Conference Session

Engineering Economy Division Technical Session 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

James Burns, Purdue University, West Lafayette; Bob E. White P.E., Western Michigan University; Azim Houshyar, Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

incentivized the development of modules, lessons, or class projects that have a clearhumanities-based learning objective and have the potential to reach many students. The moduledescribed here was funded for development through an internal grant, and this paper presents asummary of the module’s content, the rationale for its approach, reflections on some of the keyassumptions of the rationale, and recommendations for others wanting to implement a similarly-styled ethics assignment.Most Engineering Economy instructors would probably agree that these courses are well-suitedfor reaching large numbers of students due to their cross-disciplinary nature and are also well-suited to discussing professional ethics because of their connection to the world of

Conference Session

Engineering Economics New Frontiers

Collection

2015 ASEE Annual Conference & Exposition

Authors

Simon Thomas Ghanat P.E., The Citadel; Kenneth Brannan, The Citadel; Ronald W. Welch, The Citadel; Kevin C Bower P.E., The Citadel

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

essential to incorporate teaching and learningmethods that adequately address the different learning styles in the classroom, and to developways to promote student motivation6 and engagement. As stated in the literature, engineeringstudents are predominantly active, visual, and sensing learner types 6- 9. However, most teachingmethods in engineering are geared toward reflective, verbal, and intuitive learner types6. This isthe exact opposite of the suggestions made from multiple learning style studies stated in theliterature 6-9. Teaching in engineering is generally more focused on theory, verbal, and passivelearning, as opposed to deductive learning supported by Felder as the preferred learning methodusing practical applications, visual

Conference Session

Engineering Economy Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State University Erie, The Behrend College; Joseph Wilck, United States Air Force Academy; Omar Ashour, Pennsylvania State University Erie, The Behrend College

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

startup businesses. The paper discusses theevolution of the student group from the engineering economy course and the work of theentrepreneurship consulting group that is receiving much attention from program advisory boardmembers, startup businesses, and university leadership.DisclaimerThe views expressed in this paper are those of the authors and do not necessarily reflect theofficial policy or position of the U.S. Air Force, the U.S. Department of Defense, or the U.S.Government.Introduction and MotivationCompany executives from Alcoa, ADT, and Armstrong among representatives from othercompanies that serve on the Industrial & Professional Advisory Council (IPAC) and a ServiceEnterprise Engineering Advisory Board (SEE) in Industrial

Conference Session

Engineering Economy Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Robert P. Leland, Oral Roberts University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

evaluating projected cash flows against a Minimum Attractive Rate of Return (MARR), we bring up the issue of whether profitable plants should be closed if their rate of return is not sufficient. Closing the plant would put hundreds of people out of work, and decimate the local economy.  A decision on whether to outsource a labor intensive activity to an overseas plant may need to account for qualitative factors such as local labor practices and how they might reflect on the company reputation, as occurred with NikeThese kinds of issues, that are quite real, require students to have an awareness of the biggerpicture, and a well developed value system.A number of approaches to improve the engineering economics course

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, Virginia Tech; John Ray Morelock, Virginia Tech; Arash Baghaei Lakeh, Virginia Tech

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

clear: students need access to information and encouragement to pursue thatinformation if they are to successfully detect and resolve discrepancies through adaptation anddecision-making.Points of ImprovementGame Assessment. We found that the weekly reports were helpful in familiarizing the gamemasters with teams’ decision-making processes, and would like to continue this form of serialassessment. However, the prompts for these weekly reports should be more specific, and shouldalign with the learning frameworks identified in our analysis. We propose that in each weeklyreport, teams should be asked to reflect on the following: (1) What discrepancies exist betweenexpected and actual results of the previous week, (2) what strategies led to the

Conference Session

Industrial Engineering Division Tech Session 2, IE-ing the Classroom

Collection

2017 ASEE Annual Conference & Exposition

Authors

Nadiye O. Erdil, University of New Haven

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

of actively andskillfully conceptualizing, applying, analyzing, synthesizing, and/or evaluating informationgathered from or generated by observation, experience, reflection, reasoning, or communication,as a guide to belief and action”.10 In this context, critical thinking targeted in this study is thestudents’ ability to gather information through various activities and connect and integrate thisinformation for use (as a guide to action) in a more complex assignment. The approach used issimilar to the one employed in Linder et. al. study in terms of assignment sequencing andbreaking up a larger assignment into smaller assignments. However, the smaller assignmentsused in this study are different in nature and type, and how they are connected

Conference Session

Engineering Economy Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

K. Jo Min, Iowa State University; John Jackman, Iowa State University; Michelle Zugg, Iowa State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

positively contributeto the education of engineering majors who will be making critical life-cycle decisions forprojects in the near future.Acknowledgment and DisclaimerThis material is based upon work supported by the National Science Foundation under Grant No.1504912. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation. We would like to thank the regular instructor and the teaching assistant, Dr. MikeHelwig and Mr. Fikri Kucuksayacigil, respectively, for their cooperation and contributions suchas accommodation, advice, and a decision-tree based guest lecture. We also would like to thankthe Department of Industrial

Conference Session

Engineering Economy Division Technical Session 3

Collection

2017 ASEE Annual Conference & Exposition

Authors

James D Burns, Purdue Univeristy; Bob E. White P.E., Western Michigan University

Tagged Topics

Diversity

Tagged Divisions

Engineering Economy

semester, we believe there is great value in students working with the two new subjects(Capital Budgeting and VBA) over time and within the same context (the simulation).Development work is distributed throughout the first two-thirds of the semester to create a senseof flow in relation to the topics of the course. After development, students use the remainder ofthe semester to examine peer-reviewed literature in order to find other methods for ranking andselecting projects, to design new or novel approaches to project selection, and to modify thesimulation model to better reflect real-world operating environments. Students then use thesimulation model to perform experiments and test hypotheses related to research objectives theydefine.Of course