| 制造物联环境下智能仓库货位分配模型 |
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| 引用本文： | 彭小利,郑林江,蒲国林,王海涛.制造物联环境下智能仓库货位分配模型[J].计算机应用研究,2018,35(1). |
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| 作者姓名： | 彭小利 郑林江 蒲国林 王海涛 |
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| 作者单位： | 四川文理学院 智能制造学院,重庆大学 计算机学院,四川文理学院 智能制造学院,重庆大学 计算机学院 |
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| 基金项目： | 中国国家自然科学基金(61203135),国家高技术研究与中国的计划项目(2015AA015308),中国博士后科学基金会(2014T70852),基础研究经费中央高校(106112014CDJZR188801),重庆市支持博士后科学(Xm201305),四川省教育厅一般项目(15ZB0327)、四川文理学院一般项目(2015TP002Y)、四川省教育厅一般项目（14ZB0307）。 |
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| 摘 要： | 仓库货位合理规划与分配是减少产品存取时间、提高仓库作业效率的关键。在构建基于制造物联技术的智能仓库环境下,针对多品种智能仓库的货位分配问题,建立了考虑多规则约束的多目标智能仓库货位分配模型,提出一种模型求解的改进遗传算法。实验表明：模型和算法能找到有效的仓库货位分配方案,验证了其有效性。
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| 关 键 词： | 制造物联 智能仓库 货位分配 遗传算法 |
| 收稿时间： | 2016/8/23 0:00:00 |
| 修稿时间： | 2017/11/20 0:00:00 |
Storage Assignment Model of Intelligent Warehouse in Internet of Manufacturing Things |
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| Peng Xiaoli,Zheng Linjiang,Pu Guolin and Wang Haitao.Storage Assignment Model of Intelligent Warehouse in Internet of Manufacturing Things[J].Application Research of Computers,2018,35(1). |
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| Authors: | Peng Xiaoli Zheng Linjiang Pu Guolin and Wang Haitao |
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| Affiliation: | Sichuan University of Arts and Science,,, |
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| Abstract: | Reasonable warehouse storage planning and assignment is the key to reduce the product storage and retrieve time and improve warehouse operation efficiency. In the intelligent warehouse environment which are developed based on the technology of Internet of Manufacturing Things, to solve the problem of storage assignment at intelligent multi-product warehouse, a multi-objective intelligent warehouse storage assignment model is proposed with considering many constrain rules. Then we develop an improved genetic algorithm to solve the model. Experiments result show that the proposed model and the improved genetic algorithm can find effective storage assignment schemes, and verify the effectiveness of the model. |
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| Keywords: | Internet of Manufacturing Things intelligent warehouse storage assignment genetic algorithm |
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