We have witnessed the power of mechanization in the early nineteen century, automation in the seventies, information and the internet in the last decades. But now, the adaptation of connected intelligence into the business and social fabrics is advancing at an astonishing speed, which will completely change the way we conduct business.
In this course,we will discuss changes/predictions we forsee in the future, such as:
- The credit card business will fade out gradually
- All currency will be bitcoin
- Whereas traditional internet gives rise to digital divide, the mobile internet will narrow the wealth gap
- Most e-business models will become obsolete, leaving customer to factory (C2F)
- No more talents to hide except partners
- Mobile phones will be outdated and replaced by augmented virtual reality (AVR)
- Big corporates will transform to big platforms
- The birth of real Internet economics
- The death of global manufacturing to networked and dispersed manufacturing
This course will explain how these changes will be brought about by the extensive use of digital intelligence, which will be available on mobile, internet, and pervasive computing as homes, offices and factories become a well knitted cyber-physical system.
Enabling tools such as Cloud Computing, Big Data, Internet of Things and Cyber Physical Systems are introduced. Automation, intelligence and collaborations are also discussed with particular reference to smart manufacturing, smart products/services and smart cities, and their opportunities and challenges.
This is not a technical course; instead part of the focus is on organizational readiness, skills gaps and competencies for knowledge workers to fully leverage the power of Industry 4.0.
Suitable for learners from all disciplines and interested in the mega changes to our society.
- Understand the various stages of industrial revolutions
- Understand the Future of Work and the skills needed
- The drivers, enablers and compelling forces for Industry 4.0’s advancement
- Smart factories and howthey compare to existing ones
- Understand whatInternet of Thing (IoT) and Industrial Internet of Things (IIoT)
- Predictive Analysis, Big Data leading to data-driven decisions and automation
- Cyber Physical Systems and other major systems in Industry 4.0
- Understand the role and importance of data and cloud computing
- How to use the Cloud to support human-machine collaborative efforts
- The use of collaborative robots
- Examples of smart automations, products and services
- The challenges in cybersecurity and how to reduce them
- How organizations and knowledge workers can better prepare for Industry 4.0
Dr. Jay Lee is Vice Chairman and Board Member of Foxconn Technology Group. He is also Ohio Eminent Scholar and L.W. Scott Alter Chair Professor, and Univ. Distinguished Professor at the Univ. of Cincinnati and is founding director of National Science Foundation (NSF) Industry/University Cooperative Research Center (I/UCRC) on Intelligent Maintenance Systems (www.imscenter.net) which consists of the Univ. of Cincinnati (lead institution), the Univ. of Michigan, and the Univ. of Texas-Austin. Since its inception in 2001, the Center has been supported by over 100 global companies. IMS was selected as the most economically impactful I/UCRC in the NSF Economic Impact Study Report in 2012 which reported that the Center has delivered to its members a combined benefit of $847.6 million in cost savings, and that the Center returned $238.30 of benefits for every $1 invested by the National Science Foundation.
He is also the Founding Director of Industrial AI Center (www.iaicentrer.com). He was selected to be one of the 30 Visionaries in Smart Manufacturing in U.S. by SME in Jan. 2016. He has also been selected as 20 most influential professors in smart manufacturing by SME Smart Manufacturing Magazine in 2020. He also serves as senior advisor to McKinsey & Company as well as a member of the Global Future Council on Production of the World Economics Council (WEF).
Previously, he served as director for product development and manufacturing at United Technologies Research Center (UTRC) as well as program directors for a number of programs at NSF including the Engineering Research Centers Program, the Industry/University Cooperative Research Centers Program, and Materials Processing, and Manufacturing Program, etc., etc. He also served on the Board on National Research Council (NRC) Manufacturing and Engineering Design (BMAED) during 1999-2005 as well as a number of NRC Study and Assessment Panels since 1999. He is a frequently invited speaker and has delivered over 260 keynote and plenary speeches at major international conferences. He is a Fellow of ASME, SME, PHM (Prognostics and Health Management), as well as a founding fellow of International Society of Engineering Asset Management (ISEAM).
He has received a number of awards including the Prognostics Innovation Award at NI Week by National Instruments in 2012, NSF Alex Schwarzkopf Technological Innovation Prize in 2014, MFPT (Machinery Failure Prevention Technology Society) Jack Frarey Award in 2014, and PICMET Medal of Excellence in 2016.
Professor Doug Vogel is the chief academic director of management science and engineering of HIT. He was selected by the "Foreign Experts thousands of people plan," the International Academy of Information Systems Association (AIS Fellow) and the International Association for Information Systems (AIS President). Reviewer for:
TMIS, IEEE Transactions on Professional Communication, Group Decision and Negotiation, European Journal of Information Systems, Journal of Strategic Information Systems, MIS Quarterly, Communications of the ACM, Management Science, Decision Sciences Recognition and Awards:
State Specially Recruited Expert, P.R. China - 2013
Association for Information Systems (AIS) President - 2012
Association for Information Systems (AIS) President-elect - 2011
Kappa Delta Pi (International Honor Society in Education) - 2011