A hybrid approach for performance evaluation and optimized selection of recoverable end-of-life products in the reverse supply chain

2016 ◽  
Vol 98 ◽  
pp. 171-184 ◽  
Author(s):  
Kai Meng ◽  
Peihuang Lou ◽  
Xianghui Peng ◽  
Victor Prybutok
2019 ◽  
Vol 9 (23) ◽  
pp. 5195 ◽  
Author(s):  
Linh Thi Truc Doan ◽  
Yousef Amer ◽  
Sang-Heon Lee ◽  
Phan Nguyen Ky Phuc ◽  
Luu Quoc Dat

Electronic waste (e-waste) has become one of the fastest-growing waste, leading a globe issue. Reverse supply chain (RSC) is considered a potential way for e-waste management. Over the last two decades, RSC has received significant attention from industries, governments, experts, and researchers. A large number of studies have been published in the field of e-waste RSC. Most of the existing review papers concentrated on the general RSC models for all types of returned products. However, the review papers focusing on specific products, such as e-waste, are quite limited. To fill this gap published papers in the area of RSC for a specific product, e-waste, from 1999 to 2019 have been selected for review and analysis in this study. E-waste RSC studies have been divided into four main groups, namely, factors of implementation, performance evaluation and decision making, foresting product returns, and network design. Finally, some potential directions for e-waste RSC models have been suggested for future research.


Author(s):  
Ahmed Bufardi ◽  
Dimitris Kiritsis

This chapter addresses the main issues that are worth considering when using environmental criteria in a multiple criteria decision making (MCDM) context and provides some guidance for a proper and efficient use of environmental criteria in a MCDM context. Among the main issues considered in this chapter, we can mention the definition and representation of criteria, their weighting, and their selection. The relation of criterion to other notions such as attribute, objective, goal, and indicator is also explained. Regarding the environmental criteria, we emphasize their main characteristics and indicate how these characteristics can support the users in selecting appropriate MCDM methods. An illustrative example about the selection of the best scenario for the treatment of a vacuum cleaner at the end of its life cycle is given. It shows the type of reverse supply chain problems in which environmental criteria can be used to evaluate and compare alternatives.


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