Industrial Internet of Things and Smart,
Personalized Manufacturing
S. Jack Hu, Ph.D.
The University of Georgia
Industrial Internet of Things enables the connection of manufacturing machines, systems and enterprises and the rapid communications of data among them. Such data provide unprecedented opportunities for smart manufacturing, including real-time monitoring and optimal decision making. But the volume, velocity, and variety of data also pose challenges in processing and understanding. This talk will provide an overview of smart manufacturing characteristics and the need for data analytics research for achieving smart manufacturing. In addition, the connection among customers, manufacturers, and suppliers are also creating a new paradigm of personalized manufacturing where customers actively participate in the design and fabrication of products or product components. Research in personalized manufacturing will also be highlighted.
Jack Hu, Ph.D., is the Senior Vice President for Academic Affairs and Provost, and UGA Foundation Distinguished Professor of Engineering at the University of Georgia. Dr. Hu’s teaching and research interest are in manufacturing. He has authored or co-authored nearly 200 peer-reviewed journal articles related to his research in manufacturing systems, assembly and materials joining, and engineering statistics. He holds six patents, co-founded a startup company based on his research, and worked closely with several industry partners to enhance manufacturing quality and productivity.
Prior to joining the University of Georgia, Hu was the Vice President for Research, the J. Reid and Polly Anderson Professor of Manufacturing at the University of Michigan. He is a member of the National Academy of Engineering and serves as a member of the Executive Committee of the National Academies’ Transportation Research Board. He is a Fellow of the American Society of Mechanical Engineers, the Society of Manufacturing Engineers, the International Academy for Production Engineering (CIRP), and a foreign member of the Chinese Academy of Engineering. He is the recipient of several professional awards and best paper awards.
Cyber-physical-System Technologies for Smart,
Connected Products
Xun Xu, Ph.D.
The University of Auckland
Recent advancement of smart technologies, such as cloud computing, wireless sensor networks, and big data analytics, has empowered us to develop innovative digital solutions to enhance the performance, output, monitoring, and control of engineering products and processes. An underpinning concept is cyber-physical systems (CPS). CPS technologies, e.g. Digital Twins, can be implemented to yield next-generation products that are smart, connected and service-orientated, which may otherwise be known as cyber-physical product-service systems. This talk will provide an overview of CPS technologies with a particular focus on how CPS technologies can be implemented for developing intelligent through-life engineering systems and services. Real-world examples will also be presented.
Xun Xu, Ph.D., is the Chair of Manufacturing in the Department of Mechanical Engineering at the University of Auckland. He joined the Department after completing a PhD from the University of Manchester (then UMIST), UK in 1996. He has been working in the field of intelligent manufacturing solutions for some 30 years. Dr. Xu is an internationally recognized expert in smart manufacturing systems, cloud-based manufacturing and IoT enabled manufacturing. He serves as an Associate Editor and member of Editorial Board of a number of international journals and has published over 350 research papers. Dr. Xu is the founding Director of the University of Auckland “Innovative Manufacturing and Materials” Program, which draws expertise and experts from the Faculties of Engineering, Business and Science of the University. He is the Director of Laboratory for Industry 4.0 Smart Manufacturing Systems (LISMS), the only Laboratory for Industry 4.0 in New Zealand. His current research focus is around the Industry 4.0 technologies, e.g. smart factories, digital twins, cloud manufacturing, Augmented Reality (AR)/Virtual Reality (VR) for manufacturing, big industrial data and data analytics. Dr. Xu is the Fellow of American Society for Mechanical Engineers (ASME) and Engineering New Zealand (EngNZ).
Combining Digital Twin with Big Data for Improved Through-Life Product Services
Lihui Wang, Ph.D.
KTH Royal Institute of Technology
Through-life product services depend on the timely acquisition, distribution, monitoring and utilization of usage information from the products across spatial boundaries. These activities can improve accuracy and reliability in utilizing the products and help in maintenance scheduling to bring the products back to normal service conditions. As emerging tools, digital twin and big data analytics provide new opportunities to achieve this objective. This presentation will first present the current status and the latest advancement of Industry 4.0 and AI in general, and digital twin and big data in particular. In order to understand such new technologies and their future potential in through-life engineering services, definitions and characteristics among them will be explained and compared. This talk will then project their future growth enabled by digital twin and big data technologies. Research and applications will also be outlined to highlight the latest advancement in the field. While digital twin and big data show great promise in the future, challenges towards Internet-of-Everything in the areas of future trends remain to be identified in this talk.
Lihui Wang, Ph.D., is a Professor and Chair of Sustainable Manufacturing at KTH Royal Institute of Technology, Sweden. His research interests are focused on cyber-physical systems, cloud manufacturing, real-time monitoring and control, predictive maintenance, human-robot collaborations, adaptive and sustainable manufacturing systems. Professor Wang is actively engaged in various professional activities. He is the Editor-in-Chief of International Journal of Manufacturing Research, Editor-in-Chief of Robotics and Computer-Integrated Manufacturing, and Editor-in-Chief of Journal of Manufacturing Systems. He has published 8 books and authored in excess of 450 scientific publications. Professor Wang is a Fellow of Canadian Academy of Engineering, CIRP, SME and ASME. He is also a Professional Engineer in Canada, the President-Elect of North American Manufacturing Research Institution of SME, and the Chairman of Swedish Production Academy.
Through-life and Beyond: Leveraging the Internet of Things (IoT) and Industry 4.0 at Product, Process, and System Levels to Advance Circular Economy
I.S. Jawahir, Ph.D.
University of Kentucky
With rapid population growth and an increasing global standard of living, the demand for manufactured goods is set to reach unforeseen levels. To support a sustainable and equitable future, it is important to decouple resource consumption from manufacturing output. While the Circular Economy (CE) concept promises to reduce resource consumption, it must advance beyond “end-of-pipe” solutions that heavily focus on recycling and reuse of raw materials. We must aim to leverage all of the 6R elements (Reduce, Reuse, Recycle, Recover, Redesign, and Remanufacture) of sustainable manufacturing across the fundamental levels of manufacturing: products, processes, and systems. To achieve this, the Internet of Things (IoT) and Industry 4.0 have a critical role to play in the orchestration and implementation. This presentation shows that IoT can be used to increase the amount of life-cycle information available to manufacturers through the use of a sensor network that collects data across all stages of the product life-cycle (pre-manufacturing, manufacturing, use, and post-use). This presentation investigates the use of IoT across product, process, and system levels to advance the CE and sustainable manufacturing across the manufacturing sector.
I.S. Jawahir, Ph.D., is the James F. Hardymon Endowed Chair in Manufacturing Systems and the Founding Director of the Institute for Sustainable Manufacturing (ISM) at the University of Kentucky. Prof. Jawahir’s current research activities include sustainable product design and manufacturing processes. His early pioneering work on product and process design for sustainability and sustainable manufacturing processes, focusing on dry, near-dry, also known as MQL, and cryogenic machining/processing of materials, are well-recognized world-wide. He has produced over 400 technical research papers, including over 145 refereed journal papers, and has been awarded with 4 U.S. patents. Prof. Jawahir is a Fellow of CIRP, ASME, and SME. He is the Founding Editor-in-Chief of the International Journal of Sustainable Manufacturing, and the Technical Editor of the Journal of Machining Science and Technology. Prof. Jawahir founded the CIRP International Conference Series on Modeling of Machining Operations in 1998, the CIRP’s International Working Group on Surface Integrity in 2007, and the ASME’s Research Committee on Sustainable Products and Processes.