Abstract
Fleet-level selective dispatch under imperfect maintenance oriented to mission reliability is a practical, multi-level maintenance strategy decision problem that becomes highly difficult since the number of potential maintenance strategies dramatically increases. In this paper, the fleet-level selective imperfect maintenance model is established, and an evolutionary co-petition game theory based approach is proposed for optimizing the fleet maintenance strategy. During the route of the proposed method, each piece of equipment is considered as a game player, and an evolutionary co-petition game strategy is adopted for the dispatch and standby groups in each game round: a cooperative game strategy with strategy space generation way for the dispatch group to decrease the maintenance cost; and a competition game strategy between the dispatch and standby groups to select the optimal dispatch equipment. And a termination condition is given upon which the optimized maintenance strategy is achieved. A case study is further conducted on a fleet of 15 pieces of equipment under 5-level imperfect maintenance actions, and is compared with numerical simulation method. And the results validate that the proposed method possesses high efficiency and effectiveness in optimizing the fleet-level selective imperfect maintenance planning problem.
Highlights
Maintenance decision of how and when to arrange the repair actions is significantly important for industry equipment [1], while is a complicated process since many factors including reliability, maintenance time, cost and resource need to be considered [2, 3]
Condition based maintenance (CBM) is conducted based on the reliability estimated from various operating condition measurements [4], and has drawn much attention which could eliminate the risks related with preventive maintenance actions and reduce the unnecessary maintenance actions
In phase 3, a cooperative game algorithm is performed for the dispatch group which focuses on decreasing the maintenance cost, while the maintenance strategy for the standby group focuses on increasing the equipment reliability or decreasing the cost based on the health status
Summary
Maintenance decision of how and when to arrange the repair actions is significantly important for industry equipment [1], while is a complicated process since many factors including reliability, maintenance time, cost and resource need to be considered [2, 3]. Various methods have been developed for solving the maintenance strategy decision problem, including system simulation [27], mathematical programing [28], and heuristic algorithms [29,30,31] Among these methods, the game approach in the heuristic algorithm category exhibits high strategy optimization efficiency and is applicable for large equipment scale [1, 26, 32, 33]. The game approach in the heuristic algorithm category exhibits high strategy optimization efficiency and is applicable for large equipment scale [1, 26, 32, 33] These game approaches are only developed for fleet maintenance with perfect repair in which only two kinds of maintenance actions, i.e., do-nothing or replacement, are considered, while could not be directly applied to fleet imperfect maintenance that is more complex and practical since the maintenance resources and time are restricted. SSi r Maintenance strategy space in game round r miv Indicator and is 1 when Ei is repaired at ISSv
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