太阳能生产企业库区布置与货位优化研究
发布时间:2018-05-16 20:37
本文选题:布置规划 + 分类分区 ; 参考:《山东大学》2014年硕士论文
【摘要】:随着经济全球化及本土企业参与国际化竞争的需要,中国企业越来越需要近一步挖掘内部管理潜能,不断提升企业自身管理能力,更新观念,调整思路,提升和改进物流战略,主动融入到上下游企业共同组成的供应链体系并优化内部物流管理;仓储环节作为供应链重要的物流节点,对降低物流成本及提高客户满意度有着非常重要的影响,近十几年来,虽然自动化仓库建设与使用风靡一时,但国内还有很多企业仍然采用平库及一般货架等较为传统方式,对此类企业来讲,如何优化货位存储以提高作业效率依然是现实其必要的需求。 本文涉及企业是国内某大型太阳能生产企业,至今已高速发展10多年,企业仓储中心存储物资主要是太阳能生产线供应原材料、太阳能热水器水箱、太阳能集热器、热水器安装支架、太阳能工程材料及配件等,随着太阳能工程业务的不断增加,高库存周期工程产品库存比重提高,各库区中无法满足存放及库区面积剩余现象并存,原有规划无法满足现实需求;个别大面积库区缺乏有效的货位设计及优化,高库存状态下伴随着低效率,无法适应高效发货要求,为了改进仓储管理现状,在充分掌握公司运营实际基础上,对仓库布局进行重新规划,对几个典型存储库区货位分配进行分析,提出了适合不同库区的货位优化方法,主要内容表述如下: 第一、仓储库区布局规划,分析企业仓库作业流程及库区分布存在的问题,指出库区实施布局改进的必要性,运用SLP布置理论对一号库区重新进行布局规划。 第二、典型库区货位优化,太阳能生产企业仓库物资包括物料上万种,产品特征各异,针对非条码原料存放平库区,考虑库区物流路线类型,分别采用基于ABC布局法及出入库批量比率法进行货位优化。 第三、基于成品搬运距离及出库频率两个因素建立优化模型,采用实体货位与概念货位耦合方法对水箱库区进行货位优化,提出货位匹配度概念,针对分配任务数量特点,分别采用匈牙利算法及伏格尔算法求解。 第四、自动化仓库布局设计与货位优化,对成品库区自动化改造进行了探索,结合产品及仓库结构,制订了库区设置改造布局方案,提出货位分配逻辑思路和算法选择。 第五、总结与展望
[Abstract]:With the need of economic globalization and local enterprises participating in international competition, Chinese enterprises need to tap the potential of internal management, constantly improve their own management ability, renew their ideas, adjust their thinking, and upgrade and improve their logistics strategy. As an important logistics node in the supply chain, warehousing plays an important role in reducing logistics cost and improving customer satisfaction. In the past decade or so, although the construction and use of automated warehouses have been popular for a while, there are still many domestic enterprises that still adopt more traditional methods such as flat storage and general shelves. For such enterprises, How to optimize the storage of goods to improve the operational efficiency is still a necessary requirement. This article involves the enterprise is a domestic large-scale solar energy production enterprise, has already developed rapidly more than 10 years, the enterprise storage center stores the material mainly is the solar energy production line supplies the raw material, the solar energy water heater water tank, the solar energy collector, Water heater installation support, solar engineering materials and accessories, with the continuous increase of solar engineering business, the proportion of high inventory cycle engineering products inventory increased, each reservoir area can not meet the storage and the remaining area of the reservoir area co-exist, The original plan can not meet the actual needs; in order to improve the status quo of storage management, some large areas of reservoir area lack of effective design and optimization of cargo space, accompanied by low efficiency under the state of high inventory, and unable to adapt to the requirements of efficient delivery, in order to improve the current situation of storage management, On the basis of fully mastering the actual operation of the company, the layout of the warehouse is replanned, the distribution of several typical storage areas is analyzed, and the optimization method of the cargo space suitable for different reservoir areas is put forward. The main contents are as follows: First, the layout planning of the reservoir area, analyzes the operation flow of the enterprise warehouse and the problems existing in the distribution of the reservoir area, points out the necessity of implementing the layout improvement in the reservoir area, and applies the theory of SLP layout to replan the layout of the No. 1 reservoir area. Second, the storage space of a typical reservoir area is optimized. The storage materials of solar energy production enterprises include tens of thousands of materials, and the characteristics of the products vary. For the storage of non-barcode raw materials in the reservoir area, consider the type of logistics route in the reservoir area. Based on ABC layout method and volume ratio method, cargo location optimization is carried out. Thirdly, based on the two factors of finished product handling distance and departure frequency, the optimization model is established, and the coupling method of entity and concept cargo position is used to optimize the cargo position in the reservoir area of water tank, and the concept of cargo position matching degree is put forward, aiming at the characteristics of assignment task quantity. The Hungarian algorithm and the Vogel algorithm are used to solve the problem. Fourthly, the layout design of automated warehouse and the optimization of cargo location are explored. Combining with the product and warehouse structure, the layout scheme of installation and transformation of the reservoir area is formulated, and the logical thinking and algorithm selection of the distribution of goods space are put forward. Fifth, summary and prospect
【学位授予单位】:山东大学
【学位级别】:硕士
【学位授予年份】:2014
【分类号】:TB491;F252
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