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A robust scheduling method for a job shop problem in production by using data carriers

机译:通过使用数据载体生产在生产中的作业店问题的强大调度方法

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A real production schedule requires efficient and robust solution against environmental changes in a production site. In this paper a framework of a robust scheduling method for a job-shop scheduling problem including probability of environmental changes is proposed for production by using data carriers. The proposed method searches the set of an initial schedule and modified ones against environmental changes, which has the best expected evaluation value of productive efficiency (= /spl Sigma/(the probability of the change) /spl times/ (the evaluation value)) as a solution. In order to express jillion modified schedules simply, adjustment rules are introduced, and a robust schedule is described by an initial schedule and pairs of an environmental change map and an adjustment rule. The framework of creating the robust schedule is proposed.
机译:实际生产计划需要有效和强大的解决方案对生产网站的环境变化。在本文中,提出了通过使用数据载波来生产包括环境变化概率的作业商店调度问题的强大调度方法的框架。该方法搜索初始调度和修改的方法的集合,反对环境变化,其具有生产效率的最佳预期评估值(= / spl sigma /(变化概率)/ spl时间/(评估值))作为解决方案。为了简单地,介绍了吉列·修改的时间表,介绍了调整规则,并且通过初始计划和环境变化图和调整规则对进行强大的时间表。提出了创建强大计划的框架。

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