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Scheduling heuristic resourced-based on task time windows for APS (Advanced planning and scheduling) Systems

机译:基于任务时间窗口的APS(高级计划和调度)系统调度启发式资源

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APS Systems (Advanced planning and scheduling) can provide production plans that enable a detailed analysis on the impact and possibility of analyzing different scenarios for a plant. The present work proposes an allocation heuristics of the type used in resource-based (bottleneck) APS Systems and uses task time windows in situations where product delivery time is important. The heuristics uses loading information from the equipment to dynamically assign (at each step) the equipment and the bottleneck time interval. Based on this information, it allocates the lots assigned to this equipment in the manner with the lowest influence on the bottleneck, so as to reduce its importance in the bottleneck problem without increasing its gravity. This heuristics enables successive and correct handling of all existing bottlenecks by updating the information at each step via constrained propagation mechanisms. The problem addressed is the scheduling of production in lot plants. Short-term problems with constraints on shared intermediate product storage resources (equipment) and plant operation in on-demand mode are considered.
机译:APS系统(高级计划和调度)可以提供生产计划,从而能够对分析工厂不同方案的影响和可能性进行详细分析。本工作提出了一种基于资源(瓶颈)的APS系统中使用的分配启发式方法,并在产品交付时间很重要的情况下使用任务时间窗口。启发式方法使用来自设备的负载信息来动态分配(在每个步骤中)设备和瓶颈时间间隔。根据此信息,它以对瓶颈影响最小的方式分配分配给该设备的批次,从而在不增加瓶颈重力的情况下降低其在瓶颈问题中的重要性。通过启发式传播机制,通过在每一步更新信息,这种启发式方法可以连续正确地处理所有现有瓶颈。解决的问题是批量工厂中的生产计划。考虑了共享中间产品存储资源(设备)受限制以及按需模式下工厂运营的短期问题。

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