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In many industrial environments, maintenance is performed during successive mission breaks. In these conditions, it may not be feasible to perform all possible maintenance actions due to limited maintenance resources such as time, budget, repairman availability, etc. A subset of maintenance actions is then performed on selected components such that the system is able to meet the next mission requirement. Such a maintenance policy is calledselective maintenance. In this article, a selective maintenance strategy is developed for a MultiState System (MSS). The system can have several finite levels of performance in an MSS. Previous studies on selective maintenance have solely focused on MSSs with binary components. However, components in an MSS may be in more than two possible states. Hence, a series-parallel MSS that consists of multistate components is considered in this article. Imperfect maintenance of a component is considered to be a maintenance option, along with the replacement and the do-nothing options. Maintenance resources need to be allocated such that maximum system reliability during the next mission is ensured. A universal generating function is used to determine system reliability. An illustrative example is presented that depicts the advantages of utilizing imperfect maintenance/repair options. [ABSTRACT FROM AUTHOR]

This article considers the determination of the optimal burn-in time, the degree of preventive maintenance, and the preventive maintenance interval (or, equivalently, the number of preventive maintenance actions) for warranted products with time-dependent maintenance costs. The expected cost function is derived by adopting an appropriate age-reduction model and the determination of the optimal joint solution is discussed. Finally, the impact of providing a burn-in/preventive maintenance program is evaluated through numerical examples. [ABSTRACT FROM PUBLISHER]