Ganguly, K., & Das, D. (2018). Modelling the Enablers of Supply Risk Management Using Interpretive Structural Methodology, Research, Practices, and Innovations in Global Risk and Contingency Management, https://doi.org/10.4018/978-1-5225-4754-9.ch016.
Ganguly, K., & Das, D. (2018). Modelling the Enablers of Supply Risk Management Using Interpretive Structural Methodology, Research, Practices, and Innovations in Global Risk and Contingency Management, https://doi.org/10.4018/978-1-5225-4754-9.ch016.
The purpose of this paper is to develop a structural framework for supply risk management process (SRMP) and establish its link with Supplier Selection (SS). Interpretative Structural Modelling (ISM) approach is used to develop the structural framework. The enablers for SRMP are identified through extensive literature review and further discussion held with managers/ senior engineers in an Indian Automobile manufacturing company. In the second stage of the work, the structural framework is developed where the enablers are classified into four categories based on their driving power and dependence. The identification of enablers and their linkages for SRMP which influences SS sheds light on the problem of supply risk management efforts. This can enable managers in deciding the priority of various enablers and linkages between them. This can also help supply chain managers to take proactive steps in improving these enablers and consider Supply Risk for the SS process.