Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Venugopalan Kovaichelvan, TVS Institute for Quality and Leadership, TVS Motor Company Ltd.; Patrick A. Brunese, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering

• Co-creation of Design document – Learning outcomes, Design Content, Methodology, Schedules, Action learning projects • Project plan with milestones and schedule for joint reviews • Monthly review of progress by the Core team by WebEx • Development of content, duration, sequence by the Develop respective core team members • Design of assessment rubrics for assignment and projects • Identification of action learning projects and scope

Conference Session

Engineering Economy Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Brian Aufderheide, Hampton University; Otsebele E. Nare, Hampton University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

understand that only their imagination limits them to using this flexible toolto develop scenarios to test the worthiness of the design project. Stress over and over again thepurpose is not to make a Financial Operational Model to get a value for the Internal Rate of Return,Net Present Value, and Payback time in years. It is to develop scenarios to test the project’sviability, to see potential weaknesses that must be studied further before moving ahead with theproject, and to plan for success. And that is not all. A good Financial Operational Model is a livingdocument. Once the design is built and put in practice, it still has use. It can be modified todetermine upgrades to potential equipment, changes to feed stocks, issues with labor wages

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Lisa Bosman, Purdue University, West Lafayette; Aasakiran Madamanchi, Purdue University, West Lafayette; Scott R. Bartholomew, Purdue University, West Lafayette; Vetria L. Byrd, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering

approaches for data-guided decision-making in theirexisting business operations; a recent survey indicates that the majority (~85%) of large businessesare in the midst of AI implementation plans [20].Given the greater focus on AI to support decision making, there is a need for industrial engineeringstudents to be prepared to understand and use AI tools in a business context. Yet, at this stage,there is a dearth of educational resources on AI or related technologies that are tailored for thisstudent population [21]. Emerging programs to integrate AI education into industrial engineeringcurriculum include the development of Industry 4.0 themed labs, both physical [22, 23] and virtual[24]. To date, these efforts tend to be technology-focused with an

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida

Tagged Divisions

Industrial Engineering

training. Also, weexpected that through exposure and use of the divergent thinking methods during the courseproject, these effects would persist until the end of the course. Planned comparisons wereconducted between the pre-DTSD training, post-DTSD training, and end-of-course data usingpaired t-tests. In the summer semester, we found some evidence supporting these hypotheses. Wealso found a significant increase in CSE from pre-DTSD training and the end of the course,t(7)=5.33, p=.001, Δ=0.41. We found marginal evidence that CSE increased immediately after thetraining (i.e., pre-post comparison), t(7)=2.31, p=.054, Δ=0.24, and between the post-DTSDtraining and end-of-semester measurement point, t(7)=2.16, p=.068, Δ=0.17. For CPI, we foundmarginal

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Michelle M Alvarado, University of Florida; Katie Leanne Basinger, University of Florida; Diego Alvarado, University of Florida; Behshad Lahijanian , University of Florida

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

Flipped Classroom’The Journal of Information Systems Education, vol. 23, no. 1, pp. 7-11, 2013.[10] T. Koulopoulos and D. Keldsen, “Gen-Z effect: The six forces shaping the future of business.” Routledge, 2016.[11] J. Fromm and A. Read, “Marketing to Gen Z: The rules for reaching this vast, and very different, generation of influencers,” New York: AMACOM, 2018. [E-book] Available: https://www.worldcat.org/.[12] C. Seemiller and M. Grace, “Generation Z: A Century in the Making.” Routledge, 2018.[13] Institutional Planning and Research, “Enrollment and Demographics”, Feb. 2020. Accessed on Feb. 2020. [Online]. Available: https://ir.aa.ufl.edu/uffacts/enrollment-1/.

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University

Tagged Divisions

Industrial Engineering

usability.Second, instructors sometimes are hesitant to try and experiment with new approaches duringclass time, fearing that this time will be wasted and might impact how much material they willcover during the semester. The original plan of the experiment included the use of the VRlearning modules multiple times in the class throughout the semester, but due to the above-mentioned challenges, the authors implemented the experiment at the end of the semester. Theuse of any new technology in the classroom will face similar challenges. This is because somepeople’s innate nature is to avoid and resists change, even if the change will ultimately benefitthem and the learning process and outcomes (e.g., resistant to implementing computers in theclassroom

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Richard Zhao, Pennsylvania State University; Faisal Aqlan, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University; Ethan James Baxter, Pennsylvania State University

Tagged Divisions

Industrial Engineering

virtualenvironment of a factory with a series of workstations. They were able to interact with theenvironment using the controllers on each hand (Figure 13). Inside the VR simulation, there was a large factory room with a row of workstations, asshown in Figure 14. A user wearing a VR headset was able to see the virtual environment andother users in the virtual environment. Figure 15 shows what a user saw as the other three userswere working. Every user was shown in the simulation with body and hand tracking, meaning thata user could see where the other users were and what the other users were doing with their hands.While inside the simulation every user was represented with a male virtual character in a blackbody suit, in the future we are planning