建模队列中输出性能度量对输入分布形状的敏感性- 3:真实数据场景

D. Gross
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引用次数: 5

摘要

本文是继前两次WSC会议上发表的关于排队建模中输出度量对输入分布选择的敏感性的论文之后。这里研究了一个真实的情况,其中使用了输入分布的数据,分布由Arena input Analyzer和ExpertFit两个拟合包选择。对于这个小型银行排队网络模型,我们比较了原始数据本身的直方图的经验分布,以及Arena和ExpertFit的前两个选择,结果表明,平均排队等待等输出度量对输入分布选择非常敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sensitivity of output performance measures to input distribution shape in modeling queues—3: real data scenario
This paper follows-on papers presented at the two previous WSC conferences on sensitivity of output measures to input distribution selection in queueing modeling. Here, a real situation is studied, where data on input distributions are utilized and distributions selected by two fitting packages, Arena Input Analyzer and ExpertFit. Empirical distributions made from histograms of the raw data itself, as well as the first two choices from Arena and ExpertFit are compared for this small bank queueing network model, showing that an output measure such as mean wait in queue is quite sensitive to input distribution choice.
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