The Design Of Supply Chain Networks And Fuzzy Multi-objective Optimization Based-on Fuzzy Theory

The dynamic and complexity of supply chain make various uncertainties lie in the net of supply chain ubiquitously.The uncertainties obstructed the cooperation among the node enterprises on the supply chain and affected supply chain's fulfilling it's performance.To this,people,on one hand,eliminated or slowed down the influence of various uncertainties in supply chain with maximum by establishing cooperation mechanism and adopting new technology of network information communication;On the other hand,people explored the Policy-making optimization under the condition of uncertainty to advance the good operation of supply chain effectively.The development and continuous perfection of uncertainty theory provided mathematics tools for researching the operation of supply chain under the condition of uncertainty.Combining with 863 topics,this thesis,under the support of Fuzzy theory,discussed and studied the construction and optimization of the net of supply chain under the condition of fuzzy uncertainty.Chapter 1 is the Preface,which elaborated the research background and motivation of this thesis,and looked back the present condition of relevant field of thesis.Then analyzed the concerning hot of supply chain,and pointed out the shortages existed in relevant research and put forward this thesis's research target,The content and framework of the research is given on this basis.Chapter 2 researched the creation mechanism,function method and manifestation of uncertainty in the supply chain network and discussed the characteristics of uncertainty of supply chain and the corresponding control mechanisms and management techniques. Besides controlling,the way to treat the uncertainty of supply chain is to express it effectively and bring it into the decision process,so as to minimize the impact of the uncertainty to the lowest extent.For fuzzy uncertainty,this thesis,on base of full using the knowledge of fuzzy theory,researched parameters,goals and the fuzzy description of the uncertainty in the process of decision-making,and put forward the construction and optimization system based on fuzzy theory,which provided technical support for the following research.Chapter 3 analyzed the existing problem in the construction of the net of supply chain,especially in the selection of partners in the condition of fuzzy uncertainty,and put forward the evaluation and selection method of supply chain cooperated partner,which, dominated by supply chain strategy.It contained two types of qualitative and quantitative multi-variable and multi-attribute.The research in this thesis focused on three aspects:the first parts are the general methods of assembly of discrete fuzzy information which reflect the wishes of policy makers and Corresponding determination of weight vector of semantic ambiguity;the second ones are the classification of importance of multi-attribute in supply chain and fuzzy semantic matching;the third aspects had a rough mission distribution of supply chain which uses the comprehensive evaluation of selection of partners of supply chain as the proportion and thus formed the initial network of supply chain.chapter 4 studied the optimization of supply chain network facing fuzzy cooperation game.It put forward the way of optimization of supply chain network based on mission distribution and balanced profits.Starting from opportunity cost and glad to pay,it studied the cooperated multi—game of node enterprises in supply chain network and the existed stable fuzzy nuclear;expanding fuzzy nuclear into fuzzy multi-objective activity treating value;Setting up fuzzy multi-assignment game model that responded by cost and time; Introducing the conception of full obscurity to have a study of the enquiry of fuzzy multi-assignment game model.In this way,it reached a optimized subnet of supply chain that the interest is distributed balanced satisfied by special goal.Chapter 5 had a study of supply chain network optimization facing fuzzy multi-objective concentrated decision-making.It carried out inspection of three goals in supply chain network such as production cost,investment cost and rate of customer satisfaction and found that conflict among multi-objective can't be matched in the same time;Discussing the degree of goal satisfaction of fuzzy expression when coordinated goals; Analyzing the fixing way of the proportion of multi-objective under the way of concentrated decision-making of supply chain;Putting forward the thinking of multi-objective model based on decision-maker's mutual satisfaction and compensation for goal satisfaction level. Therefore,it met the supply chain optimization subnet of multi-objective..Chapter 6 had a study of the optimization of the supply chain network under the fuzzy multi-objective distributed decision-making way.One important characteristic of distributed decision-making way is group decision-making and levels decision-making.Then,it introduced multi-objective multi-level planning to describe such characteristic of supply chain distribution decision-making under fuzzy uncertainty and set up double fuzzy multi-objective planning model.Making full use of the mechanisms of the priority decision-making and dialogue decision-making;Researching the interactive satisfied method of the optimization of level objective.Therefore,it met supply chain optimization subnet of satisfaction and coordination of level objective under the way of distribution decision-makingIn the end,it made a conclusion of the researching content of this thesis and pointed out the innovation,the place that needs to improve and to deep and the future direction.