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Flexibility in global supply chain: modeling the enablers

Pravin Kumar (Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India)
Ravi Shankar (Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India)
Surendra S. Yadav (Department of Management Studies, Indian Institute of Technology Delhi, New Delhi, India)

Journal of Modelling in Management

ISSN: 1746-5664

Article publication date: 31 October 2008

2849

Abstract

Purpose

The purpose of this paper is to identify and evaluate the relationships among the flexibility enablers and to prepare a hierarchy of these enablers to know their influences over each other in global supply chain. The framework suggests that the priority of enablers in supply chain should be determined on the basis of their driving power and dependency.

Design/methodology/approach

Various enablers used by researchers and practitioners for flexibility management of global supply chain have been identified. These enablers have been classified as strategic, operational and performance‐based enablers. Interpretive structural modeling (ISM) is used to establish mutual relationships among the flexibility enablers and to prepare a hierarchy‐based model.

Findings

It has been observed that some enablers having high‐driving power and low dependency are of strategic importance. These enablers require more attention while other enablers based on operations and performances are dependents of strategic enablers.

Practical implications

The index of enablers based on driving power and dependency provides an insight to supply chain managers to make the entire supply chain highly flexible and help them to respond to global uncertainties.

Originality/value

Presentation of enablers in the form of hierarchy using ISM and ranking them into various driving power and dependent categories is a good effort to make flexible global supply chain.

Keywords

Citation

Kumar, P., Shankar, R. and Yadav, S.S. (2008), "Flexibility in global supply chain: modeling the enablers", Journal of Modelling in Management, Vol. 3 No. 3, pp. 277-297. https://doi.org/10.1108/17465660810920609

Publisher

:

Emerald Group Publishing Limited

Copyright © 2008, Emerald Group Publishing Limited

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