Location and inventory optimization model of spare parts warehouse based on uncertainty theory

In equipment integrated logistics support, support activities and support resources have a vital impact on the availability of equipment system. Spare parts warehouse location and inventory strategy will directly affect spare parts supply, and finally affect the system operation. Therefore, this paper establishes an optimization model of spare parts warehouse location considering inventory strategy. In order to deal with the epistemic uncertainty of spare parts demand, the uncertainty theory is introduced. The model aims at reducing the comprehensive support cost, adds the supportability parameters to the model constraints, and optimizes the inventory control and spare parts warehouse location as a whole. The genetic algorithm is used to solve the model, and the optimal location scheme and inventory strategy meeting the supportability constraints are obtained. Based on the proposed model and calculation results, the accuracy of equipment support can be improved and the support cost can be reduced as much as possible on the premise of ensuring equipment availability.