The Future of Manufacturing: A New Perspective
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-talk...
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doaj-d7338e78a85442899da1a13af1c5f53e2020-11-24T21:49:46ZengElsevierEngineering2095-80992018-10-0145722728The Future of Manufacturing: A New PerspectiveBen Wang0Georgia Tech Manufacturing Institute, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USAMany 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. Keywords: Advanced Manufacturing Partnership, Ecosystem, Industry 4.0, Intelligent manufacturing, Internet of Things, Manufacturing innovation institutes, National Network for Manufacturing Innovationhttp://www.sciencedirect.com/science/article/pii/S2095809918300614 |
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language |
English |
format |
Article |
sources |
DOAJ |
author |
Ben Wang |
spellingShingle |
Ben Wang The Future of Manufacturing: A New Perspective Engineering |
author_facet |
Ben Wang |
author_sort |
Ben Wang |
title |
The Future of Manufacturing: A New Perspective |
title_short |
The Future of Manufacturing: A New Perspective |
title_full |
The Future of Manufacturing: A New Perspective |
title_fullStr |
The Future of Manufacturing: A New Perspective |
title_full_unstemmed |
The Future of Manufacturing: A New Perspective |
title_sort |
future of manufacturing: a new perspective |
publisher |
Elsevier |
series |
Engineering |
issn |
2095-8099 |
publishDate |
2018-10-01 |
description |
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. Keywords: Advanced Manufacturing Partnership, Ecosystem, Industry 4.0, Intelligent manufacturing, Internet of Things, Manufacturing innovation institutes, National Network for Manufacturing Innovation |
url |
http://www.sciencedirect.com/science/article/pii/S2095809918300614 |
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