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MACHINE INTERFERENCE PROBLEM WITH A RANDOM ENVIRONMENT
DOI:10.1016/0377-2217(93)90338-N.png)
摘要
En 中文
This paper is concerned with a queueing model to analyse the asymptotic behaviour of the machine interference problem with N machines and a single operative. The running and repair times of each machine are supposed to be exponentially distributed random variables with parameter depending on the state of a varying environment. Assuming that the repair rate is much greater than the failure rate ('fast' service), it is shown that the time until the number of stopped machines reaches a certain level converges weakly, under appropriate norming, to an exponentially distributed random variable. Furthermore, some numerical examples illustrate the problem in question in the field of textile winding.
Keyword:
MACHINE INTERFERENCE PROBLEM
RANDOM ENVIRONMENT
FAILURE-FREE OPERATION TIME
WEAK CONVERGENCE
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期刊
IF:
6
论文数:
2.2W
被引数:
6.4W
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