Integrated and Intelligent Manufacturing: Perspectives and Enablers

被引:187
作者
Chen, Yubao [1 ]
机构
[1] Univ Michigan, Dept Ind & Mfg Syst Engn, Dearborn, MI 48128 USA
关键词
Integrated manufacturing; Intelligent manufacturing; Cloud computing; Cyber-physical system; Internet of Things; Industrial Internet; Predictive analytics; Manufacturing platform;
D O I
10.1016/J.ENG.2017.04.009
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership (AMP) in 2011 and the National Network for Manufacturing Innovation (NNMI) in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further "leverage existing resources... to nurture manufacturing innovation and accelerate commercialization" by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10-year plan and roadmap toward manufacturing: Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features: integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing (i(2)M) systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Internet of Things and Services (IoTS), cyber-physical systems (CPSs), and cloud computing are discussed. Challenges are addressed with applications that are based on commercially available platforms such as General Electric (GE)'s Predix and PTC's ThingWorx. (C) 2017 THE AUTHORS. Published by Elsevier LTD on behalf of the Chinese Academy of Engineering and Higher Education Press Limited Company.
引用
收藏
页码:588 / 595
页数:8
相关论文
共 14 条
[1]  
[Anonymous], INFORMATIONWEEK
[2]  
[Anonymous], IBM SPSS PRED AN ENT
[3]  
[Anonymous], 2017, THINGWORX IOT TECHN
[4]  
Ericson G, 2017, DEPLOY AZURE MACHINE
[5]  
Evans D., 2011, The Internet of Things: How the Next Evolution of the Internet Is Changing Everything, V1, P1
[6]  
Feuer Z, 2016, SMART FACTORY FACTOR
[7]  
GE Digital, 2016, CISC VIS NETW IND GL
[8]  
Kagermann H, 2013, Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0 Securing the Future of German Manufacturing Industry
[9]  
Lee Jay, 2015, Manufacturing Letters, V3, P18, DOI 10.1016/j.mfglet.2014.12.001
[10]  
Lee X.E., 2015, CKGSB KNOWL