Notice of RetractionJoint optimization model for support equipment´s quantity based on support equipment´s fill rate and utilization rate

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

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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.