In view of the high operating cost of the equipment maintenance support warehouse system, unreasonable warehouse location layout, unreasonable spare parts inventory structure and so on, this paper establishes a joint optimization model of equipment maintenance spare parts warehouse location-inventory control decision-making based on the multi-item joint replenishment problem. The model can be used to solve the warehouse location, demand point assignment, warehouse replenishment time and inventory level. According to the structural characteristics of the model, the traditional fruit fly optimization algorithm is improved by using the multi-swarm co-evolution feature, and a hybrid fruit fly optimization algorithm with internal and external search strategies is designed. The outer searches strategy search for warehouse location decision variables, and the inner search strategy uses an improved RAND algorithm to search for inventory control decision variables. The simulation results show that the hybrid fruit fly optimization algorithm has good solution efficiency, which ensures that the inventory system can effectively reduce the total inventory operation cost on the basis of a certain service level.