Title: Analysis and model development of supply chain risk variables in the Indian manufacturing context

Authors: Harish Babu; Prabhas Bhardwaj; Anil Kumar Agrawal

Addresses: Mechanical Engineering Department, Indian Institute of Technology (BHU), Varanasi, UP 221005, India ' Mechanical Engineering Department, Indian Institute of Technology (BHU), Varanasi, UP 221005, India ' Mechanical Engineering Department, Indian Institute of Technology (BHU), Varanasi, UP 221005, India

Abstract: Modern supply chains operate with a complex structure having multiple echelons, multiple partners at an echelon, which may be located at different places. In such an environment, risks and uncertainties create several problems for the supply chain managers. These risks can make the supply chain more vulnerable and may sometimes slowdown or completely shut down the supply chain. This makes the study of SCRM as a key concern for SC managers. In order to handle the risks properly, relevant risks to a supply chain and their interrelationships should be identified. In this paper, seven dominant risk variables of an electrical wire manufacturing industry are identified. Interpretive structural modelling (ISM) is applied to develop the interrelationship among these risk variables. Based on MICMAC analysis, the risks have been classified into different categories. This research finding can be useful for managers to understand the risk variables for building a robust supply chain.

Keywords: supply chain risk management; SCRM; risk management; supply chain risks; Indian manufacturing industry; risk types; risk variables; risk triggers; interpretive structural modelling; ISM; MICMAC analysis.

DOI: 10.1504/IJBCRM.2020.111771

International Journal of Business Continuity and Risk Management, 2020 Vol.10 No.4, pp.307 - 329

Received: 28 Jan 2019
Accepted: 06 Dec 2019
Published online: 14 Dec 2020 *

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