Supply Chain Mitigation for Shipbuilding in Indonesia Shipyard by using Bayesian Network

Abstract

The implementation of modular construction in shipbuilding is increasing production by approximately 50%. However, supply chain remains a critical component of the project, particularly in the material inventory system, which significantly affects shipbuilding process. Delays in supply chain are caused by various factors, including a limited number of goods or service providers, changes in material or service specifications, supplier challenges, cash flow limitations, failed negotiations, incomplete documentation, customs clearance, failure to optimize networks and procurement system, redundant or unordered materials, limited storage capacity, insufficient transportation equipment, and high maintenance costs. Therefore, this study aims to introduce a new method for evaluating supply chain performance in Indonesian shipbuilding industry. Using Bayesian Network (BN) method, the evaluation process started by identifying constraint factors, assessing the probability, mapping associated risks, and providing mitigation strategies to enhance supply chain performance in support of new ship construction. The results showed that the procurement of materials, specifically sensors, weapons, communication system, as well as electrical and electronic components, carried the highest risk. These items were difficult to procure because of sudden specification changes and complex technical requirements. Project schedules often deviated from plans, causing an increase in equipment costs and procurement, as well as extended times. Consequently, early coordination between the procurement, planning, and supplier divisions is recommended to confirm and lock in equipment specifications, minimizing disruptions.