基于模糊随机层次分析法的供应商可持续评估模型改进

An Improved Sustainable Supplier Evaluation Model Based on Stochastic Analytical Hierarchy Process Method and Fuzzy Set Theory

摘要:

利用第三方供应商可持续性评估平台，跨国企业能够更有效监督全球范围内的供应商在可持续发展中做出的努力与改进.在使用第三方平台评估供应商可持续性表现时，发现用于评价和处理指标权重和供应商指标得分的方法缺乏精确度.为此，提出采用随机层次分析法和三角模糊数理论对评估模型进行优化.为检验改进模型的有效性，采用企业实际案例，对比分析原始模型与改进模型的评估结果，发现改进模型能够将供应商可持续性表现有效差异化，得到区分度较明显的评价排序.

Abstract:

Based on a thirdparty platform for evaluating supplier sustainability, transnational companies can effectively monitor how much efforts and improvements their global suppliers have made in sustainability. However, methods on the basis of the platform for evaluating and calculating the weights of indexes and values suffered from a lack of accuracy. A stochastic analytical hierarchy process (SAHP) method and the triangular fuzzy number were adopted to optimize the evaluation model. Besides, a practical case about the sustainability assessment of suppliers was analyzed by the original method and the improved method separately. The comparative results show that the proposed model successfully differentiates the sustainable performance of suppliers and obtains a distinct rank.