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Research on supply chain partner selection method based on BP neural network
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Research on supply chain partner selection method based on BP neural network
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Research on supply chain partner selection method based on BP neural network
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Journal Article
Research on supply chain partner selection method based on BP neural network
2020
Overview
In the process of establishing supply chain partnership, partner selection is the key and main step. If the enterprise selects the appropriate supply chain partner, in the material equipment unit price, the material equipment production and the supply ability, the product quality appraisal, the brand meets the demand, the new product development ability, has the bad record, the historical project performance, management system and management level, service level, human resource level, internal information processing level, historical cooperation situation, cooperation will, corporate culture and strategic fit degree, financing support ability, information transmission ability, Enterprise green idea propaganda, product energy consumption or energy consumption ratio, green building project participation in construction, environmental protection and energy-saving product development investment, toxic and harmful raw materials use, green matter The use of flowing green packaging, the use of recycled materials/product recycling, and the treatment of industrial “three wastes” will all produce a series of advantages that cannot be matched by traditional relationships. Then, the whole supply chain competitiveness will be improved. This paper studies the selection and evaluation of the partners in the supply chain environment from the point of view of the current research situation of the cooperative relationship in the supply chain environment at home and abroad. Based on the relevant research results at home and abroad, according to certain principles and methods, combined with experts’ evaluation of the future trend of qualitative indicators, a set of evaluation index system of supply chain partners is constructed. The standardized treatment of evaluation index is given. By comparing and analyzing the advantages and disadvantages of the common evaluation methods, the mature BP neural network is applied to the artificial neural network by using the artificial neural network evaluation method. MATLAB software is used to construct neural network. BP neural network is used for training and the trained neural network is used to evaluate an example. The results show that this method can solve the problem of partner selection and evaluation in supply chain environment, and improve the evaluation efficiency.
Publisher
Springer London,Springer Nature B.V
