Abstract:

Supply support optimizing is an important approach to improve operational readiness and reduce life cycle cost for equipments. Through analyzing the twoechelon supply support system for repairable spare parts of complex equipment, and researching the relationship of spare parts support and operational readiness, a supply support optimizing model is proposed, which chooses system supply availability as the object and the total acquisition cost as the subject. Marginal efficiency analysis algorithm is applied to achieve the optimization. Finally, several examples are given to verify that this model can optimize spare parts storage, and evaluate the effects on support efficiency of some important factors, including different stock, repair capacity of two levels, reliability and so on.