Abstract :
In recent years, with the high-speed development of Internet and the rise of B2B e-commerce, it is necessary for coping with resource allocation, dynamic order, flexible pricing, market scheduling and other problems as fast as possible to establish efficient and flexible supply chain decision-making system. Firstly products of different life cycle were clustered in the paper. Then the C5.0 classification tree algorithm was used to establish the product sales model and establish Bass curve fitting function. Next, the newsboy procurement sales model was improved and the pricing and production models of B2B manufacturer with sales curve were established. What´s more, the sales data of dozens of clothe of large-scale garment enterprises were analyzed by a experiment, and the results is good. the study in the paper is significant for the development of B2B supply chain in theory and practice.
Keywords :
Internet; curve fitting; data mining; electronic commerce; pattern classification; supply chains; trees (mathematics); B2B E-commerce supply chain; B2B manufacturer; C5.0 classification tree algorithm; Internet; bass curve fitting function; data mining; dynamic order; flexible pricing; flexible supply chain decision-making system; large-scale garment enterprises; market scheduling; newsboy model; newsboy procurement sales model; product sales model; resource allocation; Clothing; Data mining; Marketing and sales; Predictive models; Pricing; Supply chains; B2B; Data Mining; Newsboy Model; Supply Chain;
