Title: Supply chain risk inter-relationships and mitigation in Indian scenario: an ISM-AHP integrated approach
Authors: C.R. Vishnu; R. Sridharan; P.N. Ram Kumar
Addresses: Department of Mechanical Engineering, National Institute of Technology Calicut, NIT Campus P.O., Calicut – 673601, Kerala, India ' Department of Mechanical Engineering, National Institute of Technology Calicut, NIT Campus P.O., Calicut – 673601, Kerala, India ' Quantitative Methods and Operations Management, Indian Institute of Management Kozhikode, IIMK Campus P.O., Calicut – 673570, Kerala, India
Abstract: Supply chain risk management analyses and controls both internal and external supply chain risks through coordination/collaboration of supply chain partners to ensure profitability and business continuity. Be it internal or external, successful mitigation of these risks has always been a serious concern in the pursuit of customer satisfaction. The impact potential of these supply chain risk factors varies significantly as a result of their inter-relationships which further decide the selection of mitigation strategies. In this paper, we investigate the interdependence among the various supply chain risk factors that are prevalent in the Indian context by developing an interpretive structural model (ISM). Unlike a generic ISM, the proposed model incorporates the strength of the inter-relationships by deploying colour codes and a differential rating scale. Furthermore, we propose a group decision-making framework based on analytic hierarchy process for the prioritisation and selection of appropriate mitigation strategies. Finally, a case study is also presented to illustrate the proposed framework.
Keywords: supply chain risk management; risk inter-relationships; interpretive structural model; ISM; MICMAC; analytic hierarchy process; AHP; risk mitigation.
DOI: 10.1504/IJLSM.2019.098335
International Journal of Logistics Systems and Management, 2019 Vol.32 No.3/4, pp.548 - 578
Received: 19 May 2017
Accepted: 18 Jun 2018
Published online: 14 Mar 2019 *