Optimal Maintenance Policies for a Multistate System with Multiaction Subject to Imperfect Maintenance
|關鍵字:||多重狀態;多重非置換性維護行動;依視維護行動的風險;依視維護行動總數的故障率;控制極限法則;週期性維護;Multistate;multiaction;action-dependent risk;action-amount-dependent failures;control limit limit rule;periodic maintenance|
Although preventive maintenance (PM) problems have received extensive attention, relatively few studies have addressed multiple nonreplacement maintenance actions for a multistate system subject to action-dependent risk and/or the number of PMs. In this dissertation, we examine such multiple maintenance actions by viewing a coherent multicomponent system and the necessary maintenance action and cost which move the current state to an extremely better state dependsa on the current state. Two preventive maintenance models are then presented in this dissertation. One assumes that each maintenance action regarding state improvement has a probablistic risk which is ineffective. Such a situation is referred to herein as an imperfect maintenance action. The above problem is also modeled as a Markov theory-based maintenance problem, thereby minimizing the total expected discounted cost over a specific planning horizon. Another maintenance model assumes that the number of PMs may significantly affect the failures of a multistate system. Such a situation is also referred to herein as an imperfect maintenance action. The above problem is then modeled as a renewal theory-based maintenance model, thereby minimizing the life cycle cost over a specific planning. In addition, two models' characteristics are elucidated to demonstrate that Markov theory-based and renewal theory-based models have an easily computed and implemented control limit rule and the optimal PM cycle time, respectively.