A comparison of fuzzy DEA and fuzzy TOPSIS in sustainable supplier selection: Implications for sourcing strategy

作者：

Highlights：

• Both fuzzy DEA and fuzzy TOPSIS are applied to a common dataset of logistics service providers.

• TOPSIS outperforms DEA in both calculation complexity and sensitivity to number of suppliers.

• Output rankings from the two models are found to be less than perfectly correlated.

• Utilizing both methods produces a useful pooled shortlist of potential sustainable suppliers.

• The results provide a basis for negotiating price and service quality commitments.

摘要

•Both fuzzy DEA and fuzzy TOPSIS are applied to a common dataset of logistics service providers.•TOPSIS outperforms DEA in both calculation complexity and sensitivity to number of suppliers.•Output rankings from the two models are found to be less than perfectly correlated.•Utilizing both methods produces a useful pooled shortlist of potential sustainable suppliers.•The results provide a basis for negotiating price and service quality commitments.

论文关键词：DEA,TOPSIS,Sourcing,Suppliers,Sustainability,Logistics

论文评审过程：Received 11 September 2018, Revised 7 November 2018, Accepted 16 December 2018, Available online 18 December 2018, Version of Record 22 December 2018.

论文官网地址：https://doi.org/10.1016/j.eswa.2018.12.025