Evaluating Reverse Supply Chain Efficiency: Manufacturer’s Perspective | Zendy

M. Raj Kumar | Zendy; Manoj Kumar Tiwari | Zendy; Kuan Yew Wong | Zendy; Kannan Govindan | Zendy; Chuen Tse Kuah | Zendy

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Evaluating Reverse Supply Chain Efficiency: Manufacturer’s Perspective

Author(s) -

M. Raj Kumar,

Manoj Kumar Tiwari,

Kuan Yew Wong,

Kannan Govindan,

Chuen Tse Kuah

Publication year - 2014

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2014/901914

Subject(s) - supply chain , data envelopment analysis , fuzzy logic , reverse logistics , certification , linear programming , operations research , computer science , perspective (graphical) , interval (graph theory) , operations management , mathematical optimization , engineering , business , mathematics , economics , marketing , algorithm , artificial intelligence , management , combinatorics

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.

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