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Due date assignment in single machine with stochastic processing times

机译:具有随机处理时间的单台机器上的到期日期分配

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This paper considers two different due date assignment and sequencing problems in single machine where the processing times of jobs are random variables. The first problem is to minimise the maximum due date so that all jobs are stochastically on time. It is shown that sequencing the jobs in decreasing service level (DSL) order optimally solves the problem. The results are then extended for two special cases of flow shop problem. The other problem is to minimise a total cost function which is a linear combination of three penalties: penalty on job earliness, penalty on job tardiness, and penalty associated with long due date assignment. The assignment of a common due date and distinct due dates are investigated for this problem. It is shown that the optimal sequence for the case of common due date is V-shaped.
机译:本文考虑了单台机器中两个不同的到期日分配和排序问题,其中作业的处理时间是随机变量。第一个问题是最小化最大截止日期,以便所有作业都按时随机进行。结果表明,按降序的服务级别(DSL)顺序对作业进行排序可以最佳地解决该问题。然后将结果扩展到流水车间问题的两种特殊情况。另一个问题是使总成本函数最小化,该函数是三个惩罚的线性组合:对工作早期的惩罚,对工作迟缓的惩罚以及与长期到期任务相关的惩罚。针对此问题调查了共同到期日和不同到期日的分配。结果表明,在共同到期日的情况下,最佳顺序为V形。

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