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Empowering Quality Excellence: A 10-Day Quality Engineering Boot Camp for Accelerated Learning

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Conference

2024 ASEE Annual Conference & Exposition

Location

Portland, Oregon

Publication Date

June 23, 2024

Start Date

June 23, 2024

End Date

July 12, 2024

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Tagged Division

Industrial Engineering Division (IND)

Tagged Topic

Diversity

Permanent URL

https://peer.asee.org/47249

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Paper Authors

biography

Jakia Sultana University of Texas, El Paso

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Jakia Sultana, currently a Ph.D. candidate in Teaching, Learning, and Culture with a focus on STEM education, is also serving as a Research Associate dedicated to enhancing the educational journey of minority students in engineering fields. Her research is centered on developing and integrating effective methodologies within engineering education to improve teaching and learning practices, particularly for minorities. By identifying and implementing innovative strategies, she aims to seamlessly incorporate engineering education into curricula, thus elevating the academic experience for minority students in diverse settings. Jakia's work is characterized by a unique blend of passion and insight, drawing from her academic and research background to enrich the engineering education discourse. Her commitment lies in pushing the boundaries of traditional education to foster a more inclusive and understanding environment for minority students in engineering disciplines across U.S. universities.

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Md Fashiar Rahman University of Texas, El Paso Orcid 16x16 orcid.org/0000-0002-0437-2587

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Dr. Md Fashiar Rahman is an Assistant Professor of the Industrial, Manufacturing and Systems Engineering (IMSE) Department at The University of Texas at El Paso. He holds a Ph.D. degree in Computational Science Program. He has years of research experience in different projects in the field of image data mining, machine learning, deep learning, and computer simulation for industrial and healthcare applications. In addition, Dr. Rahman has taught various engineering courses in industrial and manufacturing engineering. His research area covers advanced quality technology, AI application in smart manufacturing, health care applications, computational intelligence/data analytics, and decision support systems.

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Christopher Colaw Lockheed Martin

biography

Tzu-liang Bill Tseng University of Texas, El Paso

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Dr. Bill Tseng is a Professor and Chair of the Department of Industrial, Manufacturing, and Systems Engineering (IMSE) at UTEP. He is also a Director of the Research Institute for Manufacturing & Engineering Systems (RIMES), the Texas Manufacturing Assistance Center (TMAC) host institute at UTEP. He received his two MSIE degrees (MFG & DS/OR) from the University of Wisconsin at Madison and a Ph.D. in Industrial Engineering from the University of Iowa. Dr. Tseng is also a Certified Manufacturing Engineer from the Society of Manufacturing Engineers. Dr. Tseng’s research area covers artificial intelligence (AI), data analytics, advanced quality engineering technology, additive manufacturing, and systems engineering. Over the years, he has served more than 11 million dollars as a principal investigator sponsored by NSF, DOE, NIST, USDT, DoEd, KSEF, and industries like LMCO, Honeywell, GM, and Tyco Inc. Dr. Tseng delivered research results to many refereed journals such as IEEE Transactions, IIE Transactions, International Journal of Production Research, Journal of Manufacturing Systems, Expert Systems with Applications and other conferences (117 refereed journal articles and 193 refereed conference proceedings). He is currently serving as an editor of the Journal of Computer Standards & Interfaces (CSI), an associate editor of the Asia Pacific Management Review (APMR), and an editor on boards of the International Journal of Data Mining, Modeling and Management (JDMMM) and the American Journal of Industrial and Business Management (AJIBM). He is currently a senior member of the Institute of Industrial Engineers and Society of Manufacturing Engineers and a former chair of the Manufacturing Engineering Division of the American Society of Engineering Education (ASEE). He is also actively involved in several consortia activities.

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Abstract

Cultivating quality engineering expertise is paramount in today's dynamic and competitive landscape. Hence, The University of Texas at El Paso and Lockheed Martin Aeronautics present a joint 10-day in-person Quality Engineering Boot Camp designed to immerse students in hands-on experiences, equipping them with the fundamental tools and methodologies for achieving quality engineering excellence. Our comprehensive curriculum offers students numerous opportunities to explore both theoretical and applied (aerospace industries) aspects of quality concepts, in particular, statistical process control and quality tools, gauge R&R, process capability analysis, lean Six Sigma, Digital Twin (DT) Assisted Non-Destructive Testing and more. All these lessons are designed for interactive in-class activities where students use representative samples, apply quality tools, and observe results in Minitab and Excel software. As such, participants gain profound insights into these tools, preparing them to excel as quality engineers. This paper describes how the hands-on activities embedded within the Boot Camp play a pivotal role in shaping the students' learning experience. Pre- and post-surveys enable us to gauge knowledge growth and the confidence to apply quality engineering principles. In a constantly evolving industrial landscape, this Quality Engineering Boot Camp could be an ideal setting to empower participants with the skills and knowledge needed to excel as quality experts.

Sultana, J., & Rahman, M. F., & Colaw, C., & Tseng, T. B. (2024, June), Empowering Quality Excellence: A 10-Day Quality Engineering Boot Camp for Accelerated Learning Paper presented at 2024 ASEE Annual Conference & Exposition, Portland, Oregon. https://peer.asee.org/47249

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