Research On Supply Chain Optimization And Coordination Contract Model Considering Fuzzy-Risk Controlling

As an important research topic of supply chain management, Supply Chain Optimization and coordination has get the attention of many scholars since it was proposed and expansion-related research has quite diversified developed. The classic theory of expected benefit has always been employed to solve the optimal order quantity in the largest gains of the supply chain, however, after years of research and exploration, it has been proven classic contract model does not meet the needs of practical application, it does not reflect the actual decision-making process whist the decision-making of supply chain members. Since then, more and more scholars began to expand the integrity of the model contract from different angles, including consideration of market demand uncertainty, supply chain members in different decision-making approach; gradually they have achieved considerable research. Yet, in the existing research, it does not have corresponding literature study to organize the research into system describes existing research and also the literature studies of relatively are fragmented.Despite the research on the uncertainty of the market demand and the risk attitudes of members already has enjoyed a considerable size, but most of them are based on conditions of random demand and then expand the study, but the actual situation is that the market demand has great ambiguity, the exact market demand cannot be determined but only gives a relatively accurate range. Therefore, the study under the condition of fuzzy demand supply chain optimization and coordination has important practical value. Meanwhile, another important factor that impact the supply chain contract coordination is the effectiveness of supply chain risk attitudes, different risk propensity will affect the optimal order quantity of contract model, at this point if we continue to follow the simple assumption of rational man is clearly not the perfectly coordinated practice of supply chain contract.This paper summarizes the domestic and foreign-related supply chain contract model study, combined with the fuzzy theory, based on the classical contract model, the paper gives the study of supply chain contract coordination based on fuzzy risk control. Purpose and significance of this study is that, first of all, theoretically enriched the content of the study of supply chain management, supply chain coordination contract research has been added a new achievement, secondly, improve the inadequacies of classical model, the new contract model can be better used in a specific supply chain management practices, to provide a better business decision reference and guidance.Based on the research process, the paper mainly completes the following two tasks:(1) Buyback contract model based on fuzzy optimistic value. Combined with fuzzy theory, on the basis of classical contract model this paper established a fuzzy environment based buyback contract model considering fuzzy optimistic value. In this paper, the text gives the specific model and solution methods and processes. Though a numerical example, this paper discussed the impact of fuzzy preference characteristics of supply chain on the optimal order quantity of the supply chain in details, and the impact on the contract coordination outcomes.(2)Buyback contract model based on fuzzy pessimistic value. Based on the previous research, this paper presents further risk aversion on buyback contracts and revenue sharing contract considering characteristics with fuzzy risk-aversion conditions. Unlike the optimism condition above, optimal order quantity under fuzzy pessimistic conditions will drop with the supply chain risk aversion level rises. Finally, the new contract models are tested with a numerical example, and resulted in a different outcome of the coordination.Finally, the paper summarizes the achievements obtained in the study of studies, analysis and point out the inadequacies and the direction for further work.