SYSTEMATIC OPTIMIZATION OF A MULTI-MODEL INDUSTRIAL ASSEMBLY LINE THROUGH LINE BALANCING AND SIMULATION
Keywords:
assembly line, line balancing, process optimization, simulation, Lean Manufacturing.Abstract
Assembly line optimization remains a key challenge in production engineering, especially in environments with product diversity, variability, and space constraints. This paper presents a practical study on optimizing a multi-model industrial assembly line using real production data. The approach integrates line balancing, reduction of non-value-added activities, layout reconfiguration, and simulation-based validation to improve performance without major investments. The process was modeled in Plant Simulation to evaluate initial and improved configurations. Results indicate that partial optimization yields limited gains, while full implementation leads to reduced operating times, improved workload balance, enhanced stability, and increased output capacity. The study highlights the importance of considering real industrial constraints and the value of simulation as a decision-support tool.
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