摘要： 市场需求的不确定会对零售商订货决策造成困难。为解决该问题，将多产品报童模型与贪心算法相结合，基于主流开发技术，设计一个功能齐全、操作简便的零售商订货管理系统，为零售商在需求不确定情况下的订货决策提供支持。仿真实验结果表明，与依靠经验决策获得的订货方案相比，利用该系统求得的订货方案具有明显优势。

关键词: 报童模型, 贪心算法, 订货管理系统, 随机需求, 零售商, 订货决策

Abstract: Demand uncertainty brings great trouble to retailers ordering decisions. Based on mainstream development technologies and combination of newsboy model and greedy algorithm, an ordering management system for retailers is developed to support their ordering decisions. Simulation results show the ordering scheme provided by the system has great advantages. All models and technologies developed in this paper can be widely used and have an alluring prospect.

Key words: newsboy model, greedy algorithm, ordering management system, stochastic demand, retailer, ordering decision

中图分类号: 

• N945