基于智能优化算法的液晶电视装配线平衡改善

发布时间：2018-10-22 10:03

【摘要】：装配线平衡问题一直是制造企业生产管理的重要组成,是基层工艺流程编排和优化的重要手段之一,即在一定的约束条件下,将装配线上的一系列作业要素合理地分配到各工位或工作站上,进而实现生产系统的平衡稳定。装配线平衡率过低则会损失大量工时,影响生产效率,严重时甚至造成停产。装配线平衡问题是一个复杂的组合优化问题,至今仍无有效的最优算法。本文在总结和分析了近年来国内外专家学者对装配线平衡问题的相关研究基础上,针对液晶电视装配线特有的一些约束条件,提出一种用改进的粒子群算法分析解决装配线平衡问题的方法手段,应用到实际液晶电视装配线平衡问题的改善上,取得了较好的效果。本文首先对装配线平衡问题进行了基本的阐述介绍,同时分析总结了国内外专家学者在装配线平衡问题上不同类型的方法。在此基础上,针对Q公司液晶电视装配线的现状进行研究分析,首先运用传统工业工程的方法对装配线进行改善,令装配线的平衡率有所提升,同时考虑到该装配线作业要素较多的情况下,在引入工艺及工位约束的基础上,综合考虑作业要素间的协调度,以装配线平衡率最高和线平滑指数最低为目标建立优化模型,并提出一种改进的粒子群算法,同时通过与标准粒子群算法的比较来论证改进算法的优势。最后在改进的粒子群算法优化结果下对实际装配生产平衡问题进行优化平衡并给予评价。本文运用改进的粒子群算法对装配线平衡问题进行平衡改善,在提高平衡率的同时,降低了装配线的平滑指数,也能为企业优化资源配置,提高企业效益。
[Abstract]:The balance of assembly line has always been an important component of production management in manufacturing enterprises. It is one of the important means of layout and optimization of basic process flow, that is, under certain constraints, A series of operational elements on the assembly line are reasonably allocated to each work station or workstation, and the balance and stability of the production system can be realized. Too low balance rate of assembly line will lose a lot of man-hours, affect production efficiency, and even cause shutdown when serious. The assembly line balance problem is a complex combinatorial optimization problem, but there is still no effective optimal algorithm. On the basis of summarizing and analyzing the domestic and foreign experts and scholars' research on assembly line balance in recent years, this paper aims at some special constraints of LCD TV assembly line. An improved particle swarm optimization (PSO) algorithm is proposed to solve the assembly line balance problem. The method is applied to the improvement of LCD TV assembly line balance problem and good results have been obtained. In this paper, the problem of assembly line balance is introduced. At the same time, different kinds of methods of assembly line balance are analyzed and summed up by experts and scholars at home and abroad. On this basis, the current situation of liquid crystal TV assembly line in Q company is studied and analyzed. Firstly, the traditional industrial engineering method is used to improve the assembly line, so that the balance rate of assembly line is improved. At the same time, considering that the assembly line has a large number of operating elements, on the basis of introducing process and working position constraints, and considering the degree of coordination among the operational elements synthetically, an optimization model is established with the objective of the highest balance ratio and the lowest line smoothing index of the assembly line. An improved particle swarm optimization (PSO) algorithm is proposed, and the advantages of the improved PSO algorithm are demonstrated by comparison with the standard PSO algorithm. Finally, under the optimized result of improved particle swarm optimization algorithm, the practical assembly production balance problem is optimized and evaluated. In this paper, the improved particle swarm optimization algorithm is used to improve the balance of the assembly line, which not only increases the balance rate, but also reduces the smooth index of the assembly line. It can also optimize the allocation of resources and improve the efficiency of the enterprise.
【学位授予单位】：沈阳工业大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F426.6;F273

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