Modularity-based quality assessment of a disruptive reconfigurable manufacturing system-A hybrid meta-heuristic approach

This study considers quality aspects in the process planning of a reconfigurable manufacturing system. The goal is to analyze how variation impacts planning, i.e., cost-based design and modular features. Besides this, analysis helps identifying number conforming failed products delivered by plan. First, multi-objective mixed integer non-linear programming model proposed that contains novel objectives cost, decay, efforts. Secondly, implemented on an industrial case using exact solution approach hybrid version two popular meta-heuristics, namely non-sorting genetic algorithm particle swarm optimization. heuristic strengthening application approaches creating balance searching space. performance different assessed metrics termination criteria. findings will help decision-makers assessing quality-related issues impact choice plan understanding trade-off among quality, modularity. Finally, conclusion future research avenues are provided.