Uncertainty-oriented Supply Chain Performance Optimization Technology Research

In recent years, the global market environment has been changed obviously: globalized market, exact customer demand, shorten new product development. Supply chain is the competitive advantage technology when enterprises face highly competitive market environment. Former U.S. Treasury Secretary Rubin said: "With regard to the market, the only determined thing is uncertainty." According to the inherent characteristics of supply chain, ignoring supply chain uncertainty is impossible and uncertainty is remarkable difficult for supply chain management and optimization.With the support from the National High Technology Research and Development Program of China and Key Scientific & Technological Research Projects of Zhejiang Province, the spread mechanism, control strategy, spread process description, and influence model of supply chain uncertainty, supply chain performance, static performance optimization, dynamic performance optimization, and simulation optimization technology have been intensively studied.In chapterâ… , based on the review of supply chain management, we elaborated the significance of uncertainty-oriented supply chain optimization research. Then, according to the current research progress and the shortcomings of domestic and international supply chain uncertainty optimization, we proposed the research objective, main contents and framework of the dissertation.In chapterâ…¡, after classifying the typical uncertain phenomenon in supply chain, 4 kinds of supply chain uncertainty were presented. Then, through the analysis of the spread process, the spread mechanism and control strategy of supply chain uncertainty were studied. On the basis of analyzing the approach, objective and technology of uncertainty-oriented supply chain optimization, supply chain performance divided into static and dynamic performance and the uncertainty-oriented optimization solution of supply chain performance was proposed.In chapterâ…¢, to enhance the ability of resisting supply chain uncertainty, the method of supply chain static performance optimization was studied. The method includes 3 parts: supply chain network optimization, multi-objective fuzzy optimization, and performance simulation of supply chain static performance. Furthermore, the reasonableness and effectiveness of supply chain network optimization and multi-objective fuzzy optimization result were verified by performance simulation.In chapterâ…£, 3 descriptive layers of supply chain uncertainty were proposed, i.e., single description, spread process description and influence model of supply chain uncertainty. In addition, the difficulties when establishing the spread process description and influence model, such as data loss, unclear relationship description, imbalance sample data and dynamic were dealt with, via the corresponding tools, i.e., rapid data recovery, Noisy-OR gates model, and network data amalgamation were advanced.In chapterâ…¤, to control supply chain uncertainty dynamically and effectively, the method of supply chain dynamic performance optimization was discussed. The method was based on Dynamic Influence Diagrams, established the corresponding simulation model and the solving method based on simulation optimization technology. In addition, by means of calculating the numerical example, the feasibility and effectiveness of simulation optimization and Dynamic Influence Diagrams in supply chain dynamic performance optimization were proved.In chapterâ…¥, a summary of the dissertation and the future work of this research were discussed in the final section of the dissertation.