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Lean buffering in serial production lines with non-exponential machines

机译:使用非指数机在串行生产线中进行精益缓冲

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摘要

In this paper, lean buffering (i.e., the smallest level of buffering necessary and sufficient to ensure the desired production rate of a manufacturing system) is analyzed for the case of serial lines with machines having Weibull, gamma, and log-normal distributions of up- and downtime. The results obtained show that: (1) the lean level of buffering is not very sensitive to the type of up- and downtime distributions and depends mainly on their coefficients of variation, CV up and CV down ; (2) the lean level of buffering is more sensitive to CV down than to CV up but the difference in sensitivities is not too large (typically, within 20%). Based on these observations, an empirical law for calculating the lean level of buffering as a function of machine efficiency, line efficiency, the number of machines in the system, and CV up and CV down is introduced. It leads to a reduction of lean buffering by a factor of up to 4, as compared with that calculated using the exponential assumption. It is conjectured that this empirical law holds for any unimodal distribution of up- and downtime, provided that CV up and CV down are less than 1.
机译:在本文中,针对具有Weibull,γ和对数正态分布为up的机器的串行生产线,分析了精益缓冲(即,最小缓冲水平,足以确保制造系统的理想生产率)。 -和停机时间。得到的结果表明:(1)精益缓冲水平对正常运行时间和停机时间分布的类型不是很敏感,主要取决于它们的变异系数,CV上升和CV下降; (2)倾斜的缓冲水平对CV下降比对CV上升更敏感,但是灵敏度的差异不太大(通常在20%以内)。基于这些观察,引入了根据机械效率,生产线效率,系统中的机器数量以及CV上升和CV下降来计算缓冲的精益水平的经验定律。与使用指数假设计算得出的值相比,它可以将精益缓冲减少多达4倍。可以推测,只要CV上升和CV下降小于1,则该经验定律适用于正常运行时间和停机时间的任何单峰分布。

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