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Lower bound development in a flow shop electronic assembly problem with carryover sequence-dependent setup time

机译:流水车间电子装配问题的下限开发,其结转序列取决于设置时间

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摘要

A flow shop group-scheduling problem in the assembly of printed circuit boards (PCBs) is addressed in this paper. We have developed search algorithms yet their quality cannot be attested to when optimal solutions or lower bounds are unavailable. A very effective and efficient lower-bounding mechanism based on the underlying concepts of column generation and branch-and-price is developed. The problem remains so complex even after decomposition. Thus, optimal properties and strategies are developed to facilitate efficiently solving the sub problems. Accompanied by an experimental design and statistical analysis, comprehensive computational tests for a wide range of problems are carried out. The findings suggest that the lower bound and search algorithms are very effective even for large-size problem instances.
机译:本文解决了印刷电路板(PCB)组装中的流水车间调度问题。我们已经开发了搜索算法,但是当没有最佳解决方案或下限时,无法证明其质量。基于列生成和分支与价格的基本概念,开发了一种非常有效的下界机制。即使分解后,问题仍然如此复杂。因此,开发了最佳的属性和策略以促进有效地解决子问题。在进行实验设计和统计分析的同时,针对各种问题进行了全面的计算测试。研究结果表明,即使对于大型问题实例,下限和搜索算法也非常有效。

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