Fuzzy multi-objective model for supplier selection and order allocation in reverse logistics systems under supply and demand uncertainty

作者：

Highlights：

• A new model for supplier selection in a reverse logistics system is developed.

• The proposed model is solved by Monte Carlo simulation and fuzzy goal programming.

• The effectiveness of the modeling approach is demonstrated in a real case study.

• The performance of the solution method in obtaining trade-off solutions is analyzed.

摘要

•A new model for supplier selection in a reverse logistics system is developed.•The proposed model is solved by Monte Carlo simulation and fuzzy goal programming.•The effectiveness of the modeling approach is demonstrated in a real case study.•The performance of the solution method in obtaining trade-off solutions is analyzed.

论文关键词：Reverse logistics systems,Supplier selection,Order allocation,Fuzzy multi-objective optimization,Fuzzy goal programming

论文评审过程：Available online 19 February 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.02.010