Conference Session

Industrial Engineering Division Tech Session 1: IE-ing a Broader Perspective

Collection

2017 ASEE Annual Conference & Exposition

Authors

Cristina D. Pomales-Garcia, University of Puerto Rico, Mayaguez campus; Christopher Papadopoulos, University of Puerto Rico, Mayaguez campus

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Paper ID #17820An Industrial Engineering Design Experience Reflecting upon Moral Devel-opment and WellbeingDr. Cristina D. Pomales-Garcia, University of Puerto Rico, Mayaguez campus Dr. Cristina Pomales is Professor at the Department of Industrial Engineering at the University of Puerto Rico at Mayaguez (UPRM). She has a Bachelors in Psychology from the University of Puerto Rico at Mayag¨uez (2001) and a Ph.D. in Industrial and Operations Engineering from the University of Michigan (2006). Her research areas of interest are the study of Work Systems Design in Agriculture, Human Fac- tors, Occupational Safety Web-based

Conference Session

Engineering Economy Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Kate D. Abel, Stevens Institute of Technology (School of Engineering and Science)

Tagged Divisions

Engineering Economy

comparing the final exam and course scores of the Fall 2015students (those who were just told that electronics were not allowed in the classroom) tothe final exam and course scores (respectively) of students from the Fall of 2016 (thosewho were told electronics were not allowed since studies show use of electronics in theclassroom negatively impacts grades). These two grades were chosen intentionally. Thefinal exam score was chosen since it reflects how well students understand the materialfrom the entire course (but does not include the grades from the lab portion of the course).The course score was chosen for contrast since this score reflects both the course portion(where the study took place) and the lab portion of the course.Data AnalysisThe

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

Engineering Economy Division Technical Session 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Isaac W Wait, Marshall University; Sameh M. El-Sayegh, American University of Sharjah; Salwa Mamoun Beheiry, The American University of Sharjah

Tagged Divisions

Engineering Economy

learning gains that have arisen as a resultof student learning during a course of study.Concept inventories have been developed to assess student understanding in a variety of subjects,including physics1, statics2, biology3, genetics4, thermodynamics5, fluid mechanics6, light andspectroscopy7, dynamics8, chemistry9, digital logic10, thermal and transport science11,geoscience12, statistics13, and engineering hydrology14. Perhaps reflecting the wide range ofsubjects they seek to assess, there is substantial variation in the format and length of existingconcept inventories. Some utilize a multiple-choice structure, assigning an all-or-nothingoutcome to student responses, while others incorporate more detailed assessment of studentresponses in an

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 2

Collection

2017 ASEE Annual Conference & Exposition

Authors

Omar Ashour, The Pennsylvania State University, The Behrend College; Faisal Aqlan, Penn State Behrend; Paul C. Lynch, Penn State Erie, The Behrend College

Tagged Divisions

Engineering Economy

product design, process selection, manufacturing system design, etc. affect the company's financial issues. To develop skills that extend the basic concepts to solve problems encountered in personal financial situations.The class involves lectures, quizzes, homework assignments, two midterm exams, in-classproblems, and a final exam. The course grade reflects the student performance in six quizzes(20%), two midterm exams (40%), in-class clicker questions (10%), and a final exam (30%). Theinstructor decided not to grade the homework assignments because these assignments proved tobe ineffective in enhancing students’ learning in previous semesters. The instructor noticed thatstudents would receive a high or perfect grade in the homework

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