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Performance prediction of supply chain is an important content of supply chain management. This paper establishes a supply chain performance prediction model by using fuzzy neural net in combination with fuzzy rough set based on Knowledge Discovery in Data (KDD) and Data-mining Technology. Through a case of supply chain performance prediction, the author reduces the indexes of an evaluation index...
Supplier lies in first node of SC (supply chain). Rational supplier evaluation and selection are important to the whole SC's agility and competition. Based on analysis of supplier management, Supplier evaluation guide line is discussed in paper. Then neural network-based supplier evaluation model is established. BP dynamic neural network is applied in constructing model and the amelioration weight...
Supply chain is a complicated, open system, for the constant development, and fierce degree of market competition of the society increase day by day, the discrimination and management of risk of Supply chain are more essential. Kinds of risk factors of Supply chain are analyzed in the text, according to the influence degree of each risk factor, a method combined BP neural network and fuzzy evaluation...
For implementing supply chain management effectively, a manufacturing supply chain performance evaluation model was proposed based on heuristic attribute reduction and neural network from the perspective of Knowledge Discovery and Data Mining firstly. Then, the calculation and analysis process of the model was given and discussed. The performance decision-making table and discernable matrix were designed,...
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