| 詹燕,李豪,汤洪涛,许丽丽.面向医药行业冷库的移动式货架仓储系统的货位优化研究[J].高技术通讯(中文),2021,31(8):852~860 |
| 面向医药行业冷库的移动式货架仓储系统的货位优化研究 |
| Research on slotting optimization of the mobile racks warehousing system for cold storage in pharmaceutical industry |
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| DOI：10.3772/j.issn.1002-0470.2021.08.008 |
| 中文关键词: 移动式货架仓储系统； 医药冷库； 货位优化； 混合离散入侵杂草算法(HDIWO)； 多种群 |
| 英文关键词: mobile racks warehousing system, pharmaceutical cold warehouse, slotting optimization, hybrid discrete invasive weed optimization algorithm (HDIWO), multiple population |
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| 摘要点击次数: 2128 |
| 全文下载次数: 1374 |
| 中文摘要: |
| 为提高移动式货架仓储系统的拣选效率，降低拣选能耗，对其在医药行业冷库应用中的货位优化问题进行研究。针对移动式货架仓储系统自身作业和医药冷库存储的特点，提出以同一巷道品项相关性最大和拣选能耗最小的策略来实现货位优化，建立多目标优化模型。在基本入侵杂草算法(IWO)基础上，设计了混合离散入侵杂草算法(HDIWO)进行仿真求解，通过引入多种群的思想来保证种群的多样性。在空间扩散阶段,采用自适应变异位数策略，用于初期的全局搜索和后期的局部搜索；在竞争生存之后，引入交叉算子和移民算子，增强种群内和种群之间交流。仿真结果表明，与入侵杂草算法、遗传算法相比，该方法具有更好的收敛性和全局搜索能力，能有效提高移动式货架仓储系统的拣选效率，降低拣选能耗，更适合移动式货架仓储系统的货位优化问题的研究。 |
| 英文摘要: |
| In order to improve the picking efficiency and reduce the picking energy consumption of the mobile racks warehousing system, the optimization of the slotting in the cold storage application of the pharmaceutical industry is studied. According to the characteristics of the operation of mobile racks warehousing system and the cold storage of medicines, a strategy that maximizes the correlation of items in the same aisle and minimizes the energy consumption of picking is proposed to achieve the optimization of slotting. A multi-objective optimization model is established. Based on the basic invasion weed optimization algorithm (IWO), a hybrid discrete invasion weed optimization algorithm (HDIWO) is designed for simulation. The algorithm introduces the idea of multiple population to ensure the diversity of the population, and uses the adaptive mutations number strategy in the spatial dispersal stage for the initial global search and the later local search. After competing for survival, crossover and immigration operators are introduced to enhance communication within and between populations.Simulation results show that compared with the invasion weed optimization algorithm and genetic algorithm, this method has better convergence and global search capability. It can effectively improve the picking efficiency of the mobile racks warehousing system, reduce the picking energy consumption, and is more suitable for the optimization of the slotting of the mobile racks warehousing system. |
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