Apparel Inventory Control And Neural Network Forecast Algorithm Research

As a great manufacture nation, apparel industries play a key role in our country. The problems of overstock and out-stock faced by the apparel enterprises have seriously weakened competitiveness of related industries and influenced the healthy development of them. The problem of inventory control is the key problem of the enterprise concerned. Under such situations, it is more effective for us to use skills and methods of stock control and neural network forecast algorithm to solve such questions. This article tries to use the theory of BP algorithm reasonably to control the inventory and thus to seek practical strategies to settle the problems in our apparel industry.The paper has carried on the summary to the domestic and foreign tradition's inventory control present situation, pointed out the tradition inventory control method existence question. To eliminate the enterprises' high inventory and improve the customers' service, this paper discussed the new idea and method that manage the inventory by using the BP neural networks technology and Through MATLAB simulation algorithm. This is a new idea and a new managerial technique research and the application bold attempt.(1)Based on theoretical analysis, be combined with the positive research and qualitative analysis, set up management system on optimized demand chain stock ,which is fit for the clothing enterprises. In the forecasting and calculating inventory management mode is set up, which is used to predict and calculate optimized stock in batches rationally.(2)Introduced ANN, especially the principle and algorithm of BP network, discussed constitution, formulation and characteristic of, as well as the sample selection and pretreatment. It was approved 3 layer BP network can realize all complicated input and output relationship.(3)Introduced product requirement forecast system in apparel enterprise. It was proposed to formulate planning BOM with BP network, then studied and prepared basic mode design according this. Meanwhile, we also make compared study with current method; use average historical data.(4)Introduced program realization of BP network, it was in detail discussed the forecast system mode with BP network to be realized with MATLAB program. Make forecast for the planning BOM with trained network, make sure the effectiveness and liability of this mode. The result showed the new system with BP network is better obviously than the old system which only uses historical data average result in the factory.(5) After enterprise's stock management flow thorough analysis, the stock management inventory made up the goods model to do the research, gave the stock to make up the goods model, has established the management information system using the VB procedure.