Optimizing a Reverse Supply Chain Network for Electronic Waste under Risk and Uncertain Factors

Applied Sciences

ThamThi Tran¹  PhanNguyen Ky Phuc²  LinhThi Truc Doan³  Sang-Heon Lee³  Yousef Amer³ 

[1] Department of Industrial Management, Can Tho University, Can Tho 900000, Vietnam;Department of Industrial System Engineering, Ho Chi Minh International University, Ho Chi Minh 700000, Vietnam;UniSA STEM, University of South Australia, 101 Currie St, Adelaide SA 5001, Australia;

关键词: electronic waste;    fuzzy mixed integer linear programming;    e-waste reverse supply chain;    risk and uncertainty;   

DOI  :  10.3390/app11041946

来源: DOAJ

【 摘 要 】

Minimizing the impact of electronic waste (e-waste) on the environment through designing an effective reverse supply chain (RSC) is attracting the attention of both industry and academia. To obtain this goal, this study strives to develop an e-waste RSC model where the input parameters are fuzzy and risk factors are considered. The problem is then solved through crisp transformation and decision-makers are given the right to choose solutions based on their satisfaction. The result shows that the proposed model provides a practical and satisfactory solution to compromise between the level of satisfaction of constraints and the objective value. This solution includes strategic and operational decisions such as the optimal locations of facilities (i.e., disassembly, repairing, recycling facilities) and the flow quantities in the RSC.

【 授权许可】

Unknown