| 基于遗传算法的多周期随机需求IRP问题研究 |
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| 引用本文： | 孙斌锋,吕雄伟,李军.基于遗传算法的多周期随机需求IRP问题研究[J].商业研究,2007(9):1-5. |
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| 作者姓名： | 孙斌锋 吕雄伟 李军 |
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| 作者单位： | 西南交通大学,经济管理学院,四川,成都,610031 |
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| 基金项目： | 国家自然科学基金;教育部高等学校博士学科点专项科研基金 |
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| 摘 要： | 存贮路径问题针对当前供应链条件下库存控制与运输调度问题分别研究的现状,将二者整合系统加以分析;在分析现有问题求解方法的基础上,针对多周期随机需求IRP问题提出了基于遗传算法的求解思路,利用二进制编码处理零售商的库存策略。正交试验验证了算法的有效性,得到客户需求、运输车辆等相关因素不同程度的影响最优补货策略,从而有效求解多周期IRP问题。
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| 关 键 词： | 存贮路径问题 遗传算法 多周期 随机需求 |
| 文章编号： | 1001-148X（2007）09-0001-05 |
| 收稿时间： | 2006-12-15 |
| 修稿时间： | 2006年12月15 |
Study on the IRP with Multi - period and Stochastic Demand Based on Genetic Algorithms |
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| SUN Bin-feng,LV Xiong-wei,LI Jun.Study on the IRP with Multi - period and Stochastic Demand Based on Genetic Algorithms[J].Commercial Research,2007(9):1-5. |
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| Authors: | SUN Bin-feng LV Xiong-wei LI Jun |
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| Institution: | School of Economics and Management, Southewest Jiaotong University, ChengDu, 610031, China |
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| Abstract: | The inventory routing problem refers to the inventory and transportation control in uniform system under the traditional supply chain management. This paper focuses on the inventory routing problem with stochastics demand and multi - period time, and designs GA arithmetic to set up the mathematics model. It shows its reasonable results by angllcizlng the orthogonal test. It also finds in the test that customer demands, delivery vehicles and lead time affect the decision of the optimal delivery policies. |
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| Keywords: | inventory routing problem genetic algorithms multi - period stochastic demand |
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