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Development of a methodology for hybrid metamodeling of hierarchical manufacturing systems within a simulation framework.

机译:在模拟框架内开发用于分层制造系统的混合元建模的方法。

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摘要

Scope and method of study. This research effort was directed at conceptualizing and validating a methodology to create "models of models" (i.e., metamodels) for use in situations where aggregate behavior of some system sub-models can be substituted for detailed behavior. The metamodel is used in concert with a detailed representation of other system sub-models. Through use of the developed methodology, a workcenter within a multi-workcenter manufacturing model can be represented in metamodel form while preserving the time-in-system distribution of parts moving through the workcenter. Metamodels are developed based on statistics collected from observation of their detailed counterparts during controlled experimentation. The statistics are used to estimate a set of empirical time-in-system cumulative distribution functions for the workcenter metamodel. The set comprises curves for several values of workcenter stage utilization. Metamodels are validated by statistically comparing experimentally generated metamodel distributions of time-in-system with detailed model distributions of time-in-system.;Findings and conclusions. Metamodels were created for six different workcenter structure/operating characteristic scenarios. These metamodels were compared to their detailed counterparts under two different decision making cases at two different utilization levels. Two statistical tests and a pragmatic test were formulated to analyze the consistency of results. The first statistical test was based on the hypothesis that if the detailed model resulted in a significant difference in mean time-in-system across the decision alternatives the metamodel should also. The results of this test were entirely consistent. The second statistical test was based upon the hypothesis that the interaction effect between decision alternative and model type should not be significant. The results of this test were mixed but predominantly undesirable. The third test was designed to measure the pragmatic impact of the interaction in absolute terms. A statistic was formulated to measure the percentage difference between the achieved results and results calculated in the absence of an interaction effect. The results were very satisfying with a worst case error of 5.35%.
机译:研究范围和方法。这项研究工作旨在概念化和验证一种方法,以创建“模型模型”(即元模型),用于某些系统子模型的集合行为可以代替详细行为的情况。元模型与其他系统子模型的详细表示配合使用。通过使用开发的方法,可以以元模型形式表示多工作中心制造模型中的工作中心,同时保留通过工作中心的零件在系统中的分布。元模型是根据在受控实验过程中从其详细对应物的观察中收集到的统计数据开发的。统计信息用于估计工作中心元模型的一组经验的系统时间累积分布函数。该集合包括用于工作中心阶段利用率的多个值的曲线。通过对实验生成的系统时间的元模型分布与系统时间的详细模型分布进行统计比较,可以验证元模型。发现和结论。为六个不同的工作中心结构/运营特征方案创建了元模型。在两个不同的使用水平下,在两个不同的决策案例下,将这些元模型与详细的模型进行了比较。制定了两个统计检验和一个实用检验来分析结果的一致性。首次统计检验基于以下假设:如果详细模型导致决策选择之间的平均系统时间显着不同,则元模型也应如此。该测试的结果是完全一致的。第二项统计检验基于以下假设:决策选择与模型类型之间的交互作用不明显。该测试的结果好坏参半,但主要是不理想的。第三次测试旨在以绝对的方式衡量互动的实际影响。制定了统计数据,以衡量获得的结果与在没有相互作用效应的情况下计算出的结果之间的百分比差异。结果非常令人满意,最坏情况的误差为5.35%。

著录项

  • 作者

    Pratt, David Bruce.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Industrial engineering.;Operations research.
  • 学位 Ph.D.
  • 年度 1992
  • 页码 259 p.
  • 总页数 259
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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