Our next generation of industry-lndustry 4.0-holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope wit...Our next generation of industry-lndustry 4.0-holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things （IoT）- enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the loT, cyber-physical systems （CPSs）, cloud computing, big data analytics （BDA）, and information and communications technology （ICT） that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.展开更多
The fourth industrial revolution promises to create what has been called the smart factory. The vision is that within such modular structured smart factories, cyber-physical systems monitor physical processes, create ...The fourth industrial revolution promises to create what has been called the smart factory. The vision is that within such modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralised decisions. This paper provides a view of this initiative from an automation systems perspective. In this context it considers how future automation systems might be effectively configured and supported through their lifecycles and how integration, application modelling, visualisation and reuse of such systems might be best achieved. The paper briefly describes limitations in current engineering methods, and new emerging approaches including the cyber physical systems （CPS） engineering tools being developed by the automation systems group （ASG） at Warwick Manufacturing Group, University of Warwick, UK.展开更多
随着经济全球化进程的深化以及互联网信息技术的快速发展,商业模式已成为国内外学术界的研究热点和前沿领域之一.服务行业相关的商业模式作为企业成功的基础与核心竞争力,在赢得广泛关注的同时,更面临着巨大的挑战.本文以服务行业为研...随着经济全球化进程的深化以及互联网信息技术的快速发展,商业模式已成为国内外学术界的研究热点和前沿领域之一.服务行业相关的商业模式作为企业成功的基础与核心竞争力,在赢得广泛关注的同时,更面临着巨大的挑战.本文以服务行业为研究对象,运用系统工程的方法分析服务业商业模式的研究进展.首先,本文运用CiteSpace软件,并根据Web of Science核心数据库的相关数据对服务行业商业模式的相关文献进行计量分析.此外,由于服务行业具有范围大、领域广的特点,本文将服务行业细分为五个子领域,分别对其相关研究工作进行综述,从而较为全面地呈现了服务行业商业模式的研究进展,并对未来的研究方向提出相关建议,希望可以引起相关领域的广泛关注.展开更多
文摘Our next generation of industry-lndustry 4.0-holds the promise of increased flexibility in manufacturing, along with mass customization, better quality, and improved productivity. It thus enables companies to cope with the challenges of producing increasingly individualized products with a short lead-time to market and higher quality. Intelligent manufacturing plays an important role in Industry 4.0. Typical resources are converted into intelligent objects so that they are able to sense, act, and behave within a smart environment. In order to fully understand intelligent manufacturing in the context of Industry 4.0, this paper provides a comprehensive review of associated topics such as intelligent manufacturing, Internet of Things （IoT）- enabled manufacturing, and cloud manufacturing. Similarities and differences in these topics are highlighted based on our analysis. We also review key technologies such as the loT, cyber-physical systems （CPSs）, cloud computing, big data analytics （BDA）, and information and communications technology （ICT） that are used to enable intelligent manufacturing. Next, we describe worldwide movements in intelligent manufacturing, including governmental strategic plans from different countries and strategic plans from major international companies in the European Union, United States, Japan, and China. Finally, we present current challenges and future research directions. The concepts discussed in this paper will spark new ideas in the effort to realize the much-anticipated Fourth Industrial Revolution.
基金support for this work from UK EPSRC,through the Knowledge-DrivenConfigurable Manufacturing (KDCM) research project under the Flexible and Reconfigurable Manufacturing Initiativefrom Innovate UK on the Direct Digital Deployment project, and from ARTEMIS on the Arrowhead project
文摘The fourth industrial revolution promises to create what has been called the smart factory. The vision is that within such modular structured smart factories, cyber-physical systems monitor physical processes, create a virtual copy of the physical world and make decentralised decisions. This paper provides a view of this initiative from an automation systems perspective. In this context it considers how future automation systems might be effectively configured and supported through their lifecycles and how integration, application modelling, visualisation and reuse of such systems might be best achieved. The paper briefly describes limitations in current engineering methods, and new emerging approaches including the cyber physical systems （CPS） engineering tools being developed by the automation systems group （ASG） at Warwick Manufacturing Group, University of Warwick, UK.
文摘随着经济全球化进程的深化以及互联网信息技术的快速发展,商业模式已成为国内外学术界的研究热点和前沿领域之一.服务行业相关的商业模式作为企业成功的基础与核心竞争力,在赢得广泛关注的同时,更面临着巨大的挑战.本文以服务行业为研究对象,运用系统工程的方法分析服务业商业模式的研究进展.首先,本文运用CiteSpace软件,并根据Web of Science核心数据库的相关数据对服务行业商业模式的相关文献进行计量分析.此外,由于服务行业具有范围大、领域广的特点,本文将服务行业细分为五个子领域,分别对其相关研究工作进行综述,从而较为全面地呈现了服务行业商业模式的研究进展,并对未来的研究方向提出相关建议,希望可以引起相关领域的广泛关注.
