Supply Chain Inventory System Optimization And Coordination Contract Models

With the development of science and technology and the innovation of management ideas, enterprises increasingly realize that the competition has not merely happened between enterprises, but mostly between the supply chains. The study on supply chain inventory system optimization and coordination becomes hot spot in recent years. There are a number of papers presented. This paper devoted to the study and analysis of contract models in supply optimization and coordination from a new perspective, the main research contents follows:On the basis of introducing some principle on caption and some advanced theory and technique in inventory optimization and coordination mechanisms, chapter 1 summarizes the research status of inventory optimization and coordination mechanisms in SCM, then points out the problems that exist in inventory management system. According to these, the objective of the thesis is pointed out, and the research frame is presentedIn chapter2, first puts forward the concept of mixture random variable, and used for description of uncertain demand. Then make search for multi-echelon and short period inventory system optimization problem based on fuzzy random or mixture random demand expected value theory. In chapter2 formulate an inventory system optimization model which make whole profit biggest through integrated inventory management and a quantity discount contract model based on coordinating cooperative partner benefit, and put forward an intelligence algorithm based on genetic algorithm combined with computer mixture random variables simulation. Finally, a data simulation analysis is made.In chapter3, we introduce the financial risk control tool the——conditional value-at-risk to study risk-averse supply chains optimization and coordination mechanisms problem. First, for a two-echelon supply chain with a risk-averse supplier and risk-averse retailer, we construct the conditional value-at-risk model, the optimal ordering quantity model, the returns contract model and the Revenue-sharing contract model based on Cvar under random demand. Then, we analyze the model and reveal the impact of risk aversion on supply chains coordination, the optimal ordering quantity and the contract parameter decisions. In chapter2, we have also given numerical results to verify the conclusions presented in this paperIn chapter4, we put forward the conception of value-at-risk-taking and conditional value-at-risk-taking, and introduce it to study risk-taking supply chains optimization and coordination mechanisms problem. First, for a two-echelon supply chain with a risk-taking supplier and risk-taking retailer, we construct the conditional value-at-risk-taking model, the optimal ordering quantity model and the returns contract model and the Revenue-sharing contract model based on CVaRT under random demand. Then, we analyze the model and reveal the impact of risk-taking on supply chains coordination, the optimal ordering quantity, the contract parameter decisions, and cooperation stabilization. We have also given numerical results to verify the conclusions presented in this paperIn chapter5, we introduce conditional value-at-risk and conditional value-at-risk-taking to study risk-averse and risk-taking supply chains optimization and coordination mechanisms problem. First, for a two-echelon supply chain with a risk-averse(or risk-taking) supplier and risk-taking (or risk-averse) retailer, we construct the conditional value-at-risk and conditional value-at-risk-taking model, the optimal ordering quantity model and the returns contract model based on CVaR or CVaRT under random demand. Then, we analyze the model and reveal the impact of risk aversion on supply chains coordination, the optimal ordering quantity and the returns price decisions. Finally, we have also given numerical results to verify the conclusions presented in this paperThe theoretical meaning of innovative working and the practical value of this paper are as follows:(1) This paper comes up with the theory of mixture random variable, which provides a method to describe the complex uncertain demand of coexistence of randomization and fuzziness and make the research on uncertain demand theory intensive. The multi-echelon and short period inventory system optimization model under mixture random demand and the coordinate contract model it established provide the theoretical and methodological guide for the practical multi-echelon inventory system optimization and coordination.(2) Most of the supply chain optimization and coordination contract model assumed that the decision maker is risk-neutral with the evaluation criterion of profit maximization or cost minimization.. However, in practice these models don't apply to the decision makers with risk-averse and risk-taking. Currently, the main method to describe supply chain risk is mean-variance approach. But the calculation is complex and the result cannot be formulated by a simple formula. Therefore, it's hard to practice. The conditional value-at-risk-taking-averse theory presented in this paper provides a good Coherent risk-measuring method. The random demand based on these theories, the conditional value-at-risk-taking-averse model having two-echelon supply chain with a risk-taking supplier and risk-taking retailer and optimized ordering model based on conditional value-at-risk-taking-averse model, returns contract model and the revenue-sharing contract model, compared with the mean-variance approach because of the good the computation characteristic and the definite practical meaning of parameter, it can be practiced conveniently, so it provides a convenient and practical decision-making tool for the decision makers with different risk attitudes towards supply chain.Supply Chain Management (SCM) had attracted much attention and had been widely and deeply studied in recent years, the enterprises of our country treat supply chain management as an important content of enterprise strategy management. Colleges, universities and research institutions also treat it as an important project. It appears in the significant projects of National Nature Science Fund and "863/planning". Under such circumstances, as an important aspect of supply chain management, this paper has both theoretical meaning and guiding realistically significance.