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Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning

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Conference

2023 ASEE Annual Conference & Exposition

Location

Baltimore , Maryland

Publication Date

June 25, 2023

Start Date

June 25, 2023

End Date

June 28, 2023

Conference Session

Manufacturing Workforce Development

Tagged Division

Manufacturing Division (MFG)

Page Count

13

DOI

10.18260/1-2--43543

Permanent URL

https://peer.asee.org/43543

Download Count

113

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Paper Authors

biography

Hayder Zghair Southern Arkansas University

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Dr. Hayder Zghair is an assistant professor of industrial engineering and director of Industrial Engineering development in the College of Science and Engineering at Southern Arkansas University. He completed a B.S. and an M.S. from the University of Technology, where he majored in Industrial and Production Engineering. Dr. Zghair earned his second master’s degree in Manufacturing Systems Engineering and Doctor’s Degree in Manufacturing Systems Engineering from Lawrence Technological University, Michigan, USA. He has published journal and conference papers. His research interests include Flexible-Automated Manufacturing, Robotics, Human Factors and Ergonomics, Sustainability Engineering, Analytical Modeling & Simulation, and Optimization. Dr. Zghair chairing and member of several committees at the department, college, and university levels. Dr. Zghir is the faculty advisor of SAE students’ chapter at SAU and IEOM Students chapter. He is a professional member of ASEE, SAE, INFORMS, and IEOM.

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biography

Rungun Nathan Pennsylvania State University, Berks Campus Orcid 16x16 orcid.org/0000-0002-0651-1448

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Rungun Nathan, a professor and program chair for the mechanical engineering department, joined the faculty at Penn State Berks in 2007 as an assistant professor and was promoted in 2012 to associate professor. He has over 25 combined years of increasing responsibilities in industry and in academia, including at the Centre for Development of Telematics (C-DOT), a telecommunications technology arm of the Indian government, the Indian Institute of Science (IISc.), Bangalore, and Villanova University, PA.
Nathan received his BS from the University of Mysore, a postgraduate diploma from the Indian Institute of Science, an MS from Louisiana State University, and a PhD from Drexel University. He worked in electronic packaging in C-DOT and then as a scientific assistant in the robotics laboratory at IISc. in Bangalore, India, and as a postdoc at the University of Pennsylvania in haptics and virtual reality. His research interests are in the areas of brain traumatic injury, unmanned vehicles, particularly flapping flight and Frisbees, mechatronics, robotics, MEMS, virtual reality, and haptics, as well as teaching with technology. He has ongoing research in brain traumatic injury, flapping flight, frisbee flight dynamics, lift in porous material, and wound therapy. He is an active member of APS (DFD), ASEE, ASME, and AGMA, and is a reviewer for several ASME, IEEE, ASEE, and FIE conferences and journals. He is co-editor for ASEE publication Computers in Education.
Nathan has been a very active member of both the Mechanics and Mechanical Engineering Divisions of ASEE since 2006. He started as a member at large and then rose to chair the Mechanics Division in 2012–2013. He currently is chair of the Mechanical Engineering Division after starting as member at large in 2017. Nathan also has been an active member of ASEE’s Engineering Technology, Computers in Education, Educational Research Methods, Multidisciplinary Engineering, Experimentation and Laboratory-Oriented Studies, and Systems Engineering Divisions. He is currently nominated as a Program Evaluator for ABET.

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Abstract

Managing the manufacturing input such as designs, energy, and raw stock to sustainably operate machinery system demands a real-time data that can be used to control the process and can result in not only economic improvements but contribute to friendly environmental outcomes. The complexity of manufacturing systems and the need for interchangeability presents an ideal environment to implement smart manufacturing with the goal of sustainability. Manufacturing engineering in an educational classroom is a good place to guide through and examine the shift to smart industrial system using elements of industry 4.0 (i4.0), industrial internet of thing (IIoT), digital cloud, dashboards, data collection and processing with integrative sensors. In this paper, the authors present smart manufacturing engineering course they developed and implemented. A summary of two offerings of this course in the Spring semester is briefly described. It provided high engagement for students. It also provided a platform to implement IIoT, digital cloud, real time data collection to help with detection of unplanned events and behavior. The setup also provided tools for fast correction response and documentation.

Zghair, H., & Nathan, R. (2023, June), Implementing i4.0 Tech to Engineering Systems Lab for Smart Manufacturing Learning Paper presented at 2023 ASEE Annual Conference & Exposition, Baltimore , Maryland. 10.18260/1-2--43543

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