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Supplier Evaluation in Green Supply Chain: An Adaptive Weight D-S Theory Model Based on Fuzzy-Rough-Sets-AHP Method

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초록

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such aseconomic globalization, sustainable development, a holistic index framework is difficult to establish in greensupply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertaintyand incompleteness and the index weight is variable. To solve these problems, an index framework is establishedafter comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is putforward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paperis feasible and effective.

Abstract

Supplier evaluation is of great significance in green supply chain management. Influenced by factors such aseconomic globalization, sustainable development, a holistic index framework is difficult to establish in greensupply chain. Furthermore, the initial index values of candidate suppliers are often characterized by uncertaintyand incompleteness and the index weight is variable. To solve these problems, an index framework is establishedafter comprehensive consideration of the major factors. Then an adaptive weight D-S theory model is putforward, and a fuzzy-rough-sets-AHP method is proposed to solve the adaptive weight in the index framework. The case study and the comparison with TOPSIS show that the adaptive weight D-S theory model in this paperis feasible and effective.

참고문헌 (31)

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