Research On Optimization Model And Method For Closed-loop Supply Chain Network In Uncertainty

With continuous improvement of laws and regulations on recycling economic system, more and more enterprises will take the responsibility for recycling products. So closed-loop supply chain (CLSC) in which logistics and reverse logistics are integrated will be a new trend for Chinese enterprises. In this context, study of CLSC theory and method has great practical significance. CLSC management performance is fundamentally determined by rationality of designed CLSC network which is one of important research tasks in CLSC management. Considering uncertainty of recycling product quantity in CLSC on the based of examination of strengths and drawbacks of existing research on CLSC, optimization model and method of manufacturing/re-manufacturing mixed CLSC network are researched in this paper. The main work of this paper is as follows:The relative theories CLSC are discussed, and then the main purposes and significance of this paper are put up in chapter 1.The conceptual framework of CLSC is analyzed in chapter 2 and then the key processes and members of CLSC are discussed as well as the CLSC structures under different recycling channels.Four types of CLSC network and network design principles are analyzed in chapter 3. On the base of discussing products structure and processes of manufacturing/re-manufacturing CLSC network whose optimization purpose consist with cost, resource and environment.Probability distribution of recovered product quantity in CLSC network is discussed. Through comparison of optimazing methods for uncertaninty modle, the optimazing method of uncertaninty CLSC network is researched in chapter 4.The network optimization model is solved for an actual case with LINGO software in chapter 5. And then the model is also solved when we use general certainty method to transform the model. Finally, the chance-constrained programming is proved to be more effective for optimizing uncertainty CLSC network model after the comparative analysis of the two solutions. The conclusions about the paper are put forward, and a series of vistas to the future direction of research are designed in chapter 6.