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

机译:一种具有一般分布式故障和修复时间的闭环备用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:本文提出了一种评估闭环备用机器供应系统的性能的算法,当故障之间的时间以及修复时间通常分布。闭环系统具有有限数量的机器和通用时间分布假设井代表了现实生活备用机器供应系统,但成本较高。增加的复杂性禁止使用现有型号,该模型评估闭环系统的性能假设是指数分布的故障和修复时间。文献中的扩展瓶颈(Ebott)算法估计了具有一般分布式维修服务时间的闭环系统的性能测量。然而,随着我们的分析表明,即使在评估简单备用机器系统的性能方面,Ebott算法也可能落入无限循环。本文提出的修改的Ebottim算法克服了Ebott算法的缺点,并且表现出优越的性能。最后,通过备用机器库存水平和维修店的权力分析,介绍了这种系统性能的见解。

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