Spare Parts Inventory Management Method For Large Equipment

With increasingly market competition and various customized demands, the product-service system has been playing more and more important parts in the large-scale equipment suppliers. The product-service system can strengthen the service ability, but it also has brought many problems in the spare parts inventory management.With the background of the optimization of spare part inventory management for complex machine project, a solution is developed through efforts of investigation and analysis, problem abstracting, theoretical research and application, which can be used in the similar company. This research includes the forecast of spare parts demand, optimal of inventory control strategy and improvement in inventory management system.Firstly, there are some mistakes in choice, pretreatment and forecasting the demand of spare parts demand in some researches, such as improper data set, using raw datum indiscriminately and ignoring the relationship between the datum and the equipments'characters, which need to be improved. Considering the characters of industrial equipments, which are spare parts in large-scale air compressors here, spare parts historical demand data series were pretreated. Based on this a forecast model of time series demand of spare parts was presented with BP neural networks. In the end, the processed demand time series datum were input into neural networks forecasting model. The forecasting results between raw datum and processed datum, which were using neural networks, were compared .The phenomena of"lack-training"vanished, and the average deviation rate remarkably reduced.Secondly, a model on multi-echelon inventory system of spare parts in the after-sale service market was proposed based on the analysis to the characteristic of spare parts demand in the product-service system. Considering the spare parts supply quality in the after-sale service, the factor, such as ordering quantity of spare parts,safety storage, inventory cost, were researched on the basis of the model. Finally the inventory control parameters were exploited, which aims at the maximum profit in the spare part inventory. The method can provided quantity solution in the multi-echelon inventory management. Experiments show the method that proposed in this paper is valid.Finally, modify the inventory management system through analyzing and simulating the inventory management structure. The research focuses on the three main parts of the spare parts inventory, such as organize structure, working process, and collocation of inventory resource, on the basis of analyzing the present product-service system in the enterprise. This paper analyzed the basic process in the spare parts management system, established the optimized simulation model and arithmetic. Then, the spare parts supply chain in the product-service system was carried out in the visualized Arena simulation situation. The result of the simulation can be used in validating the inventory control strategy and provide the advice on the related source collocation.In conclusion, the system method raised in this paper provides solution in the large-scale equipment suppliers'spare parts inventory management, especially when the supplier is transfer its after-sale service from a traditional system to a product-service system.