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A DUE-WINDOW DETERMINATION IN MINMAX SCHEDULING PROBLEMS

机译:MINMAX调度问题中的到期窗口确定

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In several recent scheduling studies the notion of due-date is generalized: it is assumed that jobs completed within a certain time interval (rather than at a time point) are con- sidered as being on time, whereas jobs completed outside this interval are penalized. We study a scheduling problem on parallel identical machines, in which the schedule As well as the common due-window are to be determined. The relevant cost com- Ponents are: maximum earliness, maximum tardiness, due-window starting time and Due-window length. The objective is of a minmax type, i.e. we look for the schedule And due-window with minimum cost of the worst scheduled job, with respect to all cost Components. We solve the problem to optimality on a single machine, and we intro- Duce an efficient (and asymptotically optimal) heuristic algorithm and a simple lower Bound for the general multi-machine case. An extension to non-linear cost functions as Well as the special case of unit processing times are also studied. We conclude with an Extensive numerical study which indicates that both the heuristic and the lower bound Produce very close-to-optimal results under various job and machine environments.
机译:在最近的一些调度研究中,“到期日期”的概念得到了概括:假定在一定时间间隔(而不是在某个时间点)内完成的作业被视为按时完成,而在此时间间隔外完成的作业则受到惩罚。 。我们研究了在并行相同机器上的调度问题,其中要确定调度以及公共到期窗口。相关的成本要素是:尽早,最大延误,到期窗口开始时间和到期窗口长度。目标是minmax类型,即,相对于所有成本要素,我们以最差的计划工作的最低成本寻找进度表和到期窗口。我们在一台机器上将问题解决为最优,然后针对一般的多机器案例引入了一种有效的(渐近最优)启发式算法和一个简单的下界。还研究了非线性成本函数的扩展以及单位处理时间的特殊情况。我们以广泛的数值研究得出结论,该研究表明启发式方法和下限方法在各种作业和机器环境下都能产生非常接近最佳的结果。

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