Supplier Selection And Evaluation Of Company A Based On Entropy Weight Hierarchy And BP Neural Network

With the rapid and high-quality development of China’s auto industry,the auto parts industry as the basis of the auto industry,the industrial chain of the auto parts industry is gradually improving,and the scale of the industry is also expanding.The selection and evaluation of its suppliers by auto parts companies is one of the important tasks in the front end of the automotive supply chain,and it has an important impact on the supply chain management of the entire company.A good supplier evaluation system can well help the company to select and manage suppliers.The company can put forward rectification opinions on the deficiencies of suppliers based on the evaluation results,continuously improve supplier supply quality,and improve enterprise management level.Improve the overall competitiveness of the enterprise.The research object of this article is Company A,which is a representative company in the auto parts industry,mainly engaged in the production and R&D of auto parts,electronic equipment,and vehicle-mounted systems.Due to the variety of auto parts products,most of the secondary parts need to be purchased from suppliers.In this case,due to the incomplete indicators of Company A’s current supplier selection system and the subjectivity of the evaluation rules being too strong,redesigning the system can help Company A to performsupplier management work and improve the company’s efficiency.It can also provide references for other companies in the industry.Based on the research theory of supplier management,this article uses a combination of quantitative and qualitative methods,interviews employees and related professional scholars in A company through expert questionnaires and literature research methods,builds a system of relevant evaluation indicators,and combines literature and Actually determine the evaluation standard of the index,and use the entropy weight analytic hierarchy process to obtain the weight of the corresponding evaluation index.Finally,A company’s automatic transmission filter and small mechanical parts suppliers are used as data samples to establish an evaluation model through BP neural network.Through data training,simulation and prediction,it helps A company to select the best supplier partner.