Механично поведение и пространствено предаване на усилията в преходните конструктивни елементи при исторически зидани куполи
This paper presents the development of a comprehensive, three-tiered simulation model for a discrete manufacturing system, specifically focusing on a high-volume cylinder head production line in the automotive components sector. Designed to capture the complexities of Industry 4.0 and 5.0 environments, the hierarchical architecture spans workstation, line, and system levels, enabling a detailed analysis of stochastic variability, material flow dynamics, and external supply chain interactions. The model integrates a robust empirical dataset—collected from a Tier-1 German automotive supplier over six months—with global industry benchmarks such as the TEEPTRAK OEE data and IFR robotics reports. Input parameters are strictly calibrated using best-fit statistical models, including lognormal distributions for complex machining operations and Weibull distributions for machine failure rates. By establishing explicit operational assumptions, such as finite buffer capacities and stationary steady-state conditions, this simulation framework provides a highly credible, data-driven foundation for evaluating production performance, identifying bottlenecks, and testing resilience under non-stationary scenarios.
Ключови думи: Discrete Manufacturing, Industry 4.0/Industry 5.0, Overall Equipment Effectiveness (OEE), Automotive Components Sector
