多色集合在仓配一体化仓库货位分配建模中的应用

Application of Polychromatic Set in Cargo Space Allocation Modeling of Warehouse Integrated with Storage and Distribution

中文关键词: 城市快消品  仓配一体化  多色集合理论  粒子群算法  货位分配

英文关键词: urban fast moving consumer goods  integrated with storage and distribution  theory of polychromatic sets  particle swarm optimization  cargo space allocation

中文摘要:

      目的 为了提高仓配一体化仓库的货物存储以及货物周转效率，对仓库货位分配进行研究。方法 以西北地区某快消品仓配一体化配送中心仓库为背景，应用多色集合理论建立仓配一体化仓库中货位信息模型，通过实际案例对建立的模型进行仿真实验，得出仓库中货位的最优分区。结果 对仓库在货物就近原则放置和货物分区管理下车辆的等待时间进行仿真，限定在100 d的时间里，得出仓库在运用多色集合理论分区的情况下装卸车辆等待时间相比之前未分区时间下降了20.84%。结论 运用多色集合理论有效提高了城市快消品仓配一体化中货位优化的效率。

英文摘要:

      The work aims to study the cargo space distribution of the warehouse, in order to improve the efficiency of cargo storage and turnover in the warehouse integrated with storage and distribution. Based on the FMCG (fast moving consumer goods) distribution center warehouse integrated with storage and distribution in northwest China, the theory of polychromatic sets was applied to establish the cargo space information model in the proposed warehouse. Through the simulation experiment of the established model with actual cases, the optimal partition of cargo space in the warehouse was obtained. As a result, the waiting time of the vehicle in the warehouse based on the principle of the nearest cargo placement and cargo partition management was simulated, and it was limited to 100 days. It was concluded that, the waiting time for loading and unloading of vehicles in the warehouse with partitions based on the theory of polychromatic sets was 20.84% lower than the previous unpartitioned time. The theory of polychromatic sets is used to effectively improve the efficiency of cargo space optimization in the integration of storage and distribution of urban FMCG.