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Triple bottom line performance evaluation of reverse logistics

Saurabh Agrawal (Mechanical, Production & Industrial Engineering Department, Delhi Technological University, Delhi, India)
Rajesh Kr Singh (Mechanical, Production & Industrial Engineering Department, Delhi Technological University, Delhi, India)
Qasim Murtaza (Mechanical, Production & Industrial Engineering Department, Delhi Technological University, Delhi, India)

Competitiveness Review

ISSN: 1059-5422

Article publication date: 16 May 2016

3471

Abstract

Purpose

The paper aims to incorporate the relationship of reverse logistics into the economic, environmental, and social sustainability, known as triple bottom line and developed a framework for reverse logistics performance evaluation.

Design/methodology/approach

The performance measures, based on triple bottom line approach, were selected, and fuzzy analytical hierarchy process and extent analysis approach was applied for estimating the weights, global weights of performance measures and hence, the reverse logistics performance index. Reverse logistics performance of three electronic companies were evaluated and compared for the demonstration of the methodology.

Findings

The results show that economic performance has highest performance index followed by environmental performance and social performance. “Recapturing value” and “return on investment” from economic, “minimum energy consumption” and “optimum use of raw material” from environmental and “community complaints” and “customer health and safety” from social perspective have higher performance indexes. Over all, “reduced packaging”, “use of recycled material” and “employee benefits” show very poor performance indexes.

Research Limitations/implications

The study will provide useful guidance to the academicians and practitioners for evaluating, improving and benchmarking the reverse logistics performance.

Originality/value

The analysis adds to the very few studies on triple bottom line aspects of reverse logistics and its performance evaluation. Also, fuzzy analytical hierarchy process and extent analysis is used first time being an efficient tool to tackle the fuzziness of the data involved in performance evaluation.

Keywords

Acknowledgements

The authors would like to express their special gratitude and would also like to thank electronics industry experts for giving them such attention and time.

Citation

Agrawal, S., Singh, R.K. and Murtaza, Q. (2016), "Triple bottom line performance evaluation of reverse logistics", Competitiveness Review, Vol. 26 No. 3, pp. 289-310. https://doi.org/10.1108/CR-04-2015-0029

Publisher

:

Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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