Evaluation model of green supply chain cooperation credit based on BP neural network
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S.I. : ATCI 2020
Evaluation model of green supply chain cooperation credit based on BP neural network Jie Chen1 • Shoujun Huang2 Received: 12 May 2020 / Accepted: 5 October 2020 Ó Springer-Verlag London Ltd., part of Springer Nature 2020
Abstract More and more enterprises hope to achieve cooperation and win–win. However, many companies often have problems such as insufficient partner credit, which seriously affects the quality of cooperation. In order to effectively evaluate the credit, this paper constructs a personal credit evaluation model. The model compares the weight adjustment method with BP neural network and other methods. Compared with the BP neural network weight adjustment algorithm, the improved algorithm has obvious advantages in accuracy and convergence speed. The simulation results show that the green supply chain cooperation credit evaluation model can better evaluate the environmental behavior of enterprises. The BP neural network can better solve the problem of slow convergence and premature convergence, and can search data more accurately. The algorithm has good robustness. The evaluation model has high optimization accuracy, which shows that BP neural network can better learn and evaluate the credit of green supply chain at different levels. Keywords Green supply chain Cooperation credit BP neural network Weight adjustment
1 Introduction With the extensive development of global environmental protection and the in-depth publicity of green products, it is precisely because of consumers’ high attention to food safety and the demand for green products that more and more companies have seen business opportunities. At the same time, in order to enhance the company’s own competitiveness, manufacturing companies urgently need to cooperate with upstream raw material suppliers and downstream product distributors to form raw materials supplied by suppliers, products produced by manufacturers, and product supply chains sold by distributors. This supply chain will gradually develop from a small amount of single green products to a large number of green products, and
& Shoujun Huang [email protected] 1
School of Innovation and Entrepreneurship Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2
Lingnan (University) College, Sun Yat-sen University, Guangzhou 510275, Guangdong, China
eventually form a green supply chain network for producing green products. Many research teams have conducted in-depth research on the green supply chain. In [1], the author established a multi-objective fuzzy linear programming model with 17 criteria, formed five taxa, and solved it with hybrid fuzzy multi-objective decision model (MODM). The Green Supplier Choice (GSC) issue is a well-known strategy for outsourcing environmental protection. In [2], the author studied the impact of organizational culture (OC) in the Indian auto parts industry, and tried to propose a model to link OC and TQM in this field. stand up. The mod
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