动态货位指派与拣货路径系统优化研究
发布时间：2019-05-28 12:58
【摘要】：随着电商平台的发展,电商企业对市场的占有率逐年提升,其产品具有种类繁多、市场需求变动较大且周期较短的特点。目前电商仓库通常采用“先货位指派,后拣货”的作业方式,这种作业方式对于产品需求变动较大的仓库难以满足实时市场需求,并且会加大分拣人员工作难度,降低其工作效率。因此对于此类型产品的仓库,货位指派与拣货路径系统优化是当前研究的必然趋势。本文主要针对电商、零售等企业其产品需求变动较大的特点,提出一种“动态货位指派与拣货”协同作业的拣货方式,通过协同作业和动态货位指派,最终达到仓库适应市场实时变化,并提高分拣人员工作效率的目的。具体内容如下:首先,对货位指派、路径优化和模拟退火算法的相关理论进行简要概述;其次,建立优化数学模型,通过模型假设条件和约束条件,建立优化模型目标函数;再次,基于模拟退火算法进行求解,根据实际情况及国内外研究成果设计出模型影响因素,并进行基准实验设计;最后对优化模型进行仿真分析,为了验证算法的正确性,本文使用matlab软件对算法进行求解,并对求解结果进行分析,分析结果包含两部分,其一是验证优化模型的有效性;其二评价各组合策略的效果。
[Abstract]:With the development of ecommerce platform, the market share of ecommerce enterprises is increasing year by year. Its products have many kinds, the market demand changes greatly and the cycle is short. At present, the e-commerce warehouse usually adopts the operation mode of "first place assignment, then picking goods". This kind of operation mode is difficult to meet the real-time market demand for the warehouse where the product demand changes greatly, and it will make it more difficult for the sorting personnel to work. Reduce the efficiency of its work. Therefore, for the warehouse of this type of products, the optimization of cargo location assignment and picking path system is the inevitable trend of current research. In view of the great change of product demand in e-commerce, retail and other enterprises, this paper puts forward a kind of picking mode of "dynamic cargo location assignment and picking" cooperative operation, through collaborative operation and dynamic cargo location assignment. Finally, the warehouse adapts to the real-time changes in the market and improves the efficiency of sorting personnel. The specific contents are as follows: firstly, the related theories of cargo location assignment, path optimization and simulated annealing algorithm are briefly summarized. Secondly, the optimization mathematical model is established, and the objective function of the optimization model is established through the assumptions and constraints of the model. Thirdly, based on the simulated annealing algorithm, the influencing factors of the model are designed according to the actual situation and the research results at home and abroad, and the benchmark experiment design is carried out. Finally, the optimization model is simulated and analyzed. In order to verify the correctness of the algorithm, this paper uses matlab software to solve the algorithm, and analyzes the solution results. The analysis results include two parts, one is to verify the effectiveness of the optimization model; Second, the effect of each combination strategy is evaluated.
【学位授予单位】：华东交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F252
本文编号：2487084
[Abstract]:With the development of ecommerce platform, the market share of ecommerce enterprises is increasing year by year. Its products have many kinds, the market demand changes greatly and the cycle is short. At present, the e-commerce warehouse usually adopts the operation mode of "first place assignment, then picking goods". This kind of operation mode is difficult to meet the real-time market demand for the warehouse where the product demand changes greatly, and it will make it more difficult for the sorting personnel to work. Reduce the efficiency of its work. Therefore, for the warehouse of this type of products, the optimization of cargo location assignment and picking path system is the inevitable trend of current research. In view of the great change of product demand in e-commerce, retail and other enterprises, this paper puts forward a kind of picking mode of "dynamic cargo location assignment and picking" cooperative operation, through collaborative operation and dynamic cargo location assignment. Finally, the warehouse adapts to the real-time changes in the market and improves the efficiency of sorting personnel. The specific contents are as follows: firstly, the related theories of cargo location assignment, path optimization and simulated annealing algorithm are briefly summarized. Secondly, the optimization mathematical model is established, and the objective function of the optimization model is established through the assumptions and constraints of the model. Thirdly, based on the simulated annealing algorithm, the influencing factors of the model are designed according to the actual situation and the research results at home and abroad, and the benchmark experiment design is carried out. Finally, the optimization model is simulated and analyzed. In order to verify the correctness of the algorithm, this paper uses matlab software to solve the algorithm, and analyzes the solution results. The analysis results include two parts, one is to verify the effectiveness of the optimization model; Second, the effect of each combination strategy is evaluated.
【学位授予单位】：华东交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F252
【参考文献】
相关期刊论文 前10条
1 房殿军;彭一凡;;含多条横向巷道的仓库拣选路径优化研究[J];物流技术;2016年05期
2 黄曦骏;;仓储货位优化方法研究[J];江苏商论;2016年04期
3 李汝仙;;基于Flexsim的货位优化仿真[J];物流技术;2015年21期
4 孙洪华;董慧慧;;配送中心订单分批与拣货路径研究[J];物流技术;2014年13期
5 孙慧;张柯;张富金;张纪会;;基于遗传算法的双区型仓库人工拣货路径优化[J];青岛大学学报(工程技术版);2014年01期
6 李建斌;周玮;陈峰;;B2C电子商务仓库拣货路径优化策略应用研究[J];运筹与管理;2014年01期
7 卢子甲;韩义民;张少卿;;基于遗传算法的配送中心订单拣选路径优化案例研究[J];物流技术;2013年17期
8 李建斌;杨光耀;陈峰;;零售业电子商务仓储中心货位指派问题研究[J];工业工程与管理;2013年04期
9 李晓春;王国庆;钟雪灵;王雄志;;双旋转货架拣货路径优化策略[J];系统管理学报;2012年01期
10 李英德;鲁建厦;;基于相关性的周期性货位优化的模型与算法[J];机械工程学报;2011年20期
相关硕士学位论文 前1条
1 郭有俊;某电子元器件分销商配送中心货位优化研究[D];上海交通大学;2013年
，本文编号：2487084
本文链接：https://www.wllwen.com/jingjifazhanlunwen/2487084.html
