数据驱动的产业集群产品协同设计的知识服务研究

发布时间：2018-04-26 02:28

本文选题：数据驱动 + 产业集群　；参考：《宁波大学》2017年硕士论文

【摘要】：随着我国工业化进程的发展,产业集群在我国得到了快速的进步,它是我国块状经济发展的一大特色,对区域经济的发展起到了越来越重要的推动作用。在产业集群内部,成员之间专业分工,同时又结成了长期稳定并且不乏激烈竞争的协作关系,它们之间相互作用,不断促进产业集群的发展,进而形成集群的竞争优势。通过对产业集群的调研分析,本文将产业集群看成一个为客户群提供多样化产品、满足客户个性化需求、具有动态灵活以及广泛协同的业务组织模式,本文称其为广义制造系统。随着市场竞争压力的增大,同时用户与市场对产品外形、功能等要求的多样化和个性化,迫使企业必须加快产品的开发速度和提高产品的设计水平,同时一个企业的资源、设计能力和水平是有限的,因此在产业集群中的成员间需要不断加强与其它成员企业的协作,通过一定的信息共享、知识共享,互相合作地完成整个产品的设计和加工,满足市场的快速、个性化需求,这成为新时期产业集群广义制造系统面临的新需求。因而,本文将产业集群广义制造系统中的产品协同设计作为研究对象,旨在集群层面的有序协同与协作,提高产业集群的整体竞争力,并响应快速多变的全球市场。随着产业集群的不断发展,某些成员企业之间竞争过于激烈,并已逐渐演化为恶性竞争,产品的同质化现象严重,集群环境下的成员企业的布局设计格局混乱、无序,同时在产品协同设计过程中存在着供应链企业的需求信息获取不准确,概念设计过程中设计效率不高、创新能力不足等问题,这些问题的出现不利于产业集群的健康发展。随着大数据时代的到来,数据资产所带来的价值已经引起大量企业的关注,并且在产业集群中积累了大量的产业区域数据,同时还有网络上可被利用的数据资源,这些数据资源经过科学加工,完全可以转化为面向集群的知识服务。为此,本文基于产业集群广义制造系统层面的产品协同设计所面临的问题,提出了数据驱动的产业集群产品协同设计的知识服务理念。本文以面向产业集群广义制造系统层面的产品协同设计为研究对象,以数据驱动的产品协同设计的知识服务为突破点,旨在提高产业集群中产品设计的整个创新能力以及竞争水平。首先,本论文构建了广义制造系统的概念模型,提出产业集群产品协同设计业务过程模型和组织模型,提出了数据驱动的产业集群产品协同设计知识服务模型框架,其次,对集群层面基于数据资源的三个核心知识服务过程进行了深入研究:(1)产业集群产品布局设计(2)需求分析(3)概念设计过程,分别构建了知识服务模型,并对相应的技术与方法进行了深入研究。最后,对产业集群产品协同设计知识服务原型系统进行了初步研究,进行系统总体功能模块的设计、系统总体框架的设计,并对该系统部分功能模块进行了开发,该系统的开发及使用将有助于促进产品协同设计效率的提升,促进整个产业集群的健康发展。
[Abstract]:With the development of China's industrialization process, industrial clusters have made rapid progress in China. It is a major feature of China's massive economic development and has played a more and more important role in the development of regional economy. In the industrial cluster, the professional division of labor among members has formed a long-term stability and no lack of fierce competition in the same time. Through the investigation and analysis of industrial clusters, this paper regards industrial cluster as a business organization model, which provides diversified products for customer groups, meets customer's personalized needs, has dynamic and flexible cooperative business organization. With the increase of market competition pressure and the diversification and individuation of user and market demand for product shape and function, the enterprise must speed up the speed of product development and improve the design level of the product. At the same time, the resources of an enterprise, design ability and level are limited, so it is in the industry set. The members of the group need to continuously strengthen the cooperation with other members, through certain information sharing, knowledge sharing, and cooperation to complete the design and processing of the whole product, and meet the rapid and personalized demand of the market. This has become the new demand for the general manufacturing system of industrial clusters in the new period. Therefore, this article will expand the industry cluster in a broad sense. As the research object, the product collaborative design in the manufacturing system is aimed at the orderly collaboration and cooperation at the cluster level, to improve the overall competitiveness of the industrial cluster and to respond to the rapidly changing global market. With the continuous development of the industrial cluster, the competition among some members is excessively fierce, and has gradually evolved into a vicious competition, and the product is homogeneous. In the cluster environment, the layout design pattern of the member enterprises is chaotic and disordered. At the same time, there are some problems in the process of product collaborative design, such as inaccurate information acquisition of supply chain enterprises, poor design efficiency and lack of innovation ability in the process of conceptual design. The emergence of these problems is not conducive to the healthy development of industrial clusters. With the advent of the era of big data, the value of data assets has aroused the attention of a large number of enterprises, and has accumulated a large number of industrial regional data in the industrial cluster, and there are also available data resources on the network. These data resources can be transformed into cluster oriented knowledge services through scientific processing, and therefore, the data resources can be transformed into cluster oriented knowledge services. Based on the problems faced by the product collaborative design at the broad manufacturing system level of the industrial cluster, this paper puts forward the knowledge service concept of the data driven industrial cluster product collaborative design. This paper takes the product collaborative design at the level of the generalized manufacturing system at the industrial cluster as the research object, and the knowledge of the data driven product collaborative design. Service is a breakthrough point to improve the whole innovation ability and competition level of product design in industrial cluster. Firstly, this paper constructs a conceptual model of the generalized manufacturing system, puts forward the business process model and organization model of the industrial cluster product collaborative design, and puts forward the knowledge service model of the data driven Industrial cluster product collaborative design. Secondly, the three core knowledge service processes based on data resources in cluster level are studied in depth: (1) industrial cluster product layout design (2) requirement analysis (3) conceptual design process, the knowledge service model is constructed respectively, and the corresponding technology and method are studied in depth. Finally, the collaborative design of industrial cluster products is made. The prototype system of knowledge service is preliminarily studied, the design of the overall system function module, the design of the overall framework of the system, and the development of some functional modules of the system are developed. The development and use of the system will help promote the improvement of the efficiency of product collaborative design and promote the healthy development of the whole industrial cluster.

【学位授予单位】：宁波大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F273.2

【相似文献】