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Demand forecasting is the basis of business operation in a company and the forecasting accuracy has a great effect on safety inventory, profit and competitive power of the company. In this paper, a novel genetic algorithm (GA) and back propagation (BP) algorithm based fuzzy neural network (GABPFNN) model is proposed for demand forecasting, in which new kinds of fuzzy rule generating and matching algorithms...
Demand forecasting plays a crucial role for supply chain management of retail industry. The future demand for a certain product constructs the basis of its relevant replenishment system. In this research, the technique of support vector machine (SVM) is employed for demand forecasting. Various factors that affect the product demand such as seasonal and promotional factors have been taken into consideration...
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