Development of a framework for selecting a sustainable location of waste electrical and electronic equipment recycling plant in emerging economies

被引:39
作者
Kumar, Ashwani [1 ]
Wasan, Pratibha [2 ]
Luthra, Sunil [3 ]
Dixit, Gaurav [4 ]
机构
[1] Indian Inst Management, Dept Operat Management, Rohtak, Haryana, India
[2] Jaipuria Inst Management, Dept Financial Studies, Noida, India
[3] Ch Ranbir Singh State Inst Engn & Technol, Dept Mech Engn, Jhajjar, Haryana, India
[4] Indian Inst Technol, Dept Management Studies, Roorkee, Uttar Pradesh, India
关键词
WEEE; STEEP; Recycling plant; Emerging economies; BWM; VIKOR; MULTICRITERIA DECISION-MAKING; LANDFILL SITE SELECTION; MUNICIPAL SOLID-WASTE; GEOGRAPHIC INFORMATION-SYSTEMS; MULTI CRITERIA APPROACH; FUZZY AHP; SUPPLIER SELECTION; INCINERATION PLANT; GREEN INNOVATION; COMBINING GIS;
D O I
10.1016/j.jclepro.2020.122645
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Benefits of recycling will be mitigated if the recycling plant location is not aligned with the sustainability principles. The present study aims to build a guiding framework for managers and policymakers in selecting a sustainable location for Waste Electrical and Electronic Equipment (WEEE) recycling plant. It uses a case study approach and a three-phase novel methodology which includes Best-Worst Method (BWM) to rank the criteria for a sustainable plant location and VIsekriterijumska optimisacija i KOm-promisno Resenje (VIKOR) to rank the recycling candidate locations present in the case. The results indicate that environmental and natural criteria like, distance from the residential areas and water bodies, and biodiversity conservation are the most significant considerations for a sustainable plant location. Policy and legal criteria like, support from local authorities and financial support, ranked as the second while, economical aspects like, proximity to the waste collection point, and slope ranked as the third best criteria for decision on a sustainable recycling plant location. The study established the consistency and robustness of the results by performing two sets of sensitivity analysis. One by changing the weight specified for the main criteria and the other, by modifying the weight specified for a specific expert. The study will facilitate WEEE recycling companies in their decision making for facility location and also, the policy makers in increasing the effectiveness of the national WEEE management policy, by providing insights on the sustainability factors for recycling plant locations around which incentives can be built and disclosure regulations be designed. (C) 2020 Elsevier Ltd. All rights reserved.
引用
收藏
页数:18
相关论文
共 115 条
  • [1] ZBWM: The Z-number extension of Best Worst Method and its application for supplier development
    Aboutorab, Hamed
    Saberi, Morteza
    Asadabadi, Mehdi Rajabi
    Hussain, Omar
    Chang, Elizabeth
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2018, 107 : 115 - 125
  • [2] Evaluating suppliers to include green supplier development programs via fuzzy c-means and VIKOR methods
    Akman, Gulsen
    [J]. COMPUTERS & INDUSTRIAL ENGINEERING, 2015, 86 : 69 - 82
  • [3] A Hybrid Hesitant Fuzzy Decision-Making Approach for Evaluating Solar Power Plant Location Sites
    Aktas, Ahmet
    Kabak, Mehmet
    [J]. ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2019, 44 (08) : 7235 - 7247
  • [4] Solar PV power plant site selection using a GIS-AHP based approach with application in Saudi Arabia
    Al Garni, Hassan Z.
    Awasthi, Anjali
    [J]. APPLIED ENERGY, 2017, 206 : 1225 - 1240
  • [5] Al-Shabeeb AR, 2016, International Journal of Geosciences, V7, P1208, DOI [10.4236/ijg.2016.710090, DOI 10.4236/IJG.2016.710090]
  • [6] Alam S., 2019, WASTE MANAGEMENT RES, P109
  • [7] Large scale PV sites selection by combining GIS and Analytical Hierarchy Process. Case study: Eastern Morocco
    Alami Merrouni, Ahmed
    Elwali Elalaoui, Fakhreddine
    Mezrhab, Ahmed
    Mezrhab, Abdelhamid
    Ghennioui, Abdellatif
    [J]. RENEWABLE ENERGY, 2018, 119 : 863 - 873
  • [8] Municipal solid waste landfill site selection with geographic information systems and analytical hierarchy process: a case study in Mahshahr County, Iran
    Alavi, Nadali
    Goudarzi, Gholamreza
    Babaei, Ali Akbar
    Jaafarzadeh, Nemat
    Hosseinzadeh, Mohsen
    [J]. WASTE MANAGEMENT & RESEARCH, 2013, 31 (01) : 98 - 105
  • [9] Selection of renewable energy technologies for a developing county: A case of Pakistan
    Amer, Muhammad
    Daim, Tugrul U.
    [J]. ENERGY FOR SUSTAINABLE DEVELOPMENT, 2011, 15 (04) : 420 - 435
  • [10] [Anonymous], 2006, INFOR INF SYST OPER