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How to Design Lean Six Sigma Simulation Games for Online Learning

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Conference

2016 ASEE Annual Conference & Exposition

Location

New Orleans, Louisiana

Publication Date

June 26, 2016

Start Date

June 26, 2016

End Date

August 28, 2016

ISBN

978-0-692-68565-5

ISSN

2153-5965

Conference Session

Engineering Management: Six Sigma, Data Modeling, and Risk Management

Tagged Division

Engineering Management

Page Count

13

DOI

10.18260/p.25483

Permanent URL

https://peer.asee.org/25483

Download Count

4029

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Paper Authors

biography

Ertunga C Ozelkan University of North Carolina, Charlotte

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Ertunga C. Ozelkan, Ph.D., is Associate Professor of Systems Engineering & Engineering Management, and the Associate Director of the Center for Lean Logistics and Engineered Systems at the University of North Carolina at Charlotte. Before joining academia, Dr. Ozelkan worked for i2 Technologies, a leading supply chain software vendor and for Tefen USA, a systems design and industrial engineering consulting firm. Dr. Ozelkan holds a Ph.D. degree in Systems and Industrial Engineering from the University of Arizona. He teaches courses on supply chain management, lean systems, decision analysis, designed experimentation, and systems design and optimization. His current research interests include on the education side development of simulations and cases for active learning, and on the modeling side supply chains and logistics management, and production systems planning and optimization, and applications in different industries.

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Agnes Galambosi University of North Carolina at Charlotte

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Agnes Galambosi earned her PhD in Systems and Industrial Engineering from the University of Arizona in Tucson. She also holds two MS degrees: one in Systems Engineering from the University of Arizona in Tucson, one in Meteorology from Eotvos Lorand University in Budapest, Hungary. She is a Senior Lecturer now at the Department of Systems Engineering and Engineering Management at the University of North Carolina at Charlotte. Her research interests include a wide range of topics from educational games in college teaching to engineering management and optimization problems and applying systems methods to climate change modelling.

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Sandeep Krishnakumar

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Arun Kottayil

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Abstract

Simulation games have been widely used in classroom since they help mimic a real world operation or process in a controllable way. While SGs are widely applied in face-to-face settings, their availability for use in online learning environments is very limited. This is an important education issue since 33.5% (7.1 million) of all higher education students take at least one online course, which is believed to reach to 90% over the next 5 years, and increasing number of universities now experimenting with Massive Open Online Courses (MOOCs)[1].

The objectives of this paper are: 1) to identify the gap between face-to-face and online simulation games, 2) to identify key features of simulation games that enable making the learning process transformative, and 3) to develop a design-decision framework for online SGs that are as effective as their face-to-face counterparts. For these purposes, existing face-to-face and online SGs related to Lean Six Sigma are analyzed. Analytic Hierarchy Process (AHP), a multi-criteria decision making technique is applied to develop a new design-decision framework for designing educational online simulation games. Through the AHP methodology, prioritized design criteria are identified. The anticipated outcome is that the online simulation games will improve student learning through active and experiential learning. References:

[1] Allen and Seaman, 2014, “Grade Change: Tracking Online Education in the United States”, Babson Survey Research Group).

Ozelkan, E. C., & Galambosi, A., & Krishnakumar, S., & Kottayil, A. (2016, June), How to Design Lean Six Sigma Simulation Games for Online Learning Paper presented at 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana. 10.18260/p.25483

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