摘要
为了降低成本,取得企业竞争优势,合理进行配送成为实现物流规模经济、降低物流成本的重要手段。在一些模型假设的基础上,建立了目标函数为最小化运距的客户订单合成配送问题的数学模型,提出并实现了解决该问题的遗传算法。大量仿真结果表明:该算法能够在较短的时间内有效求得问题的近优解,该算法的运行时间主要取决于订单数和交货组数,为实现物流配送提供了一个基本方法。
Modern flow material is the important source for corporation to reduce cost and obtain competitive advantage. A mathematical model of customer order consolidation delivery problem is introduced based on some model hypothesis,in which the objective is to minimize the transportation distance. A genetic algorithm is proposed to solve this problem. Experimental results show that this algorithm can obtain effectively nearly optimization solution to customer order consolidation delivery problem in short time. The running time is decided by order quantity and delivery groups, and it provides a basic method for realizing the automation of material flow delivery.
出处
《控制工程》
CSCD
2005年第3期281-284,共4页
Control Engineering of China
基金
国家自然科学基金资助项目(60274027)
