Analysis of Change Order Decision-Making Using The Analytic Network Process in The Operator Training Simulator Project at The Refinery Development Master Plan in The Oil And Gas Industry

Abstract

The Refinery Development Master Plan (RDMP) project at PT X aims to increase the capacity and efficiency of the refinery. A key aspect of this Residue Fluid Catalytic Cracking (RFCC) unit project is the development of an Operator Training Simulator (OTS) to ensure practical operator training. However, the change order decision-making process associated with developing the OTS is often complex and influenced by various factors. This research uses a Decision Support System by combining a Delphi - DEMATEL-based approach with Analytic Network Process (ANP) techniques to analyze the change order decision-making process. The Delphi method gathers expert opinions and identifies key factors that influence the decision-making process, and the DEMATEL method is used to see the interrelationships between criteria. Meanwhile, the ANP method structures and prioritizes these factors. The results of this study provide a structured framework for decision-making in the OTS development change order process that managers and stakeholders can use to ensure effective and efficient decision-making.