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A product-driven system approach for multilevel decisions in manufacturing planning and control

机译:一种产品驱动的系统方法,用于制造计划和控制中的多层次决策

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Decision-making in Manufacturing Planning and Control Systems uses processes that consider several levels of product aggregation and different time horizons. Decisions rendered on each level do not always have similar goals. The problem is that building Intelligent Manufacturing Systems (IMS) involves coordinate decisions on different levels to achieve a common objective. There is no current research on IMS regarding coordination among decision levels in Product-driven Control Systems, hence simulations of the planning and control processes should be conducted to analyze the behavior of multilevel objectives. Accordingly, in this paper a simulation model gives account of different coordination issues between tactical and operational levels. At the tactical level , production plans are generated by an Advanced Planning and Scheduling system, whereas at the operational level , a distributed decision rule is used. The whole simulation makes decentralized decisions that are managed by production lots represented by holons . Results for our simulation indicate that coordination among active lots is capable of making effective multilevel distributed decisions when compared with conventional approaches.
机译:制造计划和控制系统中的决策所使用的过程考虑了多个级别的产品聚合和不同的时间范围。在每个级别上做出的决策并不总是具有相似的目标。问题在于,构建智能制造系统(IMS)涉及在不同级别上协调决策以实现一个共同的目标。目前尚无关于IMS的关于产品驱动控制系统中决策层之间协调的研究,因此应进行计划和控制过程的仿真以分析多级目标的行为。因此,在本文中,仿真模型考虑了战术和作战层面之间的不同协调问题。在战术级别,生产计划是由高级计划和计划系统生成的,而在运营级别,则使用分布式决策规则。整个模拟做出分散的决策,这些决策由 holons代表的生产批次管理。仿真结果表明,与常规方法相比,有效批次之间的协调能够做出有效的多级分布式决策。

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