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无人化齿轮生产系统智能调度的研究

发布时间:2018-01-20 01:14

  本文关键词: 无人化 齿轮 生产系统 智能调度 遗传算法 出处:《浙江工业大学》2015年硕士论文 论文类型:学位论文


【摘要】:齿轮是各类机械仪表中广泛应用的传动零件,齿轮制造业在我国制造业中占据着不可动摇的地位,然而国内齿轮市场逐渐饱和,竞争环境日益激烈,企业只有不断提高核心竞争力才能占据有利的市场地位,未来齿轮加工朝着自动化、智能化、无人化、绿色化发展是一种必然的趋势。论文以SH公司为原型,旨在提出一种无人化齿轮生产布局方式以及相应的智能调度方法。在查阅相关文献的基础上,论文对原型企业SH公司展开现场调查,重点了解产品类型及特点、生产布局及生产调度等情况,进行典型产品分析、工艺分析、单元分析及无人化设计,提出了一种无人化齿轮生产线布局方式。针对无人化生产中的智能调度问题,构建了分批调度模型,并提出一种能够同时求解批量划分和排序优化的改进遗传算法,对种群初始化过程、交叉变异过程等进行改进,最后以文献中数据为例进行算法测试,仿真验证算法的可行性和有效性,得到调度初始解。然后在静态调度基础上深入考虑动态变化的车间环境,仿真分析了加工时间变动、机器故障和交货期变动三种突发事件下的重调度机制。论文最后借助Visual Basic面向对象语言、Acess数据库和Matlab高级计算语言开发了无人化齿轮生产调度系统。面对逐渐变化的市场需求和制造模式,论文创新性地提出了一种无人化齿轮生产布局方式,为未来齿轮制造提供了一种设想,是齿轮生产理念上的一大进步。此外,论文提出的分批调度思想优于经典调度理念,在自动化程度越来越高的今天将会得到广泛应用,是制造企业改变传统生产模式的一条新途径。
[Abstract]:Gear is a kind of transmission parts widely used in mechanical instruments. Gear manufacturing occupies an unshakable position in China's manufacturing industry. However, the domestic gear market is gradually saturated, and the competition environment is becoming increasingly fierce. Enterprises can only continuously improve their core competitiveness to occupy a favorable market position, the future gear processing towards automation, intelligent, unmanned, green development is an inevitable trend. The purpose of this paper is to put forward a kind of production layout mode and corresponding intelligent scheduling method of unmanned gear. On the basis of consulting relevant documents, the paper carries out a field investigation on SH Company, a prototype company. Focus on product types and characteristics, production layout and production scheduling, typical product analysis, process analysis, unit analysis and non-human design. In this paper, a layout method of unmanmade gear production line is proposed, and a batch scheduling model is constructed to solve the problem of intelligent scheduling in no-man production. An improved genetic algorithm is proposed, which can solve batch partition and sorting optimization simultaneously. The process of population initialization and crossover mutation is improved. Finally, the algorithm is tested by taking the data in the literature as an example. Simulation verifies the feasibility and effectiveness of the algorithm and obtains the initial solution of scheduling. Then on the basis of static scheduling the dynamic environment of the workshop is considered deeply and the processing time variation is simulated and analyzed. The rescheduling mechanism of machine failure and change of due date is discussed. Finally, the object-oriented language of Visual Basic is used. Acess database and Matlab advanced computing language are used to develop an unmanned gear production scheduling system, which faces the changing market demand and manufacturing mode. This paper creatively puts forward a kind of unmanmade gear production layout mode, which provides a kind of assumption for the future gear manufacture, and is a great progress in the gear production idea. The idea of batch scheduling proposed in this paper is superior to the classical scheduling idea and will be widely used today when the degree of automation is higher and higher. It is a new way for manufacturing enterprises to change the traditional production mode.
【学位授予单位】:浙江工业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TH132.41;TH186

【参考文献】

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3 I.A.Chaudhry;;Job shop scheduling problem with alternative machines using genetic algorithms[J];Journal of Central South University;2012年05期



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