基于Flexsim的零售型配送中心拣选作业仿真优化及实证研究

发布时间：2018-05-28 10:34

本文选题：拣选策略 + 储位优化　；参考：《苏州科技学院》2015年硕士论文

【摘要】：随着互联网技术的不断发展,零售业经营业态的变革愈发剧烈,同时对物流的变革需求也愈发迫切。许多大型零售企业尝试自建物流配送中心,但整体水平较低,运作效率也不理想。拣选作业作为配送中心的核心工艺,也是配送中心作业中劳动强度最大、出错率最高的环节,其优良与否不仅严重影响物流配送中心的效率,也对配送中心的功能发挥影响很大。本文以零售型连锁药店配送中心为研究对象,探讨如何从拣选策略优化与拣选模式优化的角度,结合数学建模与物流仿真优化的方法提高配送中心的拣选效率。首先,采用EIQ分析法对配送中心的订单特点进行了深入分析,为拣选模式的优化设计提供了参考。然后,利用Flexsim仿真软件对研究对象现状进行仿真模拟,总结出拣选作业系统现存的问题,从拣选策略与拣选模式方面对拣选作业系统现状提出优化方案。再次,针对分区储位分配问题,在保持部分原策略(包括分批策略与拣选路径策略)与拣选模式不变的的基础上,以均衡分区拣选作业时间为目标建立分区储位优化模型,采用基于Matlab的设菲尔德遗传算法工具箱进行求解,得到了满足优化目标的储位分配结果。最后对拣选模式进行优化,通过使用Flexsim仿真软件对三种不同拣选模式的优化方案进行对比,分析优化方案的合理性、设备运行的效率,以及对拣选作业效率的影响。
[Abstract]:With the development of Internet technology, the reform of retail business is becoming more and more drastic, and the demand for logistics reform is becoming more and more urgent. Many large retail enterprises try to build their own logistics distribution center, but the overall level is low, and the operational efficiency is not ideal. As the core technology of the distribution center, the picking operation is also the link with the largest labor intensity and the highest error rate in the distribution center operation, and whether it is good or not only seriously affects the efficiency of the logistics distribution center. It also exerts great influence on the function of distribution center. Taking the retail chain drugstore distribution center as the research object, this paper discusses how to improve the selection efficiency of the distribution center from the angle of selecting strategy optimization and picking mode optimization, combined with mathematical modeling and logistics simulation optimization method. Firstly, the EIQ analysis method is used to analyze the order characteristics of the distribution center, which provides a reference for the optimization design of the picking mode. Then, using the Flexsim simulation software to simulate the status quo of the research object, summarize the existing problems of the picking operation system, and put forward the optimization scheme of the picking operation system from the aspects of the picking strategy and the picking mode. Thirdly, aiming at the partition storage allocation problem, a partition storage optimization model is established on the basis of keeping part of the original strategy (including batch strategy and picking path strategy) and picking mode unchanged, aiming at balancing the partition picking operation time. The Shiffield genetic algorithm toolbox based on Matlab is used to solve the problem, and the storage allocation results satisfying the optimization objectives are obtained. Finally, the selection mode is optimized, and the rationality of the optimization scheme, the efficiency of equipment operation and the effect on the efficiency of picking operation are analyzed by comparing the optimization schemes of three different picking modes with Flexsim simulation software.
【学位授予单位】：苏州科技学院
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：F252;F224

【参考文献】