Multi-Objective Optimization on a Sequencing Planning of Mixed-Model Assembly Line

According to diversified customer demands and global competition, introduction of mixed-model assembly lines becomes popular to realize the small-lot-multi-kinds production in a rational way. For recent years, we have been studying a sequencing problem of mixed-model assembly line that is operated under continuous and leveling production and includes a lot production line as its preceding process. By taking into account the difference of operation manners in both lines together, we have formulated the sequencing problems as a bi-objective optimization problem. It aims to prevent various line stoppages, and to reduce volume of WIP inventory simultaneously. Based on such formulation, this study concerns with the multi-objective analysis first. Then, we have proposed a two-stage multi-objective optimization method. It tries to apply multi-objective optimization method termed MOON2R relying on the foregoing multi-objective analysis. Finally, through numerical experiments performed by one of the author as virtual decision makers, we have validated effectiveness of the proposed approach.