Conference Session

Engineering Economy Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Dan Cernusca, North Dakota State University

Tagged Divisions

Engineering Economy

serves as an eMentor for the University of Missouri System and earned a Faculty Achievement Award for teaching.Dr. Dan Cernusca, North Dakota State University Dr. Dan Cernusca is an Assistant Professor of Practice/ Instructional Designer with the North Dakota State University, College of Health Professions. He received his Ph.D. degree in Information Science and Learning Technologies in 2007 from University of Missouri – Columbia. He also holds a BS and a Ph.D. from the University of Sibiu in Romania with a specialization in manufacturing technologies and respectively cutting-tools design. His research interests include design-based research in technology- enabled learning contexts, technology-mediated problem solving

Conference Session

Using a Real-Options Analysis Tutorial in Teaching Undergraduate Students

Collection

2016 ASEE Annual Conference & Exposition

Authors

John A. White Jr., University of Arkansas

Tagged Divisions

Engineering Economy

elective for industrial engineering majors andis occasionally taken by graduate students. The prerequisite for AdvEngEcon is EngEcon. As such,several students are juniors, but the majority are seniors.As taught for many years, AdvEngEcon typically began with a review of material covered inEngEcon: annual worth, future worth, present worth, and rate of return methods of comparingmutually exclusive investment alternatives, after-tax comparison of investment alternatives underinflationary conditions; and replacement analysis. Additional material in AdvEngEcon included: costestimation; capital planning and budgeting; break-even, sensitivity, and risk analysis; decisionanalysis; analytic hierarchy process; and real options. The textbook adopted for the

Conference Session

Engineering Economy Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Jerome P. Lavelle, North Carolina State University

Tagged Divisions

Engineering Economy

of EC200 and today’s self study report is much the same as originally conceived. Improvements in technology and what we know about how data is collected, used and reported by programs offers improvements for both faculty and evaluators. As data is collected, ABET has an opportunity to develop means for sharing both descriptive and evaluative data to the broader engineering higher education community. If accessible this data can provide important benchmarking and best practices guideposts, and improve the learning environments of tomorrow’s engineering graduates.  A Pilot Case with Industrial Engineering and Engineering Economy Data To illustrate the proposed mode and potential impact on the SSR, self study reports

Conference Session

Engineering Economy Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State University Erie, The Behrend College; James F. Kimpel, University of Pittsburgh; Karen M. Bursic, University of Pittsburgh

Tagged Divisions

Engineering Economy

by theCenter for SCM in collaboration with the Engineering School and run primarily by the studentsthemselves, where engineering and business students collaborate to analyze the data presented ina SCM focused case study, and then propose actions that resolve the case in a manner thatbalances delivery, quality, cost, and flexibility. Cases are chosen that require both engineeringexpertise and business acumen to successfully analyze their data and synthesizerecommendations. The 2015 case focused on the impact of 3D Printing (additive manufacturing)on SCM in China; integrating theory and practice through experience-based learning,collaboration, innovation, and globalization.Figure 1: Logo for the Race to the Case Competition Developed and