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Minimizing total tardiness in a two-machine flowshop scheduling problem with availability constraint on the first machine

机译:在第一台机器具有可用性约束的两机Flowshop调度问题中使总拖延最小

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This paper deals with a two-machine flowshop problem in which the machine at the first stage requires preventive maintenance activities that have to be started within a given cumulative working time limit after the previous maintenance. That is, a maintenance activity can be started at any time unless the cumulative working time after the end of the previous maintenance exceeds the given limit. For the problem with the objective of minimizing total tardiness, we develop dominance properties and lower bounds for this scheduling problem as well as a heuristic algorithm, and suggest a branch and bound algorithm in which these properties, lower bounds, and heuristic algorithm are used. Computational experiments are performed to evaluate the algorithm and the results are reported.
机译:本文涉及一个两机流水车间问题,在该问题中,第一阶段的机器需要进行预防性维护活动,而这些活动必须在先前的维护之后的给定累计工作时间限制内启动。即,除非先前维护结束后的累计工作时间超过给定的限制,否则可以随时开始维护活动。为了使总拖延最小化,我们针对该调度问题开发了优势属性和下界以及启发式算法,并提出了使用这些属性,下界和启发式算法的分支定界算法。进行计算实验以评估算法,并报告结果。

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