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

Civil Engineering

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