PMID- 35598545
OWN - NLM
STAT- MEDLINE
DCOM- 20220602
LR  - 20220602
IS  - 1879-2456 (Electronic)
IS  - 0956-053X (Linking)
VI  - 147
DP  - 2022 Jun 15
TI  - Sustainability performance evaluation of the E-waste closed-loop supply chain 
      with the SCOR model.
PG  - 36-47
LID - S0956-053X(22)00239-2 [pii]
LID - 10.1016/j.wasman.2022.05.010 [doi]
AB  - From a sustainability perspective, the performance of a company's supply chain 
      will be satisfactory when it has reached in all aspects a desirable 
      eco-environmentally friendly level. Assessing the sustainability performance in 
      the closed-loop e-waste supply chain becomes vital because its activities are 
      primarily targeted towards sustainability goals related to the process of 
      production, supply, recycling, and disposal of electrical components. This study 
      evaluates the performance of e-waste supply chain sustainability and identifies 
      its performance indicators as a framework for evaluating supply chain performance 
      using the Best-Worst Method (BWM), which is a multi-criteria decision-making 
      (MCDM) approach. For this, the supply chain operations reference (SCOR) model is 
      considered the basic performance evaluation reference. Moreover, through 
      reviewing the literature, the complementary indicators of this model, especially 
      in terms of sustainability, are added to the performance evaluation indices using 
      the Nominal Group Technique (NGT). After specifying and forming a performance 
      evaluation hierarchy, the BWM method is used to determine the criteria score. The 
      results of implementing the framework on some well-known supply chains in New 
      Zealand indicate that the attributes of "Costs," "Quality," and "GreenScor" are 
      crucial for achieving high performance, while in this developed country, there is 
      less concern about social issues.
CI  - Copyright (c) 2022 Elsevier Ltd. All rights reserved.
FAU - Jain, Vipul
AU  - Jain V
AD  - Wellington School of Business and Government, Victoria University of Wellington, 
      Wellington, New Zealand. Electronic address: vipul.jain@vuw.ac.nz.
FAU - Kumar, Sameer
AU  - Kumar S
AD  - Opus College of Business, Department of Operations and Supply Chain Management, 
      University of St. Thomas, Minneapolis, MN 55403, USA. Electronic address: 
      skumar@stthomas.edu.
FAU - Mostofi, Amirhossein
AU  - Mostofi A
AD  - Wellington School of Business and Government, Victoria University of Wellington, 
      Wellington, New Zealand. Electronic address: mostofiamirhossein@gmail.com.
FAU - Arab Momeni, Mojtaba
AU  - Arab Momeni M
AD  - Department of Industrial Engineering, Jam Faculty of Engineering, Persian Gulf 
      University, Bushehr, Iran. Electronic address: mojtaba.mam.sut@gmail.com.
LA  - eng
PT  - Journal Article
DEP - 20220519
PL  - United States
TA  - Waste Manag
JT  - Waste management (New York, N.Y.)
JID - 9884362
SB  - IM
MH  - Costs and Cost Analysis
MH  - Electricity
MH  - *Electronic Waste
MH  - Recycling/methods
OTO - NOTNLM
OT  - Best-Worst Method
OT  - E-waste supply chain
OT  - Performance management
OT  - SCOR reference model
OT  - Sustainability
EDAT- 2022/05/23 06:00
MHDA- 2022/06/03 06:00
CRDT- 2022/05/22 18:20
PHST- 2021/12/16 00:00 [received]
PHST- 2022/05/10 00:00 [revised]
PHST- 2022/05/11 00:00 [accepted]
PHST- 2022/05/23 06:00 [pubmed]
PHST- 2022/06/03 06:00 [medline]
PHST- 2022/05/22 18:20 [entrez]
AID - S0956-053X(22)00239-2 [pii]
AID - 10.1016/j.wasman.2022.05.010 [doi]
PST - ppublish
SO  - Waste Manag. 2022 Jun 15;147:36-47. doi: 10.1016/j.wasman.2022.05.010. Epub 2022 
      May 19.