Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Thomas Aming'a Omwando, Simpson University; Bhavana Kotla, Purdue Polytechnic Graduate Programs; Adel Alhalawani, Rose-Hulman Institute of Technology; Lisa Bosman, Purdue University at West Lafayette (PPI); Ashutosh Khandha, University of Delaware

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Industrial Engineering Division (IND)

Paper ID #42820Incorporating an Entrepreneurial Mindset, Bio-Inspired Design, and STEAMApproach to Enhance Learning in a Computer Aided Design and ModelingClassDr. Thomas Aming’a Omwando, Simpson University Dr. Thomas Omwando holds a PhD in Industrial Engineering from the University of Wisconsin Milwaukee. He is an Assistant Professor and Director of Engineering program at Simpson University. His teaching interests are in statistical quality control, manufacturing processes, engineering/project management, engineering economy and production and operations analysis. His research interests are in sustainable manufacturing

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

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Industrial Engineering Division (IND)

Paper ID #42370Training Teachers to Employ Design and Analysis of Computer Experimentsfor Research on Sustainable Building DesignMrs. Laura Thomason, Mansfield ISD/The University of Texas at Arlington Long time middle school teacher who is still on a quest to continue in my personal education. I participated in the RET project with UTA last summer and while I learned so much, the experience allowed me to impact my classroom teaching. Currently, I teach at Jerry Knight STEM Academy in Mansfield, TX. I get to teach advanced 6th, 7th, and 8th graders in multiple STEM electives.Prof. Victoria C. P. Chen, The University of Texas

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Hugh L. McManus, Northeastern University; Erica Gralla

Tagged Divisions

Industrial Engineering Division (IND)

game: a virtual field trip through a complex system,” Syst.Dyn. Rev., vol. 36, pp. 223-238, 2020, doi: 10.1002/sdr.1650[5] K. Squire, “Video games in education,” International Journal of Intelligent Games &Simulation, vol. 2, pp 49-62, 2003.[6] T. M. Connolly, E. A. Boyle, E. MacArthur, T. Hainey, and J. M. Boyle, “A systematicliterature review of empirical evidence on computer games and serious games,” Computers &Education, vol. 59, no. 2, pp. 661-686, 2003, doi: doi.org/10.1016/j.compedu.2012.03.004.[7] C. Girard, J. Ecalle and A. Magnan, “Serious games as new educational tools: how effectiveare they? A meta-analysis of recent studies,” J. of Computer Assisted Learning, vol. 29, pp. 207-219. https://doi-org.ezproxy.neu.edu/10.1111/j

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Oladayo John Akinpelu; Oludayo Samuel Alamu, Morgan State University; Oludare Adegbola Owolabi P.E., Morgan State University; Neda Bazyar Shourabi, Pennsylvania State University, Berks Campus; Ayodeji B. Wemida; Mulugeta T Dugda, Morgan State University; Jumoke 'Kemi' Ladeji-Osias, Morgan State University; Pelumi Olaitan Abiodun, Morgan State University

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Industrial Engineering Division (IND)

‐Nicolás, A. Romeo, and J.J. Guerrero, “Active learning in robotics based onsimulation tools.” Computer Applications in Engineering Education, 22(3), 509-515. 2014.[8] S. Mackay and D. Fisher, “Practical Online Learning and Laboratories for Engineering”, 25Science and Technology, 2nd ed. West Perth, WA, Australia: IDC Technol., 2014[9] A. Aziz, and S.N. Islam, “Impact of Mixed Pedagogy on Engineering Education”. IEETransactions on Education, Education, IEEE Transactions on, IEEE Trans. Educ, PP(99), 1–8. https://doi-org.proxyms.researchport.umd.edu/10.1109/TE.2021.3088808, 2021[10] Western Governors University. “Five Educational Learning Theories”.https://www.wgu.edu/blog/five-educational-learning-theories2005.html, May 27, 2021[11] J.A. Weir

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

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Industrial Engineering Division (IND)

Paper ID #44266Optimizing Virtual Learning: Advanced Recommendations for an AI TeachingAssistantMr. Md Abdullah, The University of Texas at Arlington Md Abdullah is a PhD student of Industrial, Manufacturing and Systems Engineering department at the University of Texas at Arlington. His research interest are Human Factors, Safety, Augmented Reality, Virtual Reality.Mr. Gowtham Nageshwara rao, The University of Texas at Arlington Gowtham Nageshwara Rao is an industrial engineer at Spirit Aerosystems in Wichita, having graduated with a master’s in engineering management from the University of Texas at Arlington

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2023 ASEE Annual Conference & Exposition

Authors

Gibrán Sayeg-Sánchez, Tecnologico de Monterrey (ITESM); Miguel X. Rodriguez-Paz, Tecnologico de Monterrey

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Industrial Engineering Division (IND)

Yvariables and infer about potential variation sources.The GLS was located in the Learning Management System (LMS) of the University, allowingthe student to access it directly on their personal computers. It was assigned as a mandatoryactivity of the course and had to be done asynchronously, within a one-week time framework.The structure of the GLS consisted in 23 elements categorized as Contextualization elements,Demonstration elements, or Evaluation elements. As shown in Figure 1, these three types ofelements iterated to provide dynamic feedback to the student.Contextualization elements provided the student information about a real – life inspired problem.Within this study, the problem was based on a cardboard boxes factory, which presented

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Emma S Atherton, University of Florida; Elif Akcali, University of Florida

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Diversity

Tagged Divisions

Industrial Engineering Division (IND)

, extrinsic motivation, mathematical modeling.IntroductionThe exploration of creativity and the interworking of human creativity through a research lensbegan in the eighteenth- or the nineteenth century, and scientific research of creativity hasaccelerated since the middle of the twentieth century [1, 2]. To date, the exploration of creativityin an educational environment, and the limitations of teaching, learning, practicing, and assessingcreativity in such settings, have not been adequately assessed or understood, but the relationshipis beginning to be conceptualized in various ways [3].As an attempt to incorporate creativity training into engineering education and to enhance thecreative thinking skills in undergraduate engineering students, poetry

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Enas Aref, Western Michigan University

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Industrial Engineering Division (IND)

Paper ID #42497Team Dynamics And Conflict Resolution: Integrating Generative AI in Project-BasedLearning to Support Student PerformanceEnas Aref, Western Michigan University Enas Aref is a Ph.D. Candidate in the Industrial Engineering Program at Western Michigan University. Ms. Aref is a researcher and a doctoral instructor assistant in the Industrial and Entrepreneurial Engineering and Engineering Management Department at Western Michigan University ©American Society for Engineering Education, 2024 Team Dynamics And Conflict Resolution: Integrating Gen AI in Project Based Learning to

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

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Industrial Engineering Division (IND)

. They believe that they are more active, cankeep their attention better and enjoy the experience of relevant situations in a virtual environment[19]. The immersive nature of virtual reality captures students' attention and motivates them toactively participate in the learning process.When referring to Lean training and education, simulators are often used. These can take theform of desktop games, computer simulations, or full-scale simulators [20]. The advancement ofvirtual reality (VR) technology has created new opportunities beyond the realm of video games[21]. Some innovations rely in platforms for creating simulation environments using VR andartificial intelligence (AI) techniques. The combination of VR and AI enables the developmentof

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

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Diversity

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Industrial Engineering Division (IND)

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.Christopher Colaw, Lockheed MartinProf. Tzu-liang Bill Tseng, University of Texas, El Paso Dr. Bill Tseng is a Professor and Chair of the Department of

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Mahesh Kumar Pallikonda, Austin Peay State University; Hossain Ahmed, Austin Peay State University; Md. Ali Haider, Austin Peay State University; Ravi C Manimaran, Austin Peay State University

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Industrial Engineering Division (IND)

Haider is an Assistant Professor at Austin Peay State University, serving as the Electronics and Electrical Engineering Technology concentration coordinator. His research interests include Biomedical Signal Processing, Brain-computer interface, Image processing, Artificial Intelligence, Machine Learning, and the Internet of Things (IoT). Dr. Haider has authored multiple publications on signal and image processing and serves as a reviewer for several international conferences and peer-reviewed journals, including IEEE WF-IoT, IEEE EIT, IEEE Signal Processing Letters, Journal of Signal Processing Systems, and Remote Sensing of Environment.Prof. Ravi C Manimaran, Austin Peay State University Ravi C Manimaran is a

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Eric Specking, University of Arkansas; Shengfan Zhang, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering Division (IND)

learning. One participant stated when answering the need question, “Mycurrent needs include implementing research and connecting activities to real lifeexperiences…students get to 9th grade and still struggle to use and read graphs…love to findnew and exciting ways to collect, analyze, and interpret data.”Applicants used words, such as “learn”, “expect”, “profession”, “understand, and “hope” whendescribing their expectations. Many applicants discussed creating relationships with otherteachers and developing new skills. One applicant said, “Not only would this give me a chance tocontinue my learning about the field that I'm passionate about, but it allows me to learn about themany careers paths that require a science/math/computer science

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

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Diversity

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Industrial Engineering Division (IND)

intention. Focused on players’ switching costs and epistemic curiosity,” Computers in Human Behavior, vol. 77, pp. 32–46, 2017.[20] Y. Cui, J.-C. Hong, C.-R. Tsai, and J.-H. Ye, “How does hands-on making attitude predict epistemic curiosity and science, technology, engineering, and mathematics career interests? Evidence from an international exhibition of young inventors,” Frontiers in Psychology, vol. 13, p. 859179, 2022.[21] E. Sulistiani, S. Waluya, and others, “The analysis of student’s critical thinking ability on discovery learning by using hand on activity based on curiosity,” in Journal of Physics: Conference Series, IOP Publishing, 2018, p. 012134.[22] J. A. Litman and C. D. Spielberger, “Measuring Epistemic

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

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Industrial Engineering Division (IND)

(hydraulic systems) research and instruction, additive manufacturing and smart manufacturing using Industrial Internet of Things technologies. Garcia-Bravo received his B.Sc. in Mechanical Engineering from Universidad de Los Andes, Bogota in 2002, His M.Sc. in 2006 and Ph.D. in 2011 from Purdue University.Paul Asunda, Purdue University, West Lafayette Paul A. Asunda is an Associate professor of Engineering and Technology Teacher Education. He holds a joint appointment in the College of Education and Purdue Polytechnic Institute. His research interests focus on the changing nature of work and learning with respect to supporting integration of engineering design and computational thinking practices in integrated STEM

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Khalid Bello, University of Louisville; Faisal Aqlan, University of Louisville; Danielle Wood, University of Notre Dame

Tagged Divisions

Industrial Engineering Division (IND)

). Implementation of stable marriage algorithm in student project allocation. Asian Journal of Research in Computer Science, 1(4), 1-9.Paunović, V., Tomić, S., Bosnić, I., & Žagar, M. (2019). Fuzzy approach to student-project allocation (spa) problem. IEEE access, 7, 136046-136061.Perry, N. E., Turner, J. C., & Meyer, D. K. (2006). Classrooms as contexts for motivating learning. Handbook of educational psychology, 2, 327-348.Ramotsisi, J., Kgomotso, M., & Seboni, L. (2022). An Optimization Model for the Student-to- Project Supervisor Assignment Problem-The Case of an Engineering Department. Journal of Optimization, 2022.Robinson, C. (2012). Student engagement: What does this mean in practice in the context of

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

David Parsley, University of Kentucky

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Industrial Engineering Division (IND)

, Ernest T. Goetz, Lauren Cifuentes, Wendy Keeney-Kennicutt, and Trina J. Davis. "Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis." Computers & education 70 (2014): 29-40. 13. Chen, Chwen Jen, Seong Chong Toh, and Wan Mohd Fauzy Wan Ismail. "Are learning styles relevant to virtual reality?." Journal of research on technology in education 38, no. 2 (2005): 123- 141. 14. Amer, Ahmed, and Phillip Peralez. "Affordable altered perspectives: Making augmented and virtual reality technology accessible." In IEEE global humanitarian technology conference (GHTC 2014), pp. 603-608. IEEE, 2014. 15. Martín-Gutiérrez, Jorge, Carlos Efrén

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ebisa Wollega, Colorado State University, Pueblo; Melissa Braddock; Lisa Bosman, Purdue University, West Lafayette

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Industrial Engineering Division (IND)

] Kira, K., & Rendell, L. A. (1992). A practical approach to feature selection. In Machinelearning proceedings 1992 (pp. 249-256). Morgan Kaufmann.[4] Jabbar, H., & Khan, R. Z. (2015). Methods to avoid over-fitting and under-fitting insupervised machine learning (comparative study). Computer Science, Communication andInstrumentation Devices, 70(10.3850), 978-981.[5] Siau, K., & Wang, W. (2020). Artificial intelligence (AI) ethics: ethics of AI and ethicalAI. Journal of Database Management (JDM), 31(2), 74-87.[6] Hagerty, A., & Rubinov, I. (2019). Global AI ethics: a review of the social impacts andethical implications of artificial intelligence. arXiv preprint arXiv:1907.07892.[7] Jobin, A., Ienca, M., & Vayena, E. (2019

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2024 ASEE Annual Conference & Exposition

Authors

Eric John Estadt, Pennsylvania State University; Khoa Nguyen, Pennsylvania State University; Kevin Skinner, Pennsylvania State University; Ashkan Negahban, Pennsylvania State University; Omar Ashour, Pennsylvania State University; Sabahattin Gokhan Ozden, Pennsylvania State University

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Industrial Engineering Division (IND)

2019. [Online]. Available: https://developer.chrome.com/blog/new-in-chrome-79[17] A. Bangor, P. T. Kortum, and J. T. Miller, “An Empirical Evaluation of the System Usability Scale,” Intl. Journal of Human–Computer Interaction, vol. 24, no. 6, pp. 574–594, 8 2008.[18] M. Nowparvar, X. Chen, O. Ashour, S. G. Ozden, and A. Negahban, “Combining immersive technologies and problem-based learning in engineering education: Bibliometric analysis and literature review,” in Proceedings of the ASEE Annual Conference and Exposition, 2021.[19] A. Negahban, “Simulation in engineering education: The transition from physical experimentation to digital immersive simulated environments,” SIMULATION, vol. 100, 2024.

Conference Session

Industrial Engineering Division (IND) Technical Session 4

Collection

2023 ASEE Annual Conference & Exposition

Authors

Laura Visintainer Lerman; Italo Rodeghiero Neto, Universidade Federal Do Rio Grande Do Sul; Joana Siqueira de Souza, Universidade Federal Do Rio Grande Do Sul; Maria Auxiliadora Cannarozzo Tinoco, Universidade Federal Do Rio Grande Do Sul

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Industrial Engineering Division (IND)

students. Theuniversity's main strengths are creating different classrooms encouraging teamwork andcommunication. The university's classrooms have a modern design and the possibility ofadaptation, always seeking student interaction and their best comfort. In auditorium-styleclassrooms, projectors, blackboards and computers were observed for professor use. Themobility of some auditorium chairs can rotate 360°. This allows group activities to be doneduring classes, not being a fixed structure for just traditional engineering classes in theauditorium. That is, even in courses with many students, it is possible to conduct work andgroup discussions. Active Learning Classrooms are designed for collaborative and group-based activities. These are arranged

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

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Industrial Engineering Division (IND)

business planning. Wediscuss strategies for incorporating the appropriate blend of pedagogical practices intoengineering courses to make learning and preparing for the future of work a fun, enjoyable, andeffective engineering educational pursuit for students.In the following sections, we provide a brief description of the three courses, pedagogies, andactivities used in these courses, and then discuss the implications of courses such as these toprepare students to flourish in future work systems.2. Future of Work Courses and Learning Methods2.1 Future of Work Course Teaching Method and Pedagogies:This graduate course examines the future of work systems. Future work systems will integratesignificant technology and automation including Artificial

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Megan Hammond, University of Indianapolis; Joan Martinez, University of Indianapolis; Joseph B. Herzog, University of Indianapolis

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Diversity

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Industrial Engineering Division (IND)

-optics, including plasmonics, nanofabrication, computational modeling, photonic crystals, and engineering education. ©American Society for Engineering Education, 2023 Work in Progress: An optimization model for assigning students to multidisciplinary teams by considering preferences and skillsAbstractProject-based learning has become popular and prevalent across higher education. Additionally,the Accrediting Board for Engineering and Technology also emphasizes the ability to function inmultidisciplinary teams. These educational practices have resulted in the implementation ofteam-based projects throughout engineering curriculums. Team formation, however, is not atrivial process and occasionally

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ekaterina Koromyslova, South Dakota State University; Carrie Steinlicht, South Dakota State University; Miriam Kanini Peter

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Industrial Engineering Division (IND)

teaching strategies, inductive teaching and learning, interdisciplinary teamwork, and development of students’ professional skills.Ms. Carrie Steinlicht, South Dakota State University Dr. Carrie Steinlicht is an Senior Lecturer of Operations Management. She has directed many Capstone projects with Industry partners for students in Manufacturing Engineering Technology and Operations Management. She has several years of industry experience and has consulted with multiple companies specializing in process efficiency, process design, process improvement, materials analysis, and metal- lurgy.Miriam Kanini Peter ©American Society for Engineering Education, 2023 Closing the professional skills gap

Conference Session

Industrial Engineering Division (IND) Technical Session 1

Collection

2024 ASEE Annual Conference & Exposition

Authors

Corey Kiassat, PhD, MBA, PE, Quinnipiac University

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Industrial Engineering Division (IND)

an annual Sustainability Report communicates progresswithin the community. QU has garnered recognition for its sustainability endeavors, aligningwell with its strategic plan's third pillar: "Nurture and positively impact internal, local, and globalcommunities." This emphasis on community engagement harmonizes with QU's growingcommitment to industry partnerships with regional companies, extending to its academic units.SCE, a hub for engineering and computing programs, places a strong emphasis on practical,hands-on education. Collaborative ventures with industry partners are integral, fostering real-world learning experiences and often providing financial support. Additionally, SCE placessignificance on multidisciplinary work and is actively

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Kingsley A. Reeves Jr., University of South Florida; Ana Carolina Leo, University of South Florida; Jeremi S. London, Virginia Polytechnic Institute and State University; Julia Machele Brisbane, Virginia Polytechnic Institute and State University; Natalia Torres Banks

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Industrial Engineering Division (IND)

as energy, as fundamental to human life as clean water, andas intimate as personalized learning [2]. Each of these challenges is complex, requiresinterdisciplinary expertise, and is filled with elements of uncertainty. In many ways, they exhibitthe quintessential characteristics of what most designers call a “wicked problem”—problemsinvolving multiple stakeholders with conflicting priorities, incomplete information that is onlyclarified by beginning to solve it, and that result in solutions that are deemed better or worserather than right or wrong [3]. Though varied in nature, there is at least one thing that unifiesthese problems and another that unifies the people that solve them. Data is what unifies theseproblems: no matter the problem

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Bopaya Bidanda, University of Pittsburgh; Gajanan Hegde

Tagged Divisions

Industrial Engineering Division (IND)

mechanical andindustrial engineering programs provide coursework in Computer Aided Design or Finite ElementAnalysis. These tools are especially useful and applicable after a design is conceptualized and theprimary challenge is to develop a detailed design. In detailing stages of design thinking, the fivecommonly established steps [1,2] are to 1. Empathize, 2. Define, 3. Ideate, 4. Prototype, and 5. Test.Most work and papers on these topics focus on what needs to be done at each design stage. Wepropose a frugal engineering framework with a well-established Value Analysis technique as a core toteaching a structured methodology on how to transform a conceptual idea into a more detailed design.In order to prevent the

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2024 ASEE Annual Conference & Exposition

Authors

Sima Parisay, California State Polytechnic University, Pomona

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Industrial Engineering Division (IND)

Paper ID #43259Improving Verification Skills for a Discrete-Event Simulation ModelDr. Sima Parisay, California State Polytechnic University, Pomona Dr. Sima Parisay is an Emeritus Professor from the Industrial and Manufacturing Engineering Department at California State Polytechnic University, Pomona, CA. In recent years, she has been a part-time lecturer in the Industrial and System Engineering Department at University of Southern California, Los Angeles, CA. She has 28 years of teaching experience, including creating pedagogical tools to improve the learning process and critical thinking in engineering topics. She is

Conference Session

Industrial Engineering Division (IND) Poster Session

Collection

2023 ASEE Annual Conference & Exposition

Authors

Arunkumar Pennathur, The University of Texas at El Paso; Priyadarshini Pennathur, University of Texas at El Paso; Emily Blosser, University of Louisiana Lafayette; Nicholas A Bowman, University of Iowa

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Diversity

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Industrial Engineering Division (IND)

characteristics of sociotechnicalsystems include responsible autonomy of the stakeholders involved, adaptability to changingexternal conditions, and aligning the performance of systems to meaningful goals and tasks.Sociotechnical systems approach has been used to understand many research problems[6]including in knowledge management[7], organizational learning[8]–[10], learning andteaching[11]–[13], innovation[14], process improvement in higher education[11], [15], and automanufacturing[16] to name a few. In this study, we use the sociotechnical systems methodologydeveloped by Taylor and Felton[1] to guide the development of our SEISS framework and tointegrate tools for technical and social system analysis for capacity assessment.2.1 SEISS Framework and

Conference Session

Industrial Engineering Division (IND) Technical Session 2

Collection

2023 ASEE Annual Conference & Exposition

Authors

Elif Akcali, University of Florida; Saron Getachew Belay; Elayne Colón, University of Florida; Jade Williams

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Industrial Engineering Division (IND)

degree in Industrial and Systems Engineering and a minor in Sales Engineering.Elayne Col´on, University of Florida Dr. Elayne Col´on is a Clinical Professor and Interim Associate Dean for Academic and Student Affairs in the College of Education at the University of Florida. With a background in school psychology, her scholarly interests include accountability and accreditation, the preparation of educators for P-12 settings, and the ways in which we measure learning and impact in higher education.Jade Williams Dr. Williams is a faculty member in the Department of Communication in Chandler-Gilbert Community College. She has an active research program employing qualitative and arts-based methods to investigate

Conference Session

Industrial Engineering Division (IND) Technical Session 3

Collection

2023 ASEE Annual Conference & Exposition

Authors

Susan J. Ely, University of Southern Indiana

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Industrial Engineering Division (IND)

orimmunocompromising health conditions and pregnancy), as well as levels of experience inworking within the COVID treatment area. Experience was important due to the often-changingprotocols, as the hospital adjusted policies as more was learned about the virus. This too was notunique, but typical of all emergency departments around the world, as guidance from the CDCand other health organizations evolved over time [10].For the four-room assignments, presented in Table 4, special protocols and changing policieswere not a factor, nor was preexisting health concerns. However, the four-room assignmentswere even more dramatic in the levels of consistency of personnel allocation. The charge nursesexplained that these assignments often correlated to levels of