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Economic design of exponential charts for time between events monitoring

机译:经济的指数图表设计,用于事件之间的监视

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The occurrence of defects or non-conformities in manufacturing processes can usually be modeled by a homogeneous Poisson process. However, the process parameter may change over time and it can be monitored with statistical process control techniques. Control charts based on an exponential distribution, called exponential charts in this paper, can be developed to monitor the occurrence rate of such events. For manufacturers, the economic objective of production is very important and has to be optimized. An economic approach is developed in this paper for the design of exponential charts. We compare and contrast the performances of statistical design, economic design and economic-statistical design. The usefulness of the proposed economic design approach is justified. The relationships among these designs are illustrated through numerical examples. In particular, the economic-statistical design approach is interpreted from a multi-objective optimization viewpoint. The limitations of the approach as well as future research are also discussed.
机译:制造过程中缺陷或不合格品的出现通常可以通过均质泊松过程进行​​建模。但是,过程参数可能会随时间变化,并且可以使用统计过程控制技术对其进行监视。可以开发基于指数分布的控制图(在本文中称为指数图)来监视此类事件的发生率。对于制造商而言,生产的经济目标非常重要,必须对其进行优化。本文开发了一种经济方法来设计指数图。我们比较和对比了统计设计,经济设计和经济统计设计的性能。所提出的经济设计方法的有用性是合理的。这些设计之间的关系通过数值示例进行说明。特别是从多目标优化的角度来解释经济统计设计方法。还讨论了该方法的局限性以及未来的研究。

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