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为研究多种随机因素对一类两部件串联系统预防性维修决策的影响,提出一种拟周期预防性维修策略优化模型.假设预防性维修对部件1为完整修,对部件2为保养,预防性活动在实施区间内根据动态计划随机进行;意外更换和预防性更换的竞争结果决定系统的更换,当部件2发生严重故障时引发系统的意外更换,当预防性维修次数达到设定的阈值N时实施预防性更换.通过建模和优化分析,给出了最优预防性维修实施区间和最佳维修次数的求解算法,并通过数值案例对模型的优化过程和参数的敏感性做了说明.分析结果表明,在满足实际生产需求的前提下,尽可能地缩短实施区间能提高系统的平均运行时间和降低系统的长期运行成本率.
In order to study the influence of many random factors on the preventive maintenance decision of a kind of two-component series system, a quasi-periodic preventive maintenance strategy optimization model is proposed. Suppose that preventive maintenance is a complete repair of component 1 and maintenance of component 2, Sexual activity is carried out randomly according to the dynamic plan during the implementation interval. The competition result of accidental replacement and preventive replacement determines the replacement of the system. When there is a serious failure of the component 2, the accidental replacement of the system is triggered. When the number of preventive maintenance reaches the set threshold N , The preventive maintenance is implemented.According to the modeling and optimization analysis, the optimal preventive maintenance interval and the optimal maintenance times are given, and the numerical examples are given to illustrate the optimization process and the sensitivity of the model. The analysis shows that shortening the implementation interval can improve the average running time and reduce the system long-term operating cost under the premise of meeting the actual production needs.