Title: Weighted-ISM technique for analysing the competitiveness of uncertainty and risk measures in supply chain

Authors: Mahesh Chand; Tilak Raj; Ravi Shankar

Addresses: Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, Haryana 121006, India ' Department of Mechanical Engineering, YMCA University of Science and Technology, Faridabad, Haryana 121006, India ' Department of Management Studies, Indian Institute of Technology Delhi, New Delhi 110016, India

Abstract: This paper mainly deals with the uncertainty and risks management in the supply chain. Uncertainty and risk management plays a vital role for the competitiveness and the growth of industries. In this regard, ten uncertainty and risk measures have been identified through the literature review and expert opinion, they are further analysed by using weighted interpretive structural modelling (W-ISM) technique. ISM approach is used to develop a structural modelling between these measures and a method of competitiveness index (CI) is used to identify the key measures. The competitiveness index evaluated in this paper will help the industries to benchmark their performance by managing uncertainty and risk measures reported in this study.

Keywords: supply chain management; SCM; supply chain risks; uncertainty management; risk measures; weighted ISM; interpretive structural modelling; W-ISM; competitiveness index; risk management; benchmarking; supply chain performance.

DOI: 10.1504/IJLSM.2015.069374

International Journal of Logistics Systems and Management, 2015 Vol.21 No.2, pp.181 - 198

Received: 25 Sep 2013
Accepted: 18 Jan 2014
Published online: 14 May 2015 *

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