Title: Decision making in effective supply chain collaboration: a fuzzy AHP approach

Authors: Kaustubh Joshi; Ravi Kant

Addresses: Department of Mechanical Engineering, S.V. National Institute of Technology, Surat – 395007, India ' Department of Mechanical Engineering, S.V. National Institute of Technology, Surat – 395007, India

Abstract: Effective supply chain (SC) collaboration requires strategic planning. It requires not only technological change, but to a great extent also operational and organisational changes, where human factors, skills and managing change play as important a role as the technology itself. There are many factors that support the effective SC collaboration known as SC collaboration enablers (SCCEs). The expert interview was conducted to identify perceptions of the most significant SCCEs. The purpose of this paper is to identify the SCCEs that significantly affect SC collaboration. In this study, a fuzzy analytic hierarchy process (FAHP) approach has been used for rankings of these SCCEs. This study has attempted to identify the significant and justifiable SCCEs for effective SC collaboration. The findings of this research may be used for developing a confirmation-based ranking of SCCEs.

Keywords: fuzzy AHP; analytical hierarchy process; FAHP; fuzzy numbers; supply chain collaboration; supply chain management; SCM; strategic planning; collaboration enablers.

DOI: 10.1504/IJDSRM.2012.053371

International Journal of Decision Sciences, Risk and Management, 2012 Vol.4 No.3/4, pp.197 - 216

Received: 01 Aug 2012
Accepted: 09 Dec 2012
Published online: 23 Aug 2014 *

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