The Research On Supplier Evaluation Based On Information Entropy And DEA Cross-efficiency

With the advent of market competition, the suppliers as a vital link in a manufacturing enterprise supply chain, play an increasingly important role in the overall development of enterprise. Supplier selection is the foundation of supply chain partnership operation. For the production-oriented enterprises, suppliers’pros and cons will directly affect the product cost and quality, delivery time, overall performance of supply chain. Supplier selection is directly related to the core enterprise in the supply chain procurement quality, affect the market competitiveness of enterprises. So studying the supplier selection method, has important theoretical and practical significance.There are a lot of decision-making methods for supplier selection, the thesis proposed the methods based on information entropy and DEA cross-efficiency after analyzed a wide range of traditional methods. The method can fully utilize the model information of DEA cross-efficiency, quantitatively combine the each model of DEA cross-efficiency, to some extent, overcome the error because of the single DEA cross-efficiency model, making the results of the evaluation more objective. Finally, carrying on a real example analyzes the selection of suppliers, through modeling and calculation, has determined the entropy weight of the models and the sequence of optional suppliers. Then can determine the partners. That also can be shown that the method has practical significance and strong operational. In addition, the thesis also believes while the enterprises selected suppliers should be bases on the actual situation, and timely adjustment of the evaluation criteria and evaluation methods, making the decision-making suit to the environment, and better guides the development of enterprise.