Immersive Virtual Training Environment for Teaching Single- and Multi-queuing Theory: Industrial Engineering Queuing Theory Concepts
- Conference
- Location
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Salt Lake City, Utah
- Publication Date
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June 23, 2018
- Start Date
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June 23, 2018
- End Date
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July 27, 2018
- Conference Session
- Tagged Division
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Industrial Engineering
- Tagged Topic
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Diversity
- Page Count
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22
- DOI
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10.18260/1-2--30597
- Permanent URL
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https://peer.asee.org/30597
- Download Count
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692
Paper Authors
Michael Andre Hamilton Mississippi State University
Dr. Michael A. Hamilton is the Associate Director at Mississippi State Institute for System Engineering Research (ISER) in Vicksburg, MS. He received his Doctorate, Master's and Bachelor's degrees in Industrial and Systems Engineering from Mississippi State University and has a graduate certificate in Modeling, Simulation, and Visualization Engineering from Old Dominion University. He also received two certifications in Big Data Analytics from University of California, San Diego and Data Science from John Hopkins University. He worked several years in the printing manufacturing industry where he served in numerous positions such as a Manufacturing Engineer, Global Expansion Engineer, and the Manager of Production Operations for the Memphis Division at Mimeo.com.
While attending Mississippi State, Dr. Hamilton developed in-depth research in the effects of obesity in assembly manufacturing and minimizing disruption of freight and passenger flow in the event of terrorist attacks or natural disasters. He has also participated in sponsored research by the Office of Naval Research (ONR) investigating the effects of ship motion on human performance aboard the Littoral Combat Ship, developing human performance algorithms to minimize the effects of motion, fatigue, and temperate on board ship platform, evaluating the Ammunition Canister Protection for the MRAP MATV, and the ETOWL "Lightening the Warfighter Load" for the Marines Expeditionary Warfighter Squad.
Currently, he's the technical lead for Big Data Analytic and Visualization, and Surrogate Modeling efforts in conjunction with the U.S. Army Engineer Research and Development Center (ERDC).
Raed Jaradat Mississippi State University
Raed M. Jaradat is an Assistant Professor at Mississippi State University. His research interests include engineering management, systems engineering, Risk Management, Reliability for System of Systems, and Systems Simulation. He is a topic leader in systems thinking, including systems theory and complex systems, for the Society for Engineering and Management Systems (SEMS). Prior to joining the doctoral program at ODU, he worked as a systems analyst and operations officer for five years. He is a past proceedings chair of the American Society for Engineering Management and is currently a member of the Academy of Management and Institute of Industrial Engineers. He holds a BS in Business, an MA in Operations Management, and PhD in Engineering Management from Old Dominion University.
Parker Jones Mississippi State University
Emily S. Wall Mississippi State University
Emily Wall is a summa cum laude Industrial and Systems Engineering 2015 graduate of Mississippi State University, and a 2012 graduate of Itawamba Community College. After college, she accepted a position as a Research Engineer at Mississippi State University’s Institute for Systems Engineering Research, located in Vicksburg, MS, on the campus of the Engineering Research and Development Center. While at ISER, her research areas include lean six sigma practices and applications, manufacturability, virtual reality applications and Mississippi economic improvement projects. She is a certified Six Sigma Black Belt and is a graduate student at Mississippi State University pursuing her doctorate in Industrial Engineering.
Vidanelage Lakshika Dayarathna Mississippi State University
Debisree Ray Mississippi State University
Ginnie Shih En Hsu
Abstract
In the domain of Industrial Engineering (IE), there are several theoretical concepts such as, inventory theory and queuing theory. The implementation of VR technology in the IE domain can benefit students by providing an immersive and interactive environment and presenting a more practical and visual context to the theoretical concepts than can be provided through traditional teaching methods. The proposed VR teaching modules allow students 1) to experience the sense of being present in a virtual queuing system environment that is representative of a real-world engineering situation, 2) to expand their natural perceptive abilities and authentic experience, and 3) to eliminate the need to deal with any expensive equipment or risky environments to understand the application of queuing theory. The purpose of the research is to investigate how well students gained conceptual knowledge of queuing theory using the developed VR teaching module. Queueing theory is defined as the mathematical study of waiting lines. In this study students were provided a conceptual queuing theory quiz after the VR teaching module, and then they performed the NASA-TLX to evaluate their perceived workload and effort in competing conceptual quiz. Results showed that students performed well on the theoretical conceptual quiz, and the overall perceived work effort was mentally and physically low.
Hamilton, M. A., & Jaradat, R., & Jones, P., & Wall , E. S., & Dayarathna, V. L., & Ray, D., & Hsu, G. S. E. (2018, June), Immersive Virtual Training Environment for Teaching Single- and Multi-queuing Theory: Industrial Engineering Queuing Theory Concepts Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah. 10.18260/1-2--30597
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