Abstract:

Several maintenance policies could be applied comprehensively to furthest improve the availability of equipment. Focusing on phased mission of equipments, maintenance actions are arranged during intervals of task stages, and components are sure to fail probabilistically to get expected maintenance time of each stage. Then, the definition of system availability is provided considering three maintenance policies and delay time raised. To maximize the mission availability, a nonliner, integer programming model is established at the base of impact of task allocation plan and selective maintenance strategy. A modified genetic algorithm is raised to solve the model actually, where a new chromosome format with multilevel and segmentations expresses the optimal scheme, and algorithm operators are adjusted to carry out. Finally, an example is provided to verify the validity and feasibility of the model and algorithm, which suits decision makers to make reasonable arrangements of mission and maintenance.