| 考虑需求相关性的多巷道仓库货位分配问题 |
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| 引用本文： | 肖建,郑力.考虑需求相关性的多巷道仓库货位分配问题[J].计算机集成制造系统,2008,14(12). |
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| 作者姓名： | 肖建 郑力 |
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| 作者单位： | 清华大学工业工程系,北京,100084 |
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| 基金项目： | 国家高技术研究发展计划(863计划) |
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| 摘 要： | 根据物料相关性及需求频率，建立了多巷道仓库中货位分配的优化数学模型。模型的优化目标是，既要尽量将关系密切的物料聚集摆放，又要尽量将需求频率高的物料靠近出人库口存储。为求解这一NP问题，提出一种结合启发式算法的混合遗传算法。数值实验表明，该模型与不考虑需求相关性的分配策略相比，可以得到更好的结果，并且随着需求相关性水平的提高，效果更加明显。
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| 关 键 词： | 需求相关性 货位分配 模型 遗传算法 料单拣选 |
Storage location assignment in a multi-aisle warehouse considering demand correlations |
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| XIAO Jian,ZHENG Li.Storage location assignment in a multi-aisle warehouse considering demand correlations[J].Computer Integrated Manufacturing Systems,2008,14(12). |
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| Authors: | XIAO Jian ZHENG Li |
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| Affiliation: | XIAO Jian,ZHENG Li(Department of Industrial Engineering,Tsinghua University,Beijing 100084,China) |
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| Abstract: | By considering both material relevancy and requirement frequency,an optimization model for the storage location assignment in the multi-aisle warehouse was established.With the model,materials with closer relationships were compelled to be stored together closely,while at the same time,materials with high requirement frequency were stored close to the I/O point.A Hybrid Genetic Algorithm(HGA) was proposed to solve the NP problem.Numerical experiments showed that this model could obtain better results than o... |
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| Keywords: | demand correlations storage location assignment model genetic algorithm order picking |
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