Azadnia, Amir Hossein and Onofrei, George and Ghadimi, Pezhman
(2021)
Electric vehicles lithium-ion batteries reverse logistics implementation barriers analysis: A TISM-MICMAC approach.
Resources, Conservation and Recycling, 174.
p. 105751.
ISSN 09213449
Abstract
End of life (EoL) management of the electric vehicles lithium-ion batteries (EVs-LIBs) has become a vital part of circular economy practices, especially in the European Union (EU). Consequently, manufacturers must develop EoL management of EVs-LIBs through reverse logistics (RLs) activities, which are bounded with many implementation barriers. Although several studies have been accomplished for RLs barrier analysis in various industries, less attention has been devoted to identifying and systematically analysing barriers of EVs-LIBs RLs. The purpose of this study is to identify a comprehensive list of the main barriers to the successful implementation of EVs-LIBs RLs practices. Based on the inputs from European industrial experts, an integrated approach of Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) was applied to develop a hierarchical model based on the defined barrier categories. Finally, the most dominant barrier categories to the successful implementation of RLs activities for EVs-LIBs were prioritised to provide insights to industrial decision-makers and policymakers. Data were gathered using a questionnaire survey, which was distributed to various experts in EVs-LIBs manufacturing/recycling and EVs manufacturing companies. The findings revealed that ‘market and social’, and ‘policy and regulations’ categories are the two most influencing barriers to the implementation of EVs-LIBs RLs. This study lays the foundation for future research on the RLs activities for EVs-LIBs in a time that EU regulations on the circular economy are mandating all auto manufacturing companies to deal with their EoL wastes.
| Item Type: |
Article
|
| Keywords: |
Electric vehicle batteries;
Reverse logistics;
Barrier analysis;
Total interpretive structural modelling;
MICMAC; |
| Academic Unit: |
Faculty of Social Sciences > School of Business |
| Item ID: |
17150 |
| Identification Number: |
https://doi.org/10.1016/j.resconrec.2021.105751 |
| Depositing User: |
Amir Azadnia
|
| Date Deposited: |
08 May 2023 09:36 |
| Journal or Publication Title: |
Resources, Conservation and Recycling |
| Publisher: |
Elseveir |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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