Ordering Strategy Of New Energy Vehicles Considering Learning Curve Effect

The goal of traditional newsvendor model is often utilized to analyze the problem of profit maximization or cost minimization. However, in reality, decision makers always show the bounded rationality. It leads to the bias between the actual ordering behavior and optimal decision of the classical newsvendor model. Therefore, it is important to establish a loss-averse newsvendor model which is closer to the real decision-making behavior. With the development of society, energy deficiency becomes a major problem all over the world. The automobile industry has put more and more efforts to improve the development and application of new energy vehicles.This research based on learning curve effect and lose aversion aims to build models of supply chain of new energy vehicles. For a rational decision-maker, this study finds the new energy vehicle manufacturer can pass a certain proportion to obtain the government subsidies allocated to new energy vehicle retailer considering the effect of learning curve, and there exists the optimal allocation proportion which makes the whole supply chain collaborated; more higher the new energy vehicle manufacturers learning efficiency is, more order quantity when decentralized decision making; the subsidy that provided by government can motivate the production of NEV and improve the total revenue to some extent. For a loss-averse decision-maker, supply chain can achieve coordination through the same way, the total revenue under loss aversion is less than the revenue of entire rationality; with the increase of loss aversion, the total revenue decreased, and learning efficiency makes the whole supply chain profitability rate less than when the learning efficiency of manufacturer is low. The revenue of manufacture and retail increases if the subsidy increases. This thesis further summarizes the properties of the proposed models and provides the optimal solutions to the models.The results of this thesis can provide valuable guidance for government, manufacturer and retailer for making the better policies.