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An Algorithm for Performance Evaluation of Closed-Loop Spare Supply Systems With Generally Distributed Failure and Repair Times

机译:具有分布故障和维修时间的闭环备件供应系统性能评估算法

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摘要

This paper proposes an algorithm for evaluating the performance of a closed-loop spare machines supply system when the time between failures as well as the repair times is generally distributed. The closed-loop system with finite number of machines and the generic time distribution assumption well represents real-life spare machines supply systems but at the cost of higher complexity. The increased complexity prohibits the use of existing models, which evaluate the performance of closed-loop systems assuming exponentially distributed failure and repair times. The Extended Bottleneck (EBOTT) algorithm in the literature estimates the performance measures of a closed-loop system with generally distributed repair service times. However, as our analysis indicates, the EBOTT algorithm may fall into an infinite loop even in assessing the performance of a simple spare machines supply system. The Modified EBOTT algorithm presented in this paper overcomes the shortcomings of the EBOTT algorithm and exhibits superior performance. Finally, through tradeoff analysis between spare machines inventory level and repair shop capacities, insights into the performance of such systems are presented.
机译:本文提出了一种在故障间隔时间和维修时间一般分布的情况下评估闭环备用机器供应系统性能的算法。具有有限数量的机器和通用时间分配假设的闭环系统很好地代表了现实中的备用机器供应系统,但代价是复杂性更高。日益增加的复杂性禁止使用现有模型,这些模型在假定指数分布的故障和维修时间的情况下评估闭环系统的性能。文献中的扩展瓶颈(EBOTT)算法估计了维修时间通常分布的闭环系统的性能指标。但是,正如我们的分析所表明的那样,即使在评估简单备用机器供应系统的性能时,EBOTT算法也可能陷入无限循环。本文提出的改进的EBOTT算法克服了EBOTT算法的缺点,并具有优越的性能。最后,通过在备用机器库存水平和维修车间容量之间进行权衡分析,可以得出对此类系统性能的见解。

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