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首页> 外文期刊>Journal of Advanced Mechanical Design, Systems, and Manufacturing >Multi-Objective Optimization on a Sequencing Planning of Mixed-Model Assembly Line
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Multi-Objective Optimization on a Sequencing Planning of Mixed-Model Assembly Line

机译:混合模型装配线排序计划的多目标优化

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摘要

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 MOON~(2R) 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.
机译:根据多样化的客户需求和全球竞争,混合模型装配线的引入变得流行起来,以合理地实现小批量多品种的生产。近年来,我们一直在研究混合模型装配线的排序问题,该模型在连续和水平生产条件下运行,并且包括很多生产线作为其先前的过程。考虑到两条线的操作方式的差异,我们将排序问题表述为双目标优化问题。它旨在防止各种生产线停工,​​并同时减少在制品库存。基于这样的表述,本研究首先涉及多目标分析。然后,我们提出了一个两阶段的多目标优化方法。它尝试根据上述多目标分析方法应用称为MOON〜(2R)的多目标优化方法。最后,通过作者之一作为虚拟决策者进行的数值实验,我们验证了所提方法的有效性。

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