Inventory Optimization Of New Products Under Uncertain Demand

With the development of science technology and customer demand changes rapidly,resulting in product life cycle shortened,the new products update faster and faster.Grasping the actual situation is particularly important for the decision makers,So,combining the preferences of decision makers into models,not only can increase the fittness between the model and the actual situation,but also can better reflect the decision maker's preference information.This article establishes the new products hybrid inventory management model and combines the solution of a numerical example under the uncertain demand,considering the shortage,the total cost of inventory and the stock levels of three optimization targets,and fuzzy demand in the future is described by the trapezoidal fuzzy numbers,the preference affects the constraints of the shortage loss and the total storage space.Additionally,using the NSGA-? algorithm to solve the mold,to test the reliability of hybrid inventory model,and compared with Joubert inventory model and the classical inventory model,It finds that the inventory model in this paper is reliable.The research gives decision makers some advices on inventory management of new products,and solve the new product inventory management problem under the lack of historical data.