Analytical Network Process (ANP) Based Modeling For Analysing The Risks In Traditional, Agile And Lean Supply Chain

Abstract

Risk in the context of supply chain management plays an important role in industries. Risk can be defined as a combination of probability or frequency of occurrence of a defined hazard and magnitude of the occurrence. In this paper it is illustrate how the industries can analyse and assess the risks associated with supply chain. To fulfil customer requirements and profit maximization industries need to improve their supply chain system by eliminating risks associated to it by using appropriate tools and techniques. For the successful supply chain management, industries must have to focus on risk as a tool to achieve their goals. A comparative analysis of various risks which reduces the chance of occurrence of failures in determinants i.e. Disruption (DR), Deviation (DV) and Disasters (DS) has been analysed in this study. The purpose of this paper is to analyze the various risk factors identify through literature and case study of Indian manufacturing industries in traditional, agile and lean supply chain by the application of analytical network process (ANP). The proposed framework provides a structured approach for identifying and assessing risk and their differential impacts on different levels of supply chain networks. It provides insights into the dynamics of risk events and identifies network configurations that are vulnerable to different levels of risk.