Ergonomic Integration in Mixed-Model Line Balancing

Ergonomic Integration in Mixed-Model Line Balancing delivers a rigorous, systems-engineering treatment of combining physical human workload factors with computational line balancing optimization in multi-variant manufacturing environments. As modern assembly lines increasingly accommodate product customization, high-product-variety assembly systems face severe operational complexity. Standard line balancing models often prioritize cycle time, station capacity, and line efficiency while overlooking dynamic operator fatigue, repetitive strain metrics, and physical risk factors. This monograph bridges industrial engineering principles and ergonomic science to establish unified multi-objective mathematical formulations for mixed-model production lines.

The text details spatial line layout strategies, workstation sequencing, physical task allocation models, and multi-objective optimization algorithms designed to balance assembly throughput alongside human physical workload indices. It explores mixed-integer linear programming, constraint logic programming, dynamic task allocation routines, and metaheuristic solvers tailored to resolve trade-offs between assembly efficiency and physical strain. Designed for industrial engineers, manufacturing systems analysts, operations research specialists, and ergonomics researchers, this volume provides analytical frameworks to optimize modern, human-centric production environments.