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Optimal random replacement models with continuously processing jobs

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  • Mingchih Chen

Abstract

In some practical situations, it would be impossible to conduct a replacement action for an operating system during the middle of a job and might be wise to wait until the completion of its operation. First, this paper considers age replacement policies for a system, which continuously works for multiple jobs with random working times. Next, the system can undergo minimal repairs upon failures and is replaced at the first completion of the working time over a planned time T. Finally, when a job incurs some damage to the system, the replacement model over time T is applied. The expected cost rates for these modified models are derived, and the optimal maintenance policies, which minimize the expected cost rates are obtained analytically. Copyright © 2012 John Wiley & Sons, Ltd.

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  • Mingchih Chen, 2013. "Optimal random replacement models with continuously processing jobs," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 29(2), pages 118-126, March.
    • Handle: RePEc:wly:apsmbi:v:29:y:2013:i:2:p:118-126
    DOI: 10.1002/asmb.952
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    Cited by:

    1. Sheu, Shey-Huei & Tsai, Hsin-Nan & Sheu, Uan-Yu & Zhang, Zhe George, 2019. "Optimal replacement policies for a system based on a one-cycle criterion," Reliability Engineering and System Safety, Elsevier, vol. 191(C).

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