New Orleans, Louisiana
June 26, 2016
June 26, 2016
June 29, 2016
978-0-692-68565-5
2153-5965
Manufacturing
13
10.18260/p.26281
https://peer.asee.org/26281
1168
Dr. Tseng is a Professor and Chair of Industrial, Manufacturing and Systems Engineering at UTEP. His research focuses on the computational intelligence, data mining, bio- informatics and advanced manufacturing. Dr. Tseng published in many refereed journals such as IEEE Transactions, IIE Transaction, Journal of Manufacturing Systems and others. He has been serving as a principle investigator of many research projects, funded by NSF, NASA, DoEd, KSEF and LMC. He is currently serving as an editor of Journal of Computer Standards & Interfaces.
Aditya Akundi is currently a doctoral student at the University of Texas at El Paso in the Electrical and Computer Engineering Department, Industrial and Systems Engineering (ISE) track. He earned a Master of Science in Electrical and Computer Engineering at the University of Texas at El Paso (UTEP) in 2012. He has worked on a number of projects in the field of Electrical & Computer Engineering, Systems Engineering, Additive Manufacturing and Green Energy Manufacturing. He is the current president of INCOSE UTEP student chapter along with being involved in UTEP Green Fund committee. His research interests are in Systems Engineering & Architecture, Complex systems, Systems testing and Application of Entropy to Complex Systems.
Email: sakundi@miners.utep.edu
Born in Texcoco, Estado de Mexico, Mexico on June 14, 1984. Grow up in Madison Wisconsin, USA & Guadalajara, Jalisco, Mexico. Obtained Bachelor degree in Industrial, Manufacturing and Systems Engineering from The University of Texas at El Paso in 2010. Worked for Johnson & Johnson medical device sector from 2010 to 2012, in the Global Operation Leadership Program. Obtained a Master of science degree in Manufacturing engineer in 2012. Worked as Quality engineering at General Labels from 2012 to 2014. Currently a PhD student at UTEP with expected graduation in 2016.
Eric D. Smith is currently an Associate Professor at the University of Texas at El Paso (UTEP), a Minority Serving Institution (MSI) and a Hispanic Serving Institution (HSI), He works within the Industrial, Manufacturing and Systems Engineering (IMSE) Department, in particular with the Master of Science in Systems Engineering Program. He earned a B.S. in Physics in 1994, an M.S. in Systems Engineering in 2003, and his Ph.D. in Systems and Industrial Engineering in 2006 from the University of Arizona in Tucson, AZ. His dissertation research lay at the interface of systems engineering, cognitive science, and multi-criteria decision making. He earned his J.D. from Northwestern California University School of Law.
Lean manufacturing concepts have become more and more prevalent and important to understand and utilize for engineers in manufacturing and service industries. Many industrial organizations are mostly focused on increasing their process responsiveness and thereby creating a need for recruiting personnel with a good understanding of Lean engineering principles. Several courses are currently in place to increase the exposure on the application and practice of lean engineering principles. Though focused on teaching the same concepts, teaching methodologies being adopted span across several horizons. One of the most common hands-on simulation techniques for teaching Lean principles is observed to be the airplane assembly line simulation. Towards the effort of identifying an effective teaching methodology for imparting Lean Engineering principles, this paper intents to explore on if there is a significant difference of teaching Lean principles using hands-on simulation technique versus a computer aided simulation. The only difference among the methodologies explored are based on the fact that, one is based on a simulated hands-on assembly line, and the other on a computer aided simulation line using Arena software.
Tseng, T. B., & Akundi, A., & Saavedra, J. A., & Smith, E. D. (2016, June), A Comparative Study of Teaching Lean Manufacturing via Hands-On and Computer-Aided Simulation Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.26281
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