limited data sources, does not integrate external information, lacks comprehensiveness and foresight of decision advice, has low intelligent degree, is difficult to adapt to internal changes of markets and enterprises, and has insufficient accuracy and reliability of decision results. Disclosure of Invention In order to overcome the defects in the prior art, the invention provides an enterprise mining cost optimization decision support system based on big data analysis. The technical scheme adopted by the invention for solving the technical problems is that the enterprise internal acquisition cost optimization decision support system based on big data analysis comprises: the data aggregation and integration module is used for collecting purchasing data from an enterprise internal system, cleaning, converting and integrating the collected purchasing data and storing the purchasing data in an enterprise purchasing data warehouse; the purchasing behavior feature extraction module is used for mining the feature mode of purchasing behavior of the enterprise and transmitting purchasing behavior feature data to the purchasing strategy intelligent customization module; the cost driving factor deconstructing module is used for analyzing key driving factors influencing the purchasing cost of enterprises and transmitting the cost driving factor data obtained by analysis to the purchasing strategy intelligent customizing module; The supplier multidimensional evaluation module is used for comprehensively and comprehensively evaluating the existing suppliers of the enterprises and transmitting the supplier multidimensional evaluation results obtained by evaluation to the purchasing strategy intelligent customization module; And the purchase strategy intelligent customizing module is used for intelligently generating a purchase strategy suitable for an enterprise by integrating the purchase behavior characteristics, the cost driving factors and the provider evaluation results and transmitting the generated purchase strategy to an enterprise purchase monitoring end. The invention further improves that the data aggregation and integration module establishes data connection with a purchase management system, a financial system, an inventory management system and the like of an enterprise, is used for acquiring purchase order information, purchase invoice data, inventory dynamic data and supplier basic information, and is stored in an enterprise purchase data warehouse after cleaning, conversion and integration. The method is further improved in that the feature mode of the purchasing behavior of the enterprise is mined, and the method comprises the steps of extracting purchasing data from a purchasing data warehouse, classifying purchasing items through a clustering algorithm, and mining the purchasing behavior mode by utilizing an association rule mining algorithm. As a further improvement of the method, the analysis of the key driving factors affecting the purchasing cost of the enterprise comprises the steps of adopting a regression model to analyze the correlation between the transportation cost, the inventory cost and the affecting factors and identifying the key driving factors affecting the purchasing cost of the enterprise. The method is further improved by comprehensively and comprehensively evaluating the existing suppliers of the enterprises,