基于系统化布置设计方法和遗传算法的制造业设施布置设计及优化

发布时间：2018-05-14 21:54

本文选题：设施布置 + 系统化布置设计方法　；参考：《郑州大学》2011年硕士论文

【摘要】：随着制造业生产方式的转变,许多制造企业需要新建厂区以扩大生产,或者需要对原有的生产系统进行优化。越来越多的企业管理者和工程技术人员开始重视设施布置问题,设施布置包括新生产系统的设计和已有生产系统的优化。对于制造业来说,设置布置是否合理,将对生产系统的运行产生长期的影响。因此,对制造业设施布置设计及优化问题的研究具有广阔的应用前景。首先,本文在分析总结国内外相关领域研究成果的基础上,阐述了设施布置设计相关理论,着重介绍了系统化布置设计方法。接下来,以一个具体的实例详细说明了系统化布置设计方法在制造业设施布置设计中的具体应用,其中在进行基本要素分析时代表产品法的应用极大简化了设计的过程。其次,本文结合制造业设施布置的实际情况,设计了制造业设施布置评价指标体系,综合运用层次分析法和模糊理论,构建了制造业设施布置模糊层次评价模型,并利用该指标体系和评价模型对前文设计出的布置方案进行了评价。最后,阐述了制造业设施布置优化的基准,提出了基于遗传算法的制造业设施布置优化流程,在此基础上以前文较优的布置方案为实例,重点研究了制造业设施布置优化的遗传算法设计,最后应用MATLAB软件进行了程序运行。在遗传算法设计过程中,初始种群的产生采取SLP产生与随机选取相结合的方式,提高了搜索的高效性；选择过程设计中对传统的轮盘赌选择进行了改进,有效避免了早熟现象。实证分析表明了遗传算法在制造业设施布置优化中的可行性和有效性。
[Abstract]:With the transformation of manufacturing mode, many manufacturing enterprises need to build new factories to expand production, or to optimize the original production system. More and more enterprise managers and engineers begin to pay attention to the layout of facilities, including the design of new production systems and the optimization of existing production systems. For the manufacturing industry, whether the layout is reasonable or not will have a long-term effect on the operation of the production system. Therefore, the research on the layout and optimization of manufacturing facilities has a broad application prospect. Firstly, on the basis of analyzing and summarizing the research results of related fields at home and abroad, this paper expounds the relevant theories of facility layout design, and emphasizes on the systematic layout design method. Then, a concrete example is given to illustrate the application of systematic layout design method in facility layout design of manufacturing industry, in which the application of product method greatly simplifies the process of design. Secondly, according to the actual situation of manufacturing facility layout, this paper designs the evaluation index system of manufacturing facility layout, and constructs the fuzzy hierarchy evaluation model of manufacturing facility layout by using AHP and fuzzy theory. The index system and evaluation model are used to evaluate the layout scheme designed earlier. Finally, the benchmark of manufacturing facility layout optimization is expounded, and the process of manufacturing facility layout optimization based on genetic algorithm is put forward. The genetic algorithm design of facility layout optimization in manufacturing industry is studied. Finally, the program is run with MATLAB software. In the process of genetic algorithm design, the initial population is produced by combining SLP generation with random selection, which improves the efficiency of search, improves the traditional roulette selection in the selection process design, and effectively avoids the phenomenon of precocity. Empirical analysis shows the feasibility and effectiveness of genetic algorithm in manufacturing facility layout optimization.
【学位授予单位】：郑州大学
【学位级别】：硕士
【学位授予年份】：2011
【分类号】：TH186;TP18

【引证文献】