汽车总装厂排产优化研究

发布时间：2017-12-28 08:28

本文关键词：汽车总装厂排产优化研究　出处：《西华大学》2016年硕士论文　论文类型：学位论文

【摘要】：汽车总装厂的排产优化问题是汽车总装生产的核心问题之一,合理的排产方案能有效地指导汽车生产、降低成本,是提高生产效益的关键。排产的基本任务包括对工位负荷、线边库存、物料、设备等要素进行综合均衡,从而有效的配置资源,使汽车生产按时按质完成。本文以J公司总装生产实际情况为研究对象,对汽车总装厂排产优化问题进行研究,主要研究内容包括以下部分:首先深入J公司对汽车总装生产进行实地调研,分析了实际生产中存在的不均衡和不平准的问题,针对这些问题,根据生产系统均衡化和平准化的要求提出了相应的目标函数,并建立了数学模型。针对数学模型的特点将模型合并为含多目标函数的数学模型,并将多目标数学模型转化为带约束条件的单目标数学模型。其次利用遗传算法的基本原理和基本操作,根据所建立的数学模型设计了针对问题的遗传算法的特殊操作,并用MATLAB进行程序实现和对求解算法的分析。利用遗传算法的优化技术,分别研究了基于自适应技术、交叉方法的改变和锦标赛竞赛规模的改变等多种方法对本算法进行优化研究,探讨了各种优化方法的优缺点,最终根据J公司的实际情况确立了最符合公司实际的优化方法和排产优化方案。最后分析了利用WITNESS进行系统仿真的意义,并利用WITNESS建立了符合J公司实际情况的仿真模型。将模型和算法优化后的排产方案进行仿真运行和分析,验证了优化模型和算法的可行性。同时仿真运行可将生产状况及时的反馈给管理决策人员,为汽车总装排产优化问题提供一种有效的解决方法。
[Abstract]:The scheduling problem of automobile assembly plant is one of the core issues of automobile assembly production. Reasonable production scheduling can effectively guide automobile production and reduce costs, which is the key to improve production efficiency. The basic scheduling tasks include comprehensive balanced position load, line side inventory, materials, equipment and other factors, the allocation of resources effectively, the production of cars completed on time. In this paper, the actual situation of assembly produced by J company as the research object, the optimization problems of row car assembly plant, the main research contents include the following parts: firstly J field research on automobile assembly, analyzes the unbalanced and uneven, problems existing in the practical production, in order to solve these problems, according to the production balance system and the requirement of quasi corresponding objective function is proposed, and the establishment of mathematical model. According to the characteristics of mathematical models, the model is merged into a mathematical model containing multi-objective functions, and the multi-objective mathematical model is transformed into a single objective mathematical model with constraints. Secondly, based on the basic principle and basic operation of genetic algorithm, the special operation of genetic algorithm for problem is designed based on the mathematical model established. The program is implemented by MATLAB and the algorithm is analyzed. Using the optimization technique of genetic algorithm, respectively based on adaptive technology, cross and the championship scale change and other methods based on the algorithm research, discusses the advantages and disadvantages of various optimization methods, finally according to the actual situation of J company has established the most practical optimization method and scheduling optimization scheme. At last, the significance of using WITNESS to simulate the system is analyzed, and a simulation model which meets the actual situation of J company is established by using WITNESS. The feasibility of the optimization model and algorithm is verified by the simulation and analysis of the model and algorithm optimized scheduling scheme. At the same time, the simulation can give a timely feedback to the management decision makers, and provide an effective solution for the optimization of automobile assembly.
【学位授予单位】：西华大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：U466

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