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Transient analysis of downtime event in manufacturing systems

机译:制造系统中停机事件的瞬态分析

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In manufacturing industry, downtimes have been considered as major impact factors of production performance. To improve the system performance in real-time and properly allocate limited resources/efforts to different stations, it is necessary to quantify the impact of each station downtime event on the production throughput of the whole transfer line. Complete characterization of the impact requires a careful investigation of the transients of the line dynamics disturbed by the downtime event. We study in this paper, the impact of single isolated downtime event on the performance of inhomogeneous serial transfer lines. Our mathematical analysis suggests that the impact of any isolated downtime event is only apparent in the relatively long run when the duration exceeds a certain threshold called opportunity window. The size of the opportunity window not only depends on the initial buffer levels but also depends on the location and the processing speed of the slowest station. Analytical solutions of the opportunity window and the loose upper bounds for the recovery time are also provided in the paper as two separate theorems. Despite the fact that the paper focuses on the transient analysis of single isolated downtime event, the resultsare applicable to opportunistic maintenance scheduling, personnel staffing and downtime cost estimation.
机译:在制造业中,停机时间已被视为影响生产绩效的主要因素。为了实时提高系统性能,并为不同的站点正确分配有限的资源/精力,有必要量化每个站点停机事件对整个传输线的生产吞吐量的影响。要完整地描述影响,就需要仔细研究停机事件所扰动的生产线动态的瞬变。我们在本文中研究了单个隔离停机事件对不均匀串行传输线性能的影响。我们的数学分析表明,任何孤立的停机事件的影响只有在持续时间超过某个称为机会窗口的特定阈值时才相对明显。机会窗口的大小不仅取决于初始缓冲区级别,还取决于最慢站点的位置和处理速度。本文还以两个独立的定理提供了机会窗口的解析解和恢复时间的宽松上限。尽管本文着重于单个孤立停机事件的瞬态分析,但结果 适用于机会性维护计划,人员配备和停机成本估算。

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