基于配送BOM的装配线准时化物料配送优化研究

发布时间：2018-01-12 15:14

本文关键词：基于配送BOM的装配线准时化物料配送优化研究　出处：《武汉理工大学》2015年硕士论文　论文类型：学位论文

更多相关文章： 物料配送 配送BOM 准时化 遗传算法

【摘要】：针对目前多品种、小批量的生产模式,制造企业更多的是在寻求一种能够有效地提高生产效率、降低成本的方式,而精益生产管理方法正是解决该问题的重要手段。从制造企业来看,提高生产效率、降低成本的主要方向需要从整个生产系统及物流系统入手。想要提高生产效率,首先必须解决物流系统的相关问题,使物流配送做到准时化(Just-in-time,JIT),即在正确的时间将正确数量的产品送到正确的位置。目前企业大多根据制造物料清单(Bill of materials,BOM)的信息进行线旁物料的管理及配送,而制造BOM对物流人员来说不是那么直观,会影响拣货速度、物料配送效率等问题,针对这些问题,有学者提出了配送BOM的管理方式,本文应用配送BOM进行物料的拣选,并将物料以存储标准箱的形式在预定的配送时间窗内进行准时化配送,达到了减少配送距离及降低成本的效果。主要研究内容如下:(1)分析W汽车后桥装配线的加工工艺流程及物料清单等基础数据,针对企业生产方式及物料拉动模式对不同产品建立相应的物料配送BOM,得到各工位不同生产周期的物料需求信息。(2)分析配送BOM中线边物料的尺寸、大小、重量等信息,对物料进行分类,针对企业目前物料存储设备种类多而杂的问题,提出根据物料种类的不同对中小尺寸物料存储设备采用统一标准箱的形式,大件物料采用存储周转车的形式,并对部分物料周转车提出改进方案,以此解决物料存储设备的繁杂问题,从而确保物料存储及配送的准确性,并为后续车辆路径的优化研究奠定基础。(3)针对企业配送成本高等问题,考虑车辆承载量和配送时间窗等约束条件,建立以配送总成本最小化为目标的数学模型,运用遗传算法对问题进行求解。并将其运用于后桥装配A线物流配送系统的分析,在保证配送总量不变的条件下,使得配送总成本减少了11.7%,验证了本文提出的准时化物料配送优化方案的有效性。
[Abstract]:At present, many varieties, small batch production, more manufacturing companies are seeking a can effectively improve production efficiency, reduce cost, and lean production management methods is an important means to solve the problem. From the view of manufacturing enterprises, improve production efficiency, reduce the cost of the need to start from the main direction the whole production system and logistics system. To improve the production efficiency, we must first solve the related problems of the logistics system, the logistics distribution to achieve JIT (Just-in-time, JIT), which is at the right time to the right amount of the product to the correct position. At present, most enterprises according to manufacturing BOM (Bill of materials, BOM) and management the distribution of information line materials, manufacturing and logistics personnel of BOM is not so intuitive, will affect the picking speed, the problem of material delivery efficiency, in order to solve these problems, study The distribution of BOM management, the application of BOM distribution for material selection, and the material stored in the standard box in the form of distribution within a predetermined time window of JIT delivery, reduce the distribution distance and the effect of reducing cost. The main contents are as follows: (1) processing and material list the basic data analysis of W automobile rear axle assembly line, according to the enterprise production and material pulling model of material delivery BOM corresponding to different products, each station different production cycle of the material demand information. (2) the size, material delivery BOM line side analysis, weight and other information, the classification of materials. According to the enterprise present material storage equipment types and miscellaneous problems, according to the different types of material for small and medium size material storage device adopts the standard box in the form of a material with large storage The turnover in the form, and put forward the improvement scheme on the part of the material flow, in order to solve the complex problems of material storage equipment, so as to ensure the accuracy of material storage and distribution, and lay the foundation for the optimization of the subsequent vehicle path. (3) aiming at the problem of high cost of distribution enterprises, vehicles carrying capacity and delivery time window constraints considering the mathematical model is established to minimize the total distribution cost as the goal, the use of genetic algorithm to solve the problem. And apply it to the A line after the logistics distribution system of assembly bridge analysis, to ensure the total distribution does not change, the total distribution cost is reduced by 11.7%, to verify the effectiveness of the optimization scheme on time the material distribution is proposed in this paper.

【学位授予单位】：武汉理工大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TP18;F425;F252.1

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