Printing Industry Supply Chain Optimization Based On Neural Network Models And Their Applications

Supply chain modeling and optimization analysis is an important development direction of research and applications, as well as new challenges and opportunities in information and controlling fields. Based on different theoretical approaches, researchers have structured a variety of different supply chain management strategy and optimization models. Most of these models are complex linear programming or mixed integer programming models, including many variables and constraints conditions. Accordingly they are very hard to solve, and some are still stuck in the conceptual model stage.With the development and application of information technology, enterprises' data dimensions become increasingly huge. How to effectively use historical data, to dig up valuable information, to help enterprises making timely and accurate decisions for the future change, to gain the upper hand in the fierce market competition, is becoming an increasingly urgent problem to solve.In recent years, researchers set off an international wave of artificial neural network research. Its unique structure and information-processing methods are useful in many practical applications, and have achieved remarkable results, solved a lot of problems. Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc. Many aspects of supply chain management have already applied neural network technology, but until now, few people combine these two concepts together and systemically expound neural network applications in supply chain management. Thereby, it has very important meanings deepening the application research of neural network technology in supply chain management.This article does comparatively comprehensive research on both theory and methods of neural network technology applications in supply chain management. Firstly, based on supply chain management theory, the article satisfies the personal...