End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

Fuli Zhou; Ming Lim; Yandong He; Yun Lin; Shan Chen

doi:10.1016/j.jclepro.2019.04.182

End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

Fuli Zhou , Ming Lim, Yandong He , Yun Lin, Shan Chen

Research output: Contribution to journal › Article › peer-review

106 Citations (Scopus)

691 Downloads (Pure)

Abstract

With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer’s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market.

Original language	English
Pages (from-to)	231-243
Number of pages	13
Journal	Journal of Cleaner Production
Volume	228
Early online date	22 Apr 2019
DOIs	https://doi.org/10.1016/j.jclepro.2019.04.182
Publication status	Published - 10 Aug 2019

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, [228], (2019) DOI: 10.1016/j.jclepro.2019.04.182

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

ELV recycling management
Renewable resources
Geographical discrepancy
Driving and dependence power
Interpretive structural model (ISM)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1016/j.jclepro.2019.04.182

Post-PrintAccepted author manuscript, 1.16 MBLicence: CC BY-NC-ND

Cite this

@article{d9431705009c4191aa9c1a12da43575c,

title = "End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach",

abstract = "With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer{\textquoteright}s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market. ",

keywords = "ELV recycling management, Renewable resources, Geographical discrepancy, Driving and dependence power, Interpretive structural model (ISM)",

author = "Fuli Zhou and Ming Lim and Yandong He and Yun Lin and Shan Chen",

note = "NOTICE: this is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, [228], (2019) DOI: 10.1016/j.jclepro.2019.04.182 {\textcopyright} 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

year = "2019",

month = aug,

day = "10",

doi = "10.1016/j.jclepro.2019.04.182",

language = "English",

volume = "228",

pages = "231--243",

journal = "Journal of Cleaner Production",

issn = "0959-6526",

publisher = "Elsevier",

}

TY - JOUR

T1 - End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

AU - Zhou , Fuli

AU - Lim, Ming

AU - He , Yandong

AU - Lin, Yun

AU - Chen , Shan

N1 - NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, [228], (2019) DOI: 10.1016/j.jclepro.2019.04.182 © 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

PY - 2019/8/10

Y1 - 2019/8/10

N2 - With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer’s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market.

AB - With booming of the automobile industry, China has become the country with increasing car ownership all over the world. However, the end-of-life vehicle (ELV) recycling industry is at infancy, and there is little systematic review on ELV recycling management, as well as low adoption amongst domestic automobile industry. This study presents a literature review and an interpretive structural modeling (ISM) approach is employed to identify the drivers towards Chinese ELV recycling business from government, recycling organizations and consumer’s perspectives, so as to improve the sustainability of automobile supply chain by providing some strategic insights. The results derived from the ISM analysis manifest that regulations on auto-factory, disassembly technique, and value mining of recycling business are the essential ingredients. It is most effective and efficient to promote ELV recycling business by improving these attributes, also the driving and dependence power analysis are deemed to provide guidance on performance improvement of ELV recycling in the Chinese market.

KW - ELV recycling management

KW - Renewable resources

KW - Geographical discrepancy

KW - Driving and dependence power

KW - Interpretive structural model (ISM)

UR - http://www.scopus.com/inward/record.url?scp=85064941930&partnerID=8YFLogxK

U2 - 10.1016/j.jclepro.2019.04.182

DO - 10.1016/j.jclepro.2019.04.182

M3 - Article

SN - 0959-6526

VL - 228

SP - 231

EP - 243

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

ER -

End-of-life vehicle (ELV) recycling management: improving performance using an ISM approach

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this