Risk Mitigation In Supply Chain Rpet Manufacturing With Fuzzy Logic Based House Of Risk (Hor) Approach

Abstract

In this developing era, business competition is no longer a competition between companies independently but has been dominated by competition between management in the supply chain. One of the challenges for companies today is managing and tackling the risks that exist in the series of processes carried out. That is why this research aims to identify, prioritize, evaluate, and mitigate the risks that might occur in the supply chain process of PT. XYZ. To collect the data, the researcher perform interviews, Focus Group Discussion (FGD), and questionnaires. Then, the data are mapped into the SCOR model to identify the risk event and agent. This research is using Fuzzy logic to identify the severity and occurrence of its risks. It will be followed by the House of Risk (HOR) first and the second phase to evaluate and mitigate the risks. From the method that has been applied and calculated, the results reveal 11 risk agents. To get mitigation actions, there are 16 actions based on the result of HOR phase 2 that has been conducted.