Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Jakia Sultana, University of Texas, El Paso; Md Fashiar Rahman, University of Texas, El Paso; Christopher Colaw, Lockheed Martin; Tzu-liang Bill Tseng, University of Texas, El Paso

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

of LMA. Students explore the DMAIC model forquality improvement and become acquainted with vital Statistical Process Control tools, layingthe groundwork for understanding the significance of quality in product and processdevelopment. This foundational knowledge is crucial as it empowers students with the ability toinitiate quality enhancements—a skill of paramount importance in industries where productsafety and reliability are non-negotiable.2.2 Module 3: The Power of Lean and Six Sigma (Day 3-4)Lean Six Sigma methodologies are introduced, emphasizing their critical role in optimizingprocesses and reducing defects. Students learn to apply these principles in a laboratory setting,mirroring their relevance in real-world industries. Lean Six

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Md Abdullah, The University of Texas at Arlington; Gowtham Nageshwara rao, The University of Texas at Arlington; Faith Lauren Sowell, The University of Texas at Arlington; Vibhav Nirmal, The University of Texas at Arlington; Shuchisnigdha Deb, The University of Texas at Arlington

Tagged Divisions

Industrial Engineering Division (IND)

. Specializing in capacity analysis, simulation, and Lean methodologies, he optimizes production workflows and drives cost reduction initiatives with a focus on operational excellence. With a keen interest in AI applications, particularly in aiding production, operations, and manufacturing engineering.Faith Lauren Sowell, The University of Texas at Arlington Faith Lauren Sowell is an Undergraduate Student of Computer Engineering at the University of Texas at Arlington. She is the Lead Virtual Reality Developer for the Human Factors Laboratory. Her research interests include virtual reality as a training and teaching aide, and transportation research. She is expected to graduate in the fall of 2024.Vibhav Nirmal, The

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Israa Azzam, Purdue University, West Lafayette; Farid Breidi, Purdue University, West Lafayette; Faisal Aqlan, University of Louisville; Jose M Garcia, Purdue University; Paul Asunda, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering Division (IND)

disciplines has summoned researchersand educators to adopt interactive teaching techniques for reinforcing students’ spatial skills.Educators across different engineering fields have been exploring digital technologies, fromweb-based to immersive applications, to serve as spatial learning platforms, keeping pace withrapid technological advancements in education [16], [17].2.1 Web-Based Applications for Improving Spatial VisualizationSome researchers have been developing and incorporating digital interactive web-basedapplications into engineering laboratories to reinforce the students’ spatial abilities. For instance,a group of researchers developed an Interactive Learning Management System (ILMS) to beemployed as a web-based launch assistant learning

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-Sánchez, Tecnologico de Monterrey; Nicolás Amado-Moranchel, Tecnologico de Monterrey; Andres Esteban Acero, Tecnologico de Monterrey

Tagged Divisions

Industrial Engineering Division (IND)

improvementrate, nor to generate a deep impact into organization’ KPIs [2]. Therefore, it is crucial forengineering students to get involved in the complexities of interacting with people whenimplanting Lean, to correctly develop their skills in continuous improvement.However, a common limitation for students that are learning Lean Manufacturing is the lack ofexposure to real situations in which Lean is being implemented, such as practices in laboratories,participation in real-world experiences or access to available processes, where implementing leantools and measuring the impact on KPI’s is taking place [3].Attending this urgent need of students to participate in real life process, in Tecnologico deMonterrey, we have designed a course named “Design of

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Pelumi Olaitan Abiodun, Morgan State University; Vandana Pandey, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

, inquiry-driven techniques that promote curiosity and involvestudents as active participants in the learning process have been advocated in recent times [8],[9], [10], [11].Experiment-centric pedagogy (ECP), which combines traditional coursework with flexible, non-complex, hands-on activities and experiments, is one pedagogical strategy that induces aparadigm shift in learning whether in classrooms or laboratories, as well as educationaloutcomes. [12] define ECP as a practical, learner-centered teaching approach that uses affordableand portable devices to demonstrate STEM concepts. By giving learners’ the chance to engagedirectly with engineering phenomena, build knowledge via first-hand experience, and connecttheory to practice, these immersive

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2024 ASEE Annual Conference & Exposition

Authors

Priyadarshini Pennathur, University of Texas at El Paso; Arunkumar Pennathur, The University of Texas at El Paso; Amirmasoud Momenipour, Rose-Hulman Institute of Technology

Tagged Divisions

Industrial Engineering Division (IND)

Education. Dr. Pennathur’s research interests are in human factors engineering and engineering education. In particular, he has conducted research on functional limitations in activities of daily living in older adults. The National Institutes of Health, and the Paso del Norte Health Foundation have funded his research on older adults. The US Army Research Laboratory has funded Dr. Pennathur’s research on workload assessment. Dr. Pennathur has also been recently awarded two grants from the National Science Foundation in Engineering Education. In one of the grants, he is modeling how engineering faculty plan for their instruction. In a second grant, he is developing a model for institutional transformation in engineering

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Laura Thomason, Mansfield ISD/The University of Texas at Arlington; Victoria C. P. Chen, The University of Texas at Arlington; Erick C. Jones, The University of Texas at Arlington; Jay Michael Rosenberger, The University of Texas at Arlington; Jaivardhan Sood, The University of Texas at Arlington; Vishnu Sharma Kaipu Prabhakar Sharma, The University of Texas at Arlington; Soulmaz Rahman Mohammadpour, The University of Texas at Arlington; Rahsirearl Dominick Smalls, Everman ISD/The University of Texas at Arlington; Jocelyn Sigler M.Ed., The University of Texas at Arlington; James Hovey

Tagged Divisions

Industrial Engineering Division (IND)

expensive physical experimentation ofdifferent options, such as running laboratory experiments to study the effect of different chemicalcompounds or growing different varieties of crops in an agricultural setting. With the advent ofcomputers, many systems can be modeled computationally based on existing foundationalknowledge. Although some computer models are still considered computationally time-consuming, they can explore different options in settings that would not be possible in physicalexperiments. Examples include photochemical air quality simulations and vehicle crashsimulations. In the case of building design, there are existing computer models to help designersstudy the impact of their design without having to physically build it. For our