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A decomposition based solution algorithm for U-type assembly line balancing with interval data

机译:具有区间数据的U型装配线平衡的基于分解的求解算法

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摘要

Balancing U-type assembly lines under uncertainty is addressed in this paper by formulating a robust problem and developing its optimization model and algorithm. U-type assembly layouts are shown to be more efficient than conventional straight lines. A great majority of studies on U-lines assume deterministic environments and ignore uncertainty in operation times. We aim to fill this research gap and, to the best of our knowledge, this study will be the first application of robust optimization to U-type assembly planning.
机译:本文通过提出鲁棒问题并开发其优化模型和算法,解决了在不确定性下平衡U型装配线的问题。显示出U型装配布局比常规直线更有效。关于U线的绝大多数研究都假定环境是确定的,而忽略了运行时间的不确定性。我们旨在填补这一研究空白,并且据我们所知,该研究将是鲁棒优化技术在U型装配计划中的首次应用。

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