ORCID Profile
0000-0001-9373-5951
Current Organisations
University of South Australia
,
Can Tho University
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Publisher: Science Publications
Date: 04-2017
Publisher: Elsevier BV
Date: 06-2012
Publisher: MDPI AG
Date: 29-11-2019
DOI: 10.3390/APP9235195
Abstract: 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 ided 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.
Publisher: IEEE
Date: 07-2019
Publisher: MDPI AG
Date: 23-02-2021
DOI: 10.3390/APP11041946
Abstract: 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.
Publisher: Springer International Publishing
Date: 28-10-2020
Publisher: IEEE
Date: 07-2019
Publisher: OSCM Forum
Date: 13-06-2018
DOI: 10.31387/OSCM0320211
Publisher: Elsevier BV
Date: 12-2019
Publisher: IEEE
Date: 07-2019
Publisher: IEEE
Date: 04-2022
Publisher: Informa UK Limited
Date: 17-10-2023
Location: Taiwan, Province of China
No related grants have been discovered for Linh Doan.