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单周期离散随机需求的库存-运输整合优化
Optimization on ITIO of Single-cycle Discrete and Stochastic Demand
【摘要】 库存-运输整合优化问题极为复杂,目前尚缺乏系统研究。本文针对一个配送中心与多个客户组成的配送系统,讨论客户单周期离散随机需求条件下,建立该系统的库存-运输整合优化问题模型。并通过分析模型的离散特征,把问题转化为一般的车辆路径问题,借鉴现有的求解方法,构造了求解模型的自适应单亲遗传算法。最后用MATLAB编程并用测例进行了测试。结果表明,借助现代优化方法,库存-运输整合问题的研究具有理论意义和实际价值。
【Abstract】 Inventory-Transportation Integrated Optimization (ITIO) is extremely complex,and the researches on its problems are rare.In this paper,a distribution system which consists of one distribution center and multiple customers is discussed.On the assumption that every customer has its discrete stochastic single-cycle demand,a model for the ITIO is proposed and transformed into a general vehicle routing problem.With the aids of the existing solution methods,an adaptive Partheno-Genetic Algorithm is designed for the model.The algorithm was programmed in MATLAB,and tested with a benchmark problem.The result shows that the ITIO has its theoretical and practical value.
【Key words】 Logistics and Supply Chain; Vehicle Routing Problem; Transportation; Inventory; Genetic Algorithms;
- 【文献出处】 系统工程 ,Systems Engineering , 编辑部邮箱 ,2007年01期
- 【分类号】F253.4;F224
- 【被引频次】63
- 【下载频次】833