Modeling and Simulation of Worker Profiles in Production Systems Based on Punctuality, Fatigue, and Experience

The integration of worker behavior profiles into production systems is essential for improving performance and ensuring efficiency in terms of productivity, quality, safety, and worker well-being. This paper presents a model that simultaneously represents worker punctuality, fatigue, and experience through simulation. A Markov chain is employed to model punctuality, while fatigue and experience are captured through some functional models inspired by the literature. The developed simulator enables the exploration of multiple experimental scenarios, illustrating the impact of these factors on production performance. This provides valuable insights for dynamic and anticipatory decision-making. The results indicate that various considerations must be taken into account when selecting worker profile preferences, highlighting the importance of worker allocation on operator productivity.