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Bayesian design in queues: An application to aeronautic maintenance

机译:排队中的贝叶斯设计:航空维修中的应用

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摘要

A Bayesian approach is presented for assessing efficiency is an queuing system with s spares. Maintenance scheduling and machine repair times are crucial in all industrial and business branches which depend on the correct performance of a set of machines. Inventory problems require quick replacement of broken down machine to guarantee continuous functioning. Optimal planning of resources becomes essential then to assure some operational performance level. Some interesting papers in this context are Iravam et al. (Ref. 1) in manufacturing, Almasi and Sztrik (Ref. 2) in telecommunication, Erkip (Ref. 3) in transport and Schoeming (Ref. 4) in semiconductor manufacturing. The Bayesian framework allows us to derive natural performance criteria in terms of the number of working machines. The queuing system can be designed by choosing suitable numbers of repair crews and spares such that a certain acceptable global performance is achieved, with guarantees optionally assessed by predictive or posterior distribution.
机译:提出了一种贝叶斯方法,用于评估具有备用件的排队系统的效率。维护计划和机器维修时间在所有工业和商业部门都至关重要,这取决于一组机器的正确性能。库存问题需要快速更换故障机器以保证连续运行。因此,对资源进行最佳规划对于确保一定的运营绩效水平至关重要。在这种情况下,一些有趣的论文是Iravam等。 (参考文献1)在制造业中,(Almasi和Sztrik(参考文献2)在电信中,Erkip(参考文献3)在运输中,绍明(参考文献4)在半导体制造中。贝叶斯框架允许我们根据工作机器的数量得出自然的性能标准。可以通过选择适当数量的维修人员和备件来设计排队系统,以实现一定程度的整体性能,并可以选择通过预测性分布或后验分布来评估保证。

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