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Hierarchical optimization with double due dates on an unbounded parallel-batching machine to minimize maximum lateness

机译:在无边界并行批处理计算机上进行具有两个到期日的分层优化,以最大程度地减少最大延迟

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摘要

This paper studies a hierarchical optimization problem on an unbounded parallel-batching machine, in which two objective functions are maximum lateness induced by two sets of due dates, representing different purposes of two decision-makers. By a hierarchical optimization problem, we mean the problem of optimizing the secondary criterion under the constraint that the primary criterion is optimized. A parallel-batching machine is a machine that can handle several jobs in a batch in which all jobs start and complete respectively at the same time. We present an -time algorithm and an -time algorithm for this hierarchical scheduling problem, where P is the total processing time of all jobs.
机译:本文研究了无边界并行批处理机上的一个层次优化问题,其中两个目标函数是由两组到期日引起的最大延迟,代表了两个决策者的不同目的。所谓分层优化问题,是指在优化主准则的约束下优化次准则的问题。并行批处理机器是可以批量处理多个作业的机器,其中所有作业分别同时开始和完成。针对此分层调度问题,我们提出了-time算法和-time算法,其中P是所有作业的总处理时间。

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