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S公司半成品仓库作业改善研究

发布时间:2018-03-08 23:34

  本文选题:拣选作业 切入点:路径优化 出处:《天津大学》2014年硕士论文 论文类型:学位论文


【摘要】:拣选策略与信息化程度是影响仓库作业效率和质量的重要因素。合理的拣选策略与路径设计,不仅能提高仓库的工作效率,而且能有效地降低物流作业成本。现代信息技术在物流行业的广泛应用,为仓库管理的信息化、智能化、自动化、标准化创造了良好的条件。仓库管理系统(WMS)的应用,能够有效地提高仓库管理的效率,进一步降低仓储物流成本,改善供应链的服务质量,增强企业的市场竞争力。 本文密切结合某大型重工业企业的生产实际,采用调查研究与数学建模分析相结合的方法,研究优化了S公司半成品库的拣选作业流程和仓库管理系统问题,从拣选单据优化和拣选路径优化两个方面入手,以拣选路径总长度最短为目标函数,以拣选设备的容量限制为约束条件,对所有的拣选单进行分批,,并采用节约式启发算法进行求解。拣选单据优化完成后又依据边际效用递减的经济学原理对影响仓库拣选人员效能的因素进行了分析,并提出可以提升拣选人员效能的措施。其次研究拣选路径优化的方向,在拣选单分批模型的基础上,参照TSP模型建立路径优化模型,对拣选路径进行优化。文章对拣选流程进行优化与改进后,还对仓库各项作业流程加入WMS系统进行管理控制与改善,并对比了引入WMS系统后为仓库带来的显著绩效提高。
[Abstract]:The selection strategy and the degree of information are the important factors that affect the efficiency and quality of warehouse operation. Reasonable picking strategy and path design can not only improve the working efficiency of warehouse, but also improve the working efficiency of warehouse. And it can effectively reduce the cost of logistics activities. The wide application of modern information technology in the logistics industry has created a good condition for the information, intelligence, automation and standardization of warehouse management. It can effectively improve the efficiency of warehouse management, further reduce the cost of warehouse logistics, improve the service quality of supply chain, and enhance the market competitiveness of enterprises. Based on the production practice of a large heavy industry enterprise and the method of combining investigation and mathematical modeling and analysis, this paper studies and optimizes the sorting process and warehouse management system of semi-finished product warehouse in S Company. Starting with the optimization of picking documents and path, taking the shortest path length as the objective function and the capacity limitation of the picking equipment as the constraint condition, all the picking orders are divided into batches. After the optimization of picking documents is completed, the factors that affect the efficiency of warehouse pickers are analyzed according to the economic principle of diminishing marginal utility. The paper also puts forward some measures to improve the efficiency of picking workers. Secondly, the direction of path selection optimization is studied, and the path optimization model is established by referring to TSP model on the basis of picking single batch model. After the optimization and improvement of the picking process, the management control and improvement of the warehouse operation process by adding the WMS system are carried out, and the remarkable performance of the warehouse after the introduction of the WMS system is compared.
【学位授予单位】:天津大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:F416.4;F274

【参考文献】

相关期刊论文 前10条

1 万杰;张少卿;李立;;基于遗传算法的配送中心订单拣选优化问题研究[J];河北工业大学学报;2009年05期

2 吴耀华,肖际伟,高洪峰;AGV任务与路线调度问题的解决方案[J];制造业自动化;2000年11期

3 张成,袁冰,王杰,武超,胡侨丹;条码技术在立体仓库物料管理中的应用[J];中国制造业信息化;2003年10期

4 魏佳;高虎;;条码技术在仓库管理中的应用[J];科技信息;2009年01期

5 郑长文,环国建,郭志明;条码技术在后方航材仓库管理中的应用[J];物流科技;2003年03期

6 尉曼远;乐美龙;;集成无线条码扫描终端的第三方物流仓库管理系统研究[J];物流科技;2008年07期

7 彭岭;;企业仓库条码管理系统的设计[J];科技致富向导;2012年29期

8 尹军琪;自动化仓库的发展及其应用特性[J];起重运输机械;2001年10期

9 唐友生;曹庆华;傅翠娇;;条码仓库的系统设计范例[J];软件世界;2007年18期

10 李诗珍;杜文宏;;基于聚类分析的订单分批拣货模型及启发式算法[J];统计与决策;2008年12期



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