Using the property of Markov at the points of replacement period, a model of determining the optimal period is developed with objective of maximizing the mean time to first failure of system.
利用在更换周期点上具有的马尔可夫性质，以系统首次故障前平均工作时间最大为目标建立了确定最佳更换周期的模型。
The problem is to determine the optimal replacement policy ( N , T )? such that the long-run expected cost per unit time is minimized.
利用几何过程，以系统大修次数N和大修时间间隔T为更换策略，选择最优策略（ N ， T）使系统经长期运行单位时间的期望费用最小。
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