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Demand chain management enterprises through various channels and means to maintain the business strategy with customers , sales channels and partners between demand and supply synchronization , a variety of applications in the enterprise as the core of demand chain integration strategy . Demand chain development and supplement of the supply chain . In this paper, the theory of demand chain management , and a number of key technologies , such as demand forecasts , demand chain optimization , demand chain synergy conducted in-depth research , and the development of the demand chain management system . First , the analysis of current demand chain management , basic theoretical framework for demand chain management . The framework mainly include demand theory , the theory of demand chain and demand chain management theory . Second, the demand forecast . Accelerate the replacement for the product , the product life cycle is getting shorter this situation, put forward the concept and realization method of the type of forecast ; using data mining method based on neural network and particle swarm optimization algorithm for neural network training , better types of forecasting software can be used to solve the type of prediction problems , the development of the potential demand forecast . Then, the analysis of the common myths in the demand chain optimization , demand chain optimization principle , and compare the supply chain and demand chain analysis of the advantages and disadvantages of and demand chain model based on Mobile Agent , and further proposed bus demand chain optimization model for effective information sharing . Then , ESB features and requirements demand chain collaboration , demand chain collaboration model based ESB . The model can effectively meet the demand chain flexibility , real-time and interactive needs . Finally, a J2EE-based , with a core function of demand chain management system designed and implemented .
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