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The Problem of Tasks Scheduling with Due Dates in a Flexible Multi-machine Production Cell

机译:柔性多机生产单元中的应变日期任务调度问题

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In the paper we consider an NP-hard problem of tasks scheduling with due dates and penalties for the delay in a flexible production cell. Each task should be assigned to one of the cell's machines and the order of their execution on machines should be determined. The sum of penalties for tardiness of tasks execution should be minimized. We propose to use the tabu search algorithm to solve the problem. Neighborhoods are generated by moves based on changing the order of tasks on the machine and changing the machine on which the task will be performed. We prove properties of moves that significantly accelerate the search of the neighborhoods and shorten the time of the algorithm execution and in result significantly improves the efficiency of the algorithm compared to the version that does not use these properties.
机译:在论文中,我们考虑了在柔性生产细胞延迟延迟的延迟的日期和惩罚中调度任务的NP难题。 每个任务应分配给一个小区的计算机之一,应确定它们在机器上执行的顺序。 应最大限度地减少对任务执行的迟到的罚款总和。 我们建议使用Tabu搜索算法来解决问题。 基于在更改机器上的任务顺序和更改将执行任务的计算机的移动,由MOVE生成邻域。 我们证明了移动的性质,可显着加速邻域的搜索并缩短算法的执行时间,并且结果显着提高了与不使用这些属性的版本的算法的效率。

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