IEEE Systems, Man, and Cybernetics Magazine - January 2018 - 14

life cycle redesign. Proactive maintenance can also be
applied to the maintenance of manufacturers' own products to enhance after-sales services.
Connected Supply-Chain Management
IoT-enabled systems can connect all parties in the supply chain via real-time information sharing on shop
floors, inventory, purchasing and sales, maintenance,
logistics, and more so that all parties can understand
interdependencies, monitor the flow of materials/parts
and production cycle time, identify potential issues
before they happen, and establish correct measures.
This can exert high impact on effective implementation
of just-in-time or lean manufacturing. Demand, supply,
and feedback information can be accessed by all parties
in real time, which will eliminate the information asymmetry problem.
Conclusion
The IoT is widely accepted as a novel paradigm that can
radically transform the manufacturing industry. It can
realize the seamless integration of various manufacturing
devices equipped with sensing, identification, processing,
communication, actuation, and networking capabilities.
Based on such a highly integrated smart cyberphysical
space, it opens the door to create whole new business and
market opportunities for manufacturing. Even though we
cannot predict exactly when or whether the IoT will be
built globally like the Internet, we can expect it to develop,
first, locally and then gradually and possibly become globally unified in the end. IoT-enabled manufacturing (e.g.,
Industry 4.0, Factory of the Future, and Made in China
2025) is such an effort, which can have a high impact on
the global economy.

Things, and big data analytics. He has published several
books and over 400 papers in scientific journals and international conferences. His work has been cited over 8,000
times with an h-index of 45. He is a Fellow of the IEEE, a
fellow of the Engineering Institute of Canada, and a Distinguished Lecturer of the IEEE Systems, Man, and Cybernetics Society.
Xianbin Wang (xianbin.wang@uwo.ca) earned his
B.S. and M.S. degrees from Lanzhou University, China, and
his Ph.D. degree in electrical and computer engineering
from the National University of Singapore. He is a professor and the Canada research chair at Western University,
Canada. His current research interests include fifth-generation technologies, signal processing for communications,
adaptive wireless systems, communications security, and
locationing technologies. He currently serves as an editor/
associate editor for IEEE Transactions on Vehicular
Technology and IEEE Transactions on Broadcasting. He
was also an associate editor for IEEE Transactions on
Wireless Communications between 2007 and 2011 and
IEEE Wireless Communications Letters between 2011
and 2016. He is a Fellow of the IEEE and an IEEE Distinguished Lecturer.
References
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[4] D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, "Internet of Things: Vision,
applications and research challenges," Ad Hoc Networks, vol. 10, no. 7, pp. 1497-1516,
2012.
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About the Authors
Chen Yang (cyang337@uwo.ca) earned his B.S. and Ph.D.
degrees from Beihang University, Beijing, China, in 2008
and 2014, respectively. He has published more than 25
papers in scientific journals and international conferences.
He served as a reviewer of several renowned international
journals, including IEEE Transactions on Systems, Man,
and Cybernetics: Systems, Cluster Computing and Robotics and Computer-Integrated Manufacturing. His main
research interests include cloud manufacturing, Internet-ofThings-enabled manufacturing and logistics, e-commerce
logistics, manufacturing planning and scheduling, and
big data analytics.
Weiming Shen (wshen@uwo.ca) earned his B.S. and
M.S. degrees from Northern (Beijing) Jiaotong University,
China, and his Ph.D. degree in system control from the
University of Technology of Compiegne, France. He is currently a senior research scientist at the National Research
Council Canada and an adjunct professor at Western University, Canada. His research interests include agent-based
collaboration technology and applications, the Internet of
14

IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE Janu ar y 20 18

try 4.0-based manufacturing systems," Manuf. Lett., vol. 3, pp. 18-23, Jan. 2015.
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pp. 77-95, 2010.



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