The Future of Manufacturing: A New Perspective

被引:74
作者
Wang, Ben [1 ,2 ,3 ]
机构
[1] Georgia Inst Technol, Georgia Tech Mfg Inst, Atlanta, GA 30332 USA
[2] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA
[3] Georgia Inst Technol, Sch Mat Sci & Engn, Atlanta, GA 30332 USA
关键词
Advanced Manufacturing Partnership; Ecosystem; Industry; 4.0; Intelligent manufacturing; Internet of Things; Manufacturing innovation institutes; National Network for Manufacturing; Innovation;
D O I
10.1016/j.eng.2018.07.020
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Many articles have been published on intelligent manufacturing, most of which focus on hardware, software, additive manufacturing, robotics, the Internet of Things, and Industry 4.0. This paper provides a different perspective by examining relevant challenges and providing examples of some less-talked-about yet essential topics, such as hybrid systems, redefining advanced manufacturing, basic building blocks of new manufacturing, ecosystem readiness, and technology scalability. The first major challenge is to (re-)define what the manufacturing of the future will be, if we wish to: (1) raise public awareness of new manufacturing's economic and societal impacts, and (2) garner the unequivocal support of policy-makers. The second major challenge is to recognize that manufacturing in the future will consist of systems of hybrid systems of human and robotic operators; additive and subtractive processes; metal and composite materials; and cyber and physical systems. Therefore, studying the interfaces between constituencies and standards becomes important and essential. The third challenge is to develop a common framework in which the technology, manufacturing business case, and ecosystem readiness can be evaluated concurrently in order to shorten the time it takes for products to reach customers. Integral to this is having accepted measures of "scalability" of non-information technologies. The last, but not least, challenge is to examine successful modalities of industry-academia-government collaborations through public-private partnerships. This article discusses these challenges in detail. (C) 2018 THE AUTHOR. Published by Elsevier LTD on behalf of Chinese Academy of Engineering and Higher Education Press Limited Company.
引用
收藏
页码:722 / 728
页数:7
相关论文
共 26 条
[1]  
Bondi A. B., 2000, Proceedings Second International Workshop on Software and Performance. WOSP2000, P195, DOI 10.1145/350391.350432
[2]  
Cotteleer M., 2013, The 3D opportunity primer: The basics of additive manufacturing
[3]   The evolution and future of manufacturing: A review [J].
Esmaeilian, Behzad ;
Behdad, Sara ;
Wang, Ben .
JOURNAL OF MANUFACTURING SYSTEMS, 2016, 39 :79-100
[4]   An engineering framework for Service-Oriented Intelligent Manufacturing Systems [J].
Giret, Adriana ;
Garcia, Emilia ;
Botti, Vicente .
COMPUTERS IN INDUSTRY, 2016, 81 :116-127
[5]  
Holdren J.P., 2012, Report to the Presi- dent on Capturing Domestic Competitive Advantage in Advanced Manufacturing
[6]   Knowledge framework for intelligent manufacturing systems [J].
Jardim-Goncalves, Ricardo ;
Sarraipa, Joao ;
Agostinho, Carlos ;
Panetto, Herve .
JOURNAL OF INTELLIGENT MANUFACTURING, 2011, 22 (05) :725-735
[7]  
Kellner T., 2017, GE REPORTS, V13
[8]  
Kim A., 2016, SHORTAGE SKILLED WOR
[9]  
Lee Jay, 2015, Manufacturing Letters, V3, P18, DOI 10.1016/j.mfglet.2014.12.001
[10]  
Leiva C., 2018, DEMYSTIFYING DIGITAL