Optimizing an E-Waste Reverse Supply Chain Model while Incorporating Risk Costs
- 1 Can Tho University, Vietnam
- 2 University of South Australia, Australia
- 3 Ho Chi Minh International University, Vietnam
Copyright: © 2020 Linh Thi Truc Doan, Yousef Amer, Sang- Heon Lee and Phan Nguyen Ky Phuc. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The rapid growth of Electronic Waste (E-waste) in recent years has created serious influences on the environment and society. The highly potential solution to mitigate this issue is the Reverse Supply Chain (RSC) which can reuse and recover E-waste materials. Risks generally derive from a RSC operation such as collection, transportation and treatment risks, but most studies ignore risk effects on the total cost of E-waste treatment in the RSC model. This paper aims to develop a mathematical model for an E-waste RSC considering risk costs. This proposed model applied mixed integer linear programming and solved by a mathematical programming language. An illustrative example is examined to demonstrate the effectiveness of the proposed model. Sensitive analysis is also presented. The results can determine the optimal locations of facilities and the flow of materials or items in a RSC network. Furthermore, the network design decisions have been changed considerably while risk costs are incorporated.
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- Mixed Integer Linear Programming
- Supply Chain Management
- Reverse Logistics
- Risk Costs