Application of the PM² methodology in the analysis of assembly processes

Abstract

In today’s industrial landscape, gaining a comprehensive understanding of process models is essential for effective decision-making. Such an understanding plays a key role in optimizing production processes, reducing operational costs, enhancing product quality, identifying and mitigating potential risks, and improving overall operational efficiency. This paper presents an in-depth case study focused on a combustion engine production line, demonstrating the practical application of the Process Mining Methodology (PM²). PM² provides a systematic and structured approach to process analysis, utilizing event logs recorded in an advanced information system. The study reveals how insights can be gained regarding the production process, enabling the identification of inefficiencies and the recommendation of targeted, data-driven improvements. These recommendations can significantly contribute to operational efficiency and system reliability. This article discusses the research context, the PM² methodology, its application on an assembly line, and the implications of the findings, concluding with suggestions for future research.