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Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor

Amir Shabani (Young Researchers and Elites Club, Science and Research Branch - Islamic Azad University, Tehran, Iran)
Reza Farzipoor Saen (Department of Industrial Management, Karaj Branch - Islamic Azad University, Tehran, Iran)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 5 May 2015

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Abstract

Purpose

The purpose of this paper is to develop a model based on data envelopment analysis (DEA) and program evaluation and review technique/critical path method (PERT/CPM) for determining prospective benchmarks.

Design/methodology/approach

The idea of determining prospective benchmark is needed for developing a model for future planning where inputs and outputs of systems are influenced by external factors such as economic conditions, demographic changes, and other socio-economic factors. In this paper, the PERT/CPM method estimates prospective inputs and outputs. On the other hand, in particular systems some measures play the role of both input and output. Such factors in DEA literature are called dual-role factors. This paper integrates PERT/CPM technique and the DEA.

Findings

The results of the proposed model depict that a present benchmark may not be a benchmark in future. A numerical example validates the proposed model.

Originality/value

This paper, for the first time, applies the PERT/CPM technique to incorporate the ideas for identifying prospective benchmarks. Moreover, the proposed model is an alternative solution for classifying inputs and outputs in DEA. Also, the proposed model is utilized in benchmarking green supply chain management.

Keywords

Acknowledgements

The authors wish to thank three anonymous reviewers for their constructive suggestions and comments.

Citation

Shabani, A. and Farzipoor Saen, R. (2015), "Developing a novel data envelopment analysis model to determine prospective benchmarks of green supply chain in the presence of dual-role factor", Benchmarking: An International Journal, Vol. 22 No. 4, pp. 711-730. https://doi.org/10.1108/BIJ-12-2012-0087

Publisher

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Emerald Group Publishing Limited

Copyright © 2015, Emerald Group Publishing Limited