Abstract
In order to guarantee the support equipment's quantity conforming to the maintenance support need precisely in the design and development phase, a model was established to optimize the support equipments' quantity jointly, which used the mean and variance of support equipment's utilization rate as the joint constraints, and the mean support equipment's fill rate as the objective function, respectively. Four types of relationship between support activities and support equipment (i.e., 1:1, 1:N, N:1, and N:M) were considered in the model and the adapted genetic algorithm (AGA) was chosen to obtain the model's solution because of AGA's excellent performance in global and local search. The proposed model was proved via a case study, and it could improve the allocation efficiency of the support equipments, and provide a solid approach for support equipment optimizing in the design and development phase.
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