Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach

Abstract

Purpose

The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies.

Design/methodology/approach

A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM.

Findings

The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage.

Practical implications

It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards.

Originality/value

This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.

Citation

Prashar, A. and Aggarwal, S. (2020), "Modeling enablers of supply chain quality risk management: a grey-DEMATEL approach", The TQM Journal, Vol. 32 No. 5, pp. 1059-1076. https://doi.org/10.1108/TQM-05-2019-0132