Literature DB >> 33930684

Sustainable collection center location selection in emerging economy for electronic waste with fuzzy Best-Worst and fuzzy TOPSIS.

Muhittin Sagnak1, Yalcin Berberoglu2, İlker Memis2, Ogulcan Yazgan2.   

Abstract

In emerging economies, electronic waste is an important problem, because it negatively affects the health of staff and people, and causes pollution. Moreover, the location of the collection center has a crucial role in sustainable supply chains. Therefore, in this study, a framework was proposed to identify the location of sustainable collection centers for e-waste. The criteria set includes 3 main criteria, and 23 sub-criteria, and 7 different location options. The main criteria cover economic, social, and environmental criteria, which are organized as the Triple-Bottom-Line dimensions. Alternatives are Manisa, Menemen, Gaziemir, Kemalpaşa, Torbalı, Çiğli, and Akhisar. Fuzzy Best-Worst Method (BWM) and Fuzzy TOPSIS methods are used to calculate the weights of criteria and rankings of the alternatives, respectively. Transportation cost was found as the most important criterion for sustainable collection center selection, followed by collection cost, storage/holding cost, land cost, greenhouse gas emissions, energy cost, tax, and investment cost, respectively. Among other alternatives, Çiğli was found as the best alternative for sustainable collection center, followed by Gaziemir, and Manisa. Managerial implications were presented based on the findings.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Circular economy; Electronic waste; Fuzzy TOPSIS; Fuzzy best-worst method; Sustainable collection center location problem

Year:  2021        PMID: 33930684     DOI: 10.1016/j.wasman.2021.03.054

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  A novel model for sustainable waste collection arc routing problem: Pareto-based algorithms.

Authors:  Erfan Babaee Tirkolaee; Alireza Goli; Selma Gütmen; Gerhard-Wilhelm Weber; Katarzyna Szwedzka
Journal:  Ann Oper Res       Date:  2022-01-19       Impact factor: 4.854

2.  A multi-criteria decision-making framework for electric vehicle supplier selection of government agencies and public bodies in China.

Authors:  Qiushuang Wei; Chao Zhou
Journal:  Environ Sci Pollut Res Int       Date:  2022-09-09       Impact factor: 5.190

  2 in total

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