Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
17
10.18260/1-2--40637
https://peer.asee.org/40637
903
Dr. Joseph Ekong is an Assistant Professor in the Department of Industrial Engineering and Engineering Management at Western New England University. Previously, he served on the faculty at Ohio Northern University. Dr. Ekong received his Bachelor of Engineering degree in Electrical and Electronics Engineering from the University of Uyo, Nigeria in 2005 and Master of Science degree in Industrial and Systems Engineering from Georgia Institute of Technology in 2009. He also received a Ph.D. in Industrial and Systems Engineering at Auburn University in 2017. His research and teaching interests include advanced manufacturing systems, additive manufacturing, robotics, automation systems and Industrial 4.0, data analytics, and engineering education.
Dr. Vedang Chauhan is an Assistant Professor in Mechanical Engineering Department at Western New England University (WNE) in Massachusetts, USA. He has more than 16 years of research and teaching experience in the field of Mechatronics Engineering and Robotics. During his academic tenure, he has worked on the private and government funded industry research projects and published scholarly articles and acted as a reviewer for machine vision, robotics, sensors and machine learning journals.
Dr. Chauhan has received undergraduate and graduate engineering degree in Mechatronics and Mechanical Engineering from India and PhD degree in Mechanical Engineering from Queen’s University, Canada. He is a Professional Engineer (P.Eng.) license holder, Canada. During his research career, he has worked at universities in India, Canada and USA at various positions. He has worked as an Assistant Professor at G. H. Patel College of Engineering & Technology, India, Adjunct Assistant Professor at Queen’s University, Canada, Instructor at St. Lawrence College, Canada and Assistant Professor at WNE, USA. Dr. Chauhan has also worked at industries in India (Elecon Engineering Company) and Canada (Bluewrist- Robotic and Vision Company). At WNE, Dr. Chauhan researches and teaches in the area of mechatronics, machine vision, robotics and applied machine learning.
Janose Osedeme is currently a Ph.D. candidate and Doctoral Fellow of the Engineering Management program at Western New England University. He earned two Master degrees from Pennsylvania State University; Master of Science in Mechanical Engineering in 2020 and Master of Professional Studies in Engineering Management in 2016, in addition to a Bachelor of Engineering degree in Mechanical Engineering from Covenant University in 2013. He is a PMI Certified Project Manager PMP®. Janose has worked in industrial engineering and project management roles in the manufacturing industry. He has also worked on novel biomechanical research projects with the Pennsylvania State University College of Medicine. Janose also taught engineering courses at Pennsylvania State University. His research, and teaching interest include innovative product development, additive manufacturing, and project management.
Seyed A. Niknam received his B.S. in Mechanical Engineering from Tehran Azad University. He completed his MS degree in Advanced Manufacturing Systems at Brunel University, in the UK. He received another MS degree in Reliability and Maintainability Engineering from University of Tennessee, Knoxville (UTK). He also completed his Ph.D. in Industrial and Systems Engineering at UTK. Currently, he serves as an Associate Professor of Industrial Engineering and Engineering Management at WNE. He is active in scholarship in the area of advanced manufacturing systems with focus on health monitoring and prognostics, additive manufacturing, and Industry 4.0.
Richard Nguyen received his Bachelors of Engineering at Western New England University in 2021. He has worked with Fanuc’s ABB robotic systems in the Foundry Industry since 2016 and currently manages the 3D Printing Department for sand molds at Trident Alloys while maintaining his position as a Quality Engineer in this foundry. With his current 5 years of experience in this manufacturing industry, he had worked on various government/private projects with the use of Robotic Manufacturing to create metal castings. These projects start from 2D drawings to fully casted final metal castings, with and without the use, of physical patterns. Richard also works together with Putnam Vocational Technical Academy here in Springfield, and helps pave a way to introduce High-School trade students to the manufacturing world through Co-op opportunities at Trident Alloys.
Industry 4.0 is a term used to describe the future of work environments in manufacturing and production systems. It uses intelligent technologies to automate and integrate traditional manufacturing and industrial processes. A practical understanding of the various technologies used in such systems is critical to succeeding in this new environment. Unfortunately, the manufacturing sector is struggling to recruit competent workers due to a workforce decline of 30% in 1960, 14% decline as recently as early 2000, and approximately 10% decline in recent years. A significant reason for this drop is an increased reliance on technology in modern manufacturing. The challenge of identifying and recruiting talents to manage these technologies has affected employers. To address this need, engineering educators must devise innovative, fun, and engaging ways of helping students to understand the concepts of Industry 4.0 and obtain the required skills. Project-based and experiential learning is proven to be effective in assisting students to gain a deeper understanding of subject matter via engaging in solving challenging factual problems. This paper highlights different approaches to provide realistic and practical opportunities for students to learn and understand subject matter contents in the manufacturing field. The effects of project-based and experiential learning approaches focused on applying various pillars of Industry 4.0 concepts, such as manufacturing assembly, robotics, and additively manufactured fixtures. The feedback from project-based learning suggest the willingness of students to undertake projects centered around Industry 4.0. Their understanding of these essential concepts improved after undertaking such multi-faceted projects.
Ekong, J., & Chauhan, V., & Osedeme, J., & Niknam, S., & nguyen, R. (2022, August), A framework for Industry 4.0 workforce training through project-based and experiential learning approaches Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40637
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