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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part B. Journal of engineering manufacture >Heuristic algorithms for re-entrant hybrid flow shop scheduling with unrelated parallel machines
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Heuristic algorithms for re-entrant hybrid flow shop scheduling with unrelated parallel machines

机译:具有无关并行机的可重入混合流水车间调度的启发式算法

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摘要

This paper considers the scheduling problem in hybrid flow shops with parallel machines at each serial production stage. Each job may visit each stage several times, called the re-entrant flows. As an extension of the research on generic re-entrant hybrid flow shop scheduling, the unrelated parallel machines at each stage are considered and hence the processing time of a job at each stage depends on the machine where the job is processed. The problem is to determine the allocation of jobs to the unrelated parallel machines as well as the sequence of the jobs assigned to each machine for the bicriteria objectives of minimizing makespan and total tardiness, Since due dates must be satisfied after being negotiated with customers in most practical situations, the original problem is transformed into a problem with a single objective of minimizing makespan by moving the tardiness objective to a constraint set with a certain allowance. Because of the complexity of the problem, two heuristic algorithms are suggested and tested in this paper. In particular, the performances of the heuristics are shown with the gaps from the solution values obtained from a search heuristic with a sufficiently long computation time.
机译:本文考虑了在每个串行生产阶段具有并行机器的混合流水车间的调度问题。每个工作可能会多次访问每个阶段,称为重入流程。作为对通用可重入混合流水车间调度研究的扩展,考虑了每个阶段无关的并行机器,因此,每个阶段的作业处理时间取决于处理作业的机器。问题是要确定作业分配给无关的并行计算机以及分配给每台计算机的作业顺序,以达到最小化生产期和总拖延的双重目标,因为在大多数情况下必须与客户协商后才能确定到期日期在实际情况下,通过将迟到目标移至具有一定余量的约束条件集,原始问题将转化为具有最小化制造时间的单一目标的问题。由于问题的复杂性,本文提出并测试了两种启发式算法。尤其是,启发式算法的性能显示为与从搜索启发式算法获得的具有足够长计算时间的解值的差距。

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