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- Engineering Economy Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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Brian Aufderheide, Hampton University; Otsebele E. Nare, Hampton University
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Diversity
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Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering
Engineering Disciplines Brian Aufderheide1, Otsebele E. Nare1 1 Hampton University, USAAbstractThis is a Work in Progress. Students are taught how to model, write, and solve engineeringequations as part of their typical curriculum. But what is not covered is how to meld theengineering design world with the economic domain needed to be successful in industry. Oneauthor has supervised over 35 industrial design projects, and through his experience found thatwhat industry values most is a detailed Financial Operational Model with clear design andeconomic parameters evaluated through sensitivity analysis. At Hampton University
- Conference Session
- Industrial Engineering Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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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
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Industrial Engineering
ByrdIntroductionThe U.S. Congress defines big data as “large volumes of high velocity, complex, and variable datathat require advanced techniques and technologies to enable the capture, storage, distribution,management and analysis of the information” [1]. Big data and data analytics have the potential tolower costs, improve quality of life, and even save lives by understanding and learning patternsand trends in the recent uptick of incoming data [2]. In response, data science solutions are beingincreasingly deployed in the business world [3], and the growth of publicly accessible dataprovides a significant opportunity to transform educational efforts related to data science [4].Indeed, today’s college graduates are expected to have skills in modeling
- Conference Session
- Industrial Engineering Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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James Burns, Western Michigan University; Enas Aref, Western Michigan University; Mohammad Majd, Western Michigan University
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Industrial Engineering
-disciplinary engineering statistics course ata large, regional university. The introductory statistics course is offered through the IndustrialEngineering department and serves approximately 25% of the college’s undergraduate studentpopulation. The lab-based course is comprised of multiple lecture (2 credit hours, ~100 students)and lab sections (3 contact hours, ~25 students). Lecture sections are taught by faculty and focuson concepts, theory, and application. Lab sections are taught by graduate teaching assistants andfocus on reinforcing lecture content and applying concepts with software. The objectives of thework are to: 1) develop a methodology to determine factors that contribute to variation inclassroom performance such as students’ major and
- Conference Session
- Industrial Engineering Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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Venugopalan Kovaichelvan, TVS Institute for Quality and Leadership, TVS Motor Company Ltd.; Patrick A. Brunese, Purdue University, West Lafayette
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Industrial Engineering
taking on more projects aftertheir certification, and increased collaboration in problem solving with othermembers of the community. In addition, the relevance and impact of the projectswas highly visible to the company’s leadership team, who have since begunleveraging the community. Based on the experience, the company has identifiedten domains of strategic priority where similar CoPs can be created.1. IntroductionCompanies today work assiduously to capitalize on an increasingly knowledge-intensiveeconomy [1]. Numerous organizational forms, such as cross-functional teams, customer/product-focused business units and work groups are used to capture and spread ideas and accumulatedknowledge [2]. A critical constraint with these approaches is the
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- Engineering Economy Division Technical Session 1
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- 2020 ASEE Virtual Annual Conference Content Access
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Bradley James Schmid, University of Saskatchewan
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Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering
the explanations and example problems used in the textbook.IntroductionEngineering programs in Canada and the United states have similar accreditation processes andcriteria [1], [2]. ABET accredits programs in the United States while the Canadian EngineeringAccreditation Board (CEAB) accredits programs in Canada. In each system, the ability of astudent to consider the constraints of economics and incorporate economics into engineeringdesigns, projects and considerations is a requirement. As such, engineering programs must offerEngineering Economics in their programs and often fulfill this requirement with a coursededicated to this topic though it could be fulfilled in other courses such as design courses.As part an internal improvement study
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- Industrial Engineering Division Technical Session 1
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Elif Akcali, University of Florida; Wayne C.W. Giang, University of Florida; McKenzie Landrum, University of Florida
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Industrial Engineering
course in industrial and systems engineering. DTSDcurriculum includes a series of idea generation exercises that the students completed individuallyor in teams. In each divergent thinking exercise, students were asked to generate multiple ideas fora given “problem” under a strict time constraint. After each exercise, a facilitated reflection sessionallowed for students to learn the idea generation approaches that were used by their peers. Weexamined the effectiveness of the DTSD module using two measures: (1) changes in self-perceptions of creative ability and mindsets and (2) reflections on the influence of DTSD training.Questionnaires containing the Short Scale of Creative Self and Creative and Fixed Mindsetmeasures were administered before
- Conference Session
- Industrial Engineering Division Technical Session 2
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Christian Enmanuel Lopez, Lafayette College; Omar Ashour, Pennsylvania State University; James Devin Cunningham; Conrad Tucker, Carnegie Mellon University; Paul C. Lynch, Pennsylvania State University
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Industrial Engineering
apositive impact on the students’ motivation, engineering identity, and knowledge gain over thelong run and when used across the curriculum. Moreover, IE instructors interested in providingan immersive and integrative learning experience to their students could leverage the VRlearning modules developed for this project.1. IntroductionLike the majority of engineering curricula, the structure of the Industrial Engineering (IE)curriculum consists of a set of courses that are ordered in a sequence such that later courses buildupon the knowledge learned in the earlier courses, with each course usually being taught by adifferent instructor 1. This traditional course-centric curriculum structure has limited ability toestablish the connection between
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- Industrial Engineering Division Technical Session 2
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- 2020 ASEE Virtual Annual Conference Content Access
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Richard Zhao, Pennsylvania State University; Faisal Aqlan, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University; Ethan James Baxter, Pennsylvania State University
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Industrial Engineering
games formanufacturing simulation. First, we create and validate a hands-on activity that engages groups ofstudents in the design and assembly of toy cars. Then, a corresponding multiplayer VR game isdeveloped, which allows for the collaboration of multiple VR users in the same virtualenvironment. With a VR headset and proper infrastructure, a user can participate in a simulationgame from any location. This paper explores whether multiplayer VR simulations could be usedas an alternative to physical simulations.1. BackgroundFor many engineers, familiarity with the different manufacturing processes is critical. However,while engineering students are learning the technical skills and theories in classes, the opportunityto practice these skills is
- Conference Session
- Industrial Engineering Division Technical Session 2
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- 2020 ASEE Virtual Annual Conference Content Access
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Michelle M Alvarado, University of Florida; Katie Leanne Basinger, University of Florida; Diego Alvarado, University of Florida; Behshad Lahijanian , University of Florida
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Diversity
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Industrial Engineering
was converted to a flipped classroom environment for half of the course material. The mainobjective of this research pilot project is to investigate the impact of video length and videoactivities on the retention and understanding of Gen-Z engineering students for a software-basedsimulation course. Results show that students are more likely to watch medium-length videos thanshort-length videos, but those who do watch short-length videos have better learning outcomes.KeywordsGeneration Z, flipped classroom, engineering education, video length1. IntroductionThe engineering students today are from Generation Z, the cohort of individuals born from 1996-2010 [1]. They are high-efficiency multi-taskers with 8-second attention spans, typically