云制造模式下制造资源优化配置研究

发布时间：2018-06-08 05:31

本文选题：云制造 + 资源配置　；参考：《天津理工大学》2017年硕士论文

【摘要】：随着新时代信息化技术革命的发展,新型生产技术正逐产生并不断取代传统落后的生产技术。我国是制造业大国,制造业在我国的产业结构中占据重要地位,面对我国传统制造业制造技术简单、生产方式粗放及制造资源严重浪费等现状,我国提出了制造业信息化的发展战略即将我国制造业从单一生产型转向服务型、从价值链的低端转向中高端,从制造大国转向制造强国的新型制造战略。云制造模式的产生正是传统制造向新型制造转变的成果,是将传统物理资源与互联网、计算机技术、知识信息等相结合的新型制造模式,是提高资源利用效率和满足客户对于产品多样化需求的技术革命产物。本文对云制造资源配置问题上展开了相关研究。首先,阐述了云制造的研究背景与研究意义、研究方法和研究技术路线,通过查阅相关研究文献,对云制造模式的产生进行了研究综述并绘制出研究技术路线图,分析了研究的主要方法。同时对云制造及资源配置进行理论研究基础,包括云制造内涵及云制造资源配置进的研究综述,通过与敏捷制造及网格化制造技术进行对比分析,得出云制造在资源配置上的优越性和创新性。其次,对制造资源虚拟化研究,通过计算机技术、物联网、无线终端、互联网等先进技术是将物理资源与知识、信息、数据进行整合转变成可以描述的虚拟资源并上传至虚拟资源云池。资源虚拟化技术是将物理实体资源转化为虚拟资源的并经途径也是决定云制造资源配置的关键。在对制造资源进行虚拟化处理后得到云制造资源,并将这类资源进行信息采集和分类储存。通过对云制造服务平台接受的产品定制任务进行分解和任务分工,并对子任务所需资源进行资源组合优选,运用主要目标法和灰色关联度模型,筛选出最优的云制造资源组合方案,以保证整个制造任务的资源利用效率最优,并提供客户最优质的制造服务体验。最后,本文结合国家“863”计划项目对云制造资源优化配置进行了案例分析,通过模型计算分析得出了整个生产制造任务最优的云制造资源配置方案,使得整个制造过程的时间、成本和质量等评价指标得到了最优化的控制,验证了云制造在资源配置上相比于传统制造的优越性和创新性。
[Abstract]:With the development of the information technology revolution in the new era, the new production technology is producing and replacing the traditional backward production technology one by one. China is a large manufacturing country, manufacturing industry occupies an important position in the industrial structure of our country. Facing the situation of simple manufacturing technology, extensive mode of production and serious waste of manufacturing resources in China's traditional manufacturing industry, the manufacturing industry occupies an important position in the industrial structure of our country. Our country has put forward the development strategy of manufacturing informatization, that is, the manufacturing industry of our country has changed from a single production type to a service type, from the low end of the value chain to the middle and high end, from a large manufacturing country to a powerful manufacturing country. The generation of cloud manufacturing model is the result of the transformation from traditional manufacturing to new manufacturing. It is a new manufacturing model that combines traditional physical resources with Internet, computer technology, knowledge information, etc. It is the result of technological revolution to improve the efficiency of resource utilization and to satisfy customers' diversified demand for products. In this paper, the problem of cloud manufacturing resource allocation is studied. First of all, the research background and significance, research methods and research technology route of cloud manufacturing are expounded. Through consulting relevant research literature, the paper summarizes the generation of cloud manufacturing model and draws out the research technology roadmap. The main research methods are analyzed. At the same time, the theoretical research foundation of cloud manufacturing and resource allocation, including the connotation of cloud manufacturing and the research of cloud manufacturing resource allocation, are reviewed, and compared with agile manufacturing and grid manufacturing technology. The superiority and innovation of cloud manufacturing in resource allocation are obtained. Secondly, research on virtualization of manufacturing resources, through computer technology, Internet of things, wireless terminal, Internet of Technology and other advanced technologies is the physical resources and knowledge, information, The data is integrated into a virtual resource that can be described and uploaded to the virtual resource cloud pool. Resource virtualization technology is the key to change physical entity resources into virtual resources and determine the allocation of cloud manufacturing resources. After virtualization of manufacturing resources, cloud manufacturing resources are obtained, and these resources are collected and stored separately. By decomposing and dividing the product customization tasks accepted by the cloud manufacturing service platform, and selecting the resources needed by the sub-tasks, the main objective method and the grey relational degree model are used. The optimal cloud manufacturing resource combination scheme is selected to ensure the optimal resource utilization efficiency of the whole manufacturing task and to provide customers with the best manufacturing service experience. Finally, this paper analyzes the optimal allocation of cloud manufacturing resources based on the national "863" project. Through the model calculation and analysis, the optimal cloud manufacturing resource allocation scheme for the whole manufacturing task is obtained. The evaluation indexes of time, cost and quality of the whole manufacturing process are optimized, and the superiority and innovation of cloud manufacturing in resource allocation compared with traditional manufacturing are verified.
【学位授予单位】：天津理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F424

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