关键词: 库存路径与定价问题, 需求周期循环波动, 车辆租赁, 混合整数非线性规划模型, 粒子群优化算法

Abstract: Aiming at the Inventory Routing and Pricing Problem (IRPP) under periodic and cyclic fluctuation of demand,the demand pricing function of suppliers was developed in each period of peak demand by analyzing the interaction and constraints among supplier pricing,vehicle rental cost and product demand.An IRPP mixed integer nonlinear programming model considering vehicle leasing was constructed,and an improved particle swarm optimization algorithm was designed.A numerical example was given to verify the effectiveness of the method.The research results indicated that the optimization of IRPP could effectively improve the profit of the supplier.It could also significantly reduce the inventory level of retailers without reducing the demand of products and the delivery volume of the supplier.In addition,the number of distribution vehicles required during the trough period of product demand was the best vehicle ownership for the supplier.

Key words: inventory routing and pricing problem, periodic and cyclic fluctuation of demand, vehicle leasing, mixed integer nonlinear programming model, particle swarm optimization algorithm