Evaluating reverse supply chain efficiency: manufacturer's perspective

The paper aims to illustrate the use of fuzzy data envelopment analysis (DEA) in analyzing reverse supply chain (RSC) performance from the manufacturer’s perspective. By using an alternative α -cut approach, the fuzzy DEA model was converted into a crisp linear programming problem, thereby altering...

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Main Authors: Kumar, Manasvi, Tiwari, Manoj Kumar, Wong, Kuan Yew, Govindan, Kannan, Kuah, Chuen Tse
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出版: Hindawi Publishing Corporation 2014
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在線閱讀:http://eprints.utm.my/id/eprint/52751/
http://dx.doi.org/10.1155/2014/901914
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spelling my.utm.527512018-06-30T00:44:41Z http://eprints.utm.my/id/eprint/52751/ Evaluating reverse supply chain efficiency: manufacturer's perspective Kumar, Manasvi Tiwari, Manoj Kumar Wong, Kuan Yew Govindan, Kannan Kuah, Chuen Tse TJ Mechanical engineering and machinery The paper aims to illustrate the use of fuzzy data envelopment analysis (DEA) in analyzing reverse supply chain (RSC) performance from the manufacturer’s perspective. By using an alternative α -cut approach, the fuzzy DEA model was converted into a crisp linear programming problem, thereby altering the problem to an interval programming one. The model is able to obtain precise and robust efficiency values. An investigation was also made between the obtained efficiency scores and certain relevant background information of the companies. The study revealed that while ISO 14001 certification usually ensures an environmentally friendly supply chain network, companies which have implemented RSC techniques since a longer duration do not necessarily have a more efficient supply chain in general. Hindawi Publishing Corporation 2014 Article PeerReviewed Kumar, Manasvi and Tiwari, Manoj Kumar and Wong, Kuan Yew and Govindan, Kannan and Kuah, Chuen Tse (2014) Evaluating reverse supply chain efficiency: manufacturer's perspective. Mathematical Problems in Engineering . ISSN 1024-123X http://dx.doi.org/10.1155/2014/901914 DOI: 10.1155/2014/901914
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Kumar, Manasvi
Tiwari, Manoj Kumar
Wong, Kuan Yew
Govindan, Kannan
Kuah, Chuen Tse
Evaluating reverse supply chain efficiency: manufacturer's perspective
description The paper aims to illustrate the use of fuzzy data envelopment analysis (DEA) in analyzing reverse supply chain (RSC) performance from the manufacturer’s perspective. By using an alternative α -cut approach, the fuzzy DEA model was converted into a crisp linear programming problem, thereby altering the problem to an interval programming one. The model is able to obtain precise and robust efficiency values. An investigation was also made between the obtained efficiency scores and certain relevant background information of the companies. The study revealed that while ISO 14001 certification usually ensures an environmentally friendly supply chain network, companies which have implemented RSC techniques since a longer duration do not necessarily have a more efficient supply chain in general.
format Article
author Kumar, Manasvi
Tiwari, Manoj Kumar
Wong, Kuan Yew
Govindan, Kannan
Kuah, Chuen Tse
author_facet Kumar, Manasvi
Tiwari, Manoj Kumar
Wong, Kuan Yew
Govindan, Kannan
Kuah, Chuen Tse
author_sort Kumar, Manasvi
title Evaluating reverse supply chain efficiency: manufacturer's perspective
title_short Evaluating reverse supply chain efficiency: manufacturer's perspective
title_full Evaluating reverse supply chain efficiency: manufacturer's perspective
title_fullStr Evaluating reverse supply chain efficiency: manufacturer's perspective
title_full_unstemmed Evaluating reverse supply chain efficiency: manufacturer's perspective
title_sort evaluating reverse supply chain efficiency: manufacturer's perspective
publisher Hindawi Publishing Corporation
publishDate 2014
url http://eprints.utm.my/id/eprint/52751/
http://dx.doi.org/10.1155/2014/901914
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score 13.250246