System Dynamics Modeling for Engineering Change Administration in Serially Produced Vehicles: A Case Study in Electrical and Electronics Assembly Operations

This study introduces a System Dynamics model developed to optimize Engineering Change Administration (ECA) in Electronics Assembly within automotive manufacturing. The model employs historical data and expert insights to accurately simulate the complexities involved in Current Product ECA Operations. It methodically explores key pathways including the Direct Implementation Pathway and the Serial Production Feasibility Pathway, each designed to accommodate engineering changes with varying degrees of complexity and urgency. This model addresses the critical challenges of maintaining production efficiency while effectively integrating innovative electronic components into automotive vehicles. Detailed outcomes highlight the pivotal roles of the Complexity Index and Quality Coordination Cost in predicting the success of implementations and in managing potential disruptions. By providing insights into the nuances of engineering change impact and operational adaptability, the model enhances operational efficiency and supports strategic decision-making within the automotive industry. This research demonstrates how dynamic modeling can be a vital tool in managing the sophisticated dynamics of automotive electronics assembly, contributing to both theoretical frameworks and practical applications in industrial operations.