Abstract
Digital and smart manufacturing is currently the major driving force for industry, and sensors and data in smart machines are the main building blocks for smart manufacturing. Sensors and data are prevalent in modern society and industry. They are present in our offices, shop floors, in machines and appliances. Sensors are everywhere in manufacturing sectors, where sensors and data are used throughout manufacturing operations and on virtually all manufacturing systems and equipment. Digital and smart manufacturing is currently being realized through Internet of Thing (IoT) and sensor/information fusion.

This presentation will discuss the sensors, data, analytical computation and information fusion for next-generation digital and smart manufacturing. This talk will discuss the availability and utility of sensors on the manufacturing floor, and how such information is being used to improve productivity, quality and profitability. Technical methods of computational data interrogation and information fusion in smart machines development are discussed. This research examines the product development processes with uncontrolled variability and seeks methods to create a repeatable, controlled manufacturing process with defined quality control parameters and predictable input-output relationships. Methods of computational analysis of data and information fusion are presented in dealing with smart machines development for digital manufacturing. Examples of computational data interrogation and information fusion in automotive and airplane manufacturing industry are discussed. The presentation will also provide some insight into the direction that sensor utilization is heading in the manufacturing workspace, and the types of opportunities that they will enable in the very near future. This talk will also explore the possibilities and opportunities the sensor and data technologies may revolutionize manufacturing operations from the production floor to the global supply chain.

Biographical Sketch

Yuan-Shin Lee is Full Professor of Industrial and Systems Engineering at North Carolina State University, U.S.A. He received his Ph.D. and MS degrees from Purdue University, USA, both in industrial engineering, and his BS degree from National Taiwan University, Taiwan, in mechanical engineering. He is a registered professional engineer (PE) in mechanical engineering since 1995. He is also a certified manufacturing engineer (CMfgE) in system integration and control. His research interests include computational geometry for design and manufacturing, system automation, CAD/CAM, rapid prototyping, 3-axis and 5-axis sculptured surface CNC machining, computer-aided molecular design (CAMD), micro/nano manufacturing, and micro-scale biomedical devices development. Dr. Lee is Fellow of American Society of Mechanical Engineers (ASME). He is also Fellow of Institute of Industrial Engineers (IIE).

Dr. Lee received the prestigious National Science Foundation (NSF) CAREER Award. He also received the 1997 Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers (SME), the 1998 Norman Dudley Award from the Taylor & Francis Journals, London, U.K., the 1999 Anderson Outstanding Faculty Award and the 2000 Alumni Faculty Outstanding Award from North Carolina State University, the 2001 ALCOA Foundation Engineering Research Achievement Award, the 2006 IIE Technical Innovation Award for Industrial Engineering, the 2007 IIE Fellow Award from Institute of Industrial Engineers and the 2008 ASME Fellow Award from American Society of Mechanical Engineering. He also received the 2012 CAD Best Paper Award at the 2012 International Computer-Aided Design (CAD) Conference, Canada.Dr. Lee served as the Department Editor of the IIE Transactions. He also served as an Associate Editor for several research journals, including the ASME Journal of Manufacturing Science and Engineering (JMSE), the SME Journal of Manufacturing Systems (JMS), the Journal of Computer Aided Design and Applications (CADA), Journal of Virtual and Physical Prototyping (VPP), the International Journal of Industrial and Systems Engineering (IJISE), the International Journal of Mechatronics and Manufacturing Systems (JMMS), and the International Journal of Production Engineering (IJPE).