Operation Strategies of Transportation Equipment Support Systems under Performance-based Contract

摘要

As the non-repairable parts come out randomly, in this paper we study the effect of the components damage on the transportation equipment support system. First the proposed system is defined and is modeled as a closed queuing network. Then the steady-state probability distributions are obtained, and then deduce steady-state performance measures. Later the support system cost structure is set up, the optimization model is established and the corresponding genetic algorithm is proposed. The numerical experiments simulate non-repairable part characteristics of different situation and present the corresponding optimal resource allocations of support system, which is obtained from the genetic algorithm. According to experiment results, we find the spare parts non-repairable rate cannot be ignored; when θ = θ_1, λ = λ_(max)~1 the total cost TC is minimum; μ_1, s of the optimal strategy increase with the adding θ, and μ_2 decreases with increasing the value of θ; μ_1, s of the optimal strategy decrease with the increase of λ~(-1), and μ_2 increases with the increase of λ~(-1).