System Dynamics Modeling in Automotive Electronics Assembly: A Case Study on New Product Engineering Change Administration

This paper examines the complexities of Engineering Change Administration (ECA) in Electronics Assembly New Product Operations within the automotive industry, focusing on the integration of both tangible and intangible engineering changes. Utilizing a System Dynamics (SD) approach, it models the multifaceted processes involved during new vehicle prototyping phases. The study assesses how different pathways influence time efficiency and error rates in implementing engineering changes, emphasizing the dual nature of these changes and their impact on operational efficacy. By leveraging Vensim modeling software, the research provides a nuanced exploration of coordination characteristics and their risk profiles. It also examines the role of human factors, particularly the variability introduced by Engineering Change Analysts' workload and expertise levels, enhancing the model's predictive accuracy and strategic decision-making. Findings suggest that pathways with advanced planning, like the Lean Implementation Pathway, show lower error rates and improved efficiency. In contrast, the Late Implementation Request Pathway, triggered by unforeseen delays, exhibits higher error incidences, highlighting the need for better risk management strategies. This study advances methodologies that significantly impact the efficacy of engineering change operations in the automotive sector.