Evaluating Reverse Supply Chain Efficiency : Manufacturer’s Perspective
Joint Authors
Kuah, Chuen Tse
Kannan, Govindan
Tiwari, Manoj Kumar
Kumar, Manasvi
Wong, Kuan Yew
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-07-10
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kumar, Manasvi& Tiwari, Manoj Kumar& Wong, Kuan Yew& Kannan, Govindan& Kuah, Chuen Tse. 2014. Evaluating Reverse Supply Chain Efficiency : Manufacturer’s Perspective. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-506593
Modern Language Association (MLA)
Kumar, Manasvi…[et al.]. Evaluating Reverse Supply Chain Efficiency : Manufacturer’s Perspective. Mathematical Problems in Engineering No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-506593
American Medical Association (AMA)
Kumar, Manasvi& Tiwari, Manoj Kumar& Wong, Kuan Yew& Kannan, Govindan& Kuah, Chuen Tse. Evaluating Reverse Supply Chain Efficiency : Manufacturer’s Perspective. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-506593
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-506593