Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Weihang Zhu, University of Houston; Julia Yoo, Lamar University; James C. Curry, Lamar University; Brian Craig P.E., Lamar University; Hsing-wei Chu P.E., Lamar University; Jiang Zhou, Lamar University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

associated activities.AcknowledgmentThe project is sponsored by the National Science Foundation grant DUE-1457880. Their supportis greatly appreciated.References 1. Anderson, J., Barrett, K., and P. Schwager, “Information Systems Certification: The Perspective Of The Human Resource Manager,” Eighth Americas Conference On Information Systems, p.p. 2134 – 2142, 2002. 2. Sorkin, S., “Promoting computer science, engineering, and related programs with scholarships and student support services,” Frontiers in Education Proceedings 35th Annual Conference, p.p. 2-21, 2005. 3. Packard, B., “Mentoring and Retention in College Science: Reflections on the Sophomore Year,” Journal College Student Retention, vol. 6 (3), p.p. 289-300

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2015 ASEE Annual Conference & Exposition

Authors

Mary J. Meixell, Quinnipiac University; Nebil Buyurgan, Quinnipiac University; Corey Kiassat, Quinnipiac University

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

collaborativeeducational approaches.Lattuca and Stark’s academic planning model refer to these requirements as purposes andcontent. Additional considerations we took into account that are well reflected in the academicplanning model are instructional resources and processes, both of which were importantconsiderations in our program, especially considering the special issues associated with growinga new program where student enrollment is relatively low. For example, new program had topromote hands-on approaches in courses and outside the university to make it an active anddynamic learning experience. Lectures and in-class assignments had to be supported by Page

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Anuj Mittal, Iowa State University; Sriram Sundararajan, Iowa State University; D. Raj Raman, Iowa State University; Caroline C. Krejci, University of Texas at Arlington

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

Foundationunder Award No. DRL-1440446 Teachers and Engineers Collaborating in STEM ElementaryTeacher Preparation. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation, nor of Iowa State University. The authors also thank other project membersand cooperating faculty for their support, including Dr. Monica H. Lamm, Dr. Kristina M. Tank,Dr. Anne T. Estapa, Dr. Adah Leshem, Dr. Joanne K. Olson, Dr. Rohit Mehta, Dr. Mollie H.Appelgate, and Jennifer Lillo. Special thanks to Program for Women in Science and Education atIowa State University for allowing the authors to conduct IE outreach activities with femalemiddle school students.

Conference Session

Evaluation and Assessment of IE Programs

Collection

2006 Annual Conference & Exposition

Authors

Shantha Daniel, Iowa State University; Devna Popejoy-Sheriff, Iowa State University; K. Jo Min, Iowa State University; Leslie Potter, Iowa State University

Tagged Divisions

Industrial Engineering

with respectto understanding sustainability, global perspective, and the process design. The focus ontwo of the many realistic constraints considered throughout IE 441 was made to comparestudent knowledge across courses, as well as classes. Data from Fall 2005 was compiledand average score and standard deviation was calculated. Rubric assessment has beenadjusted as necessary to provide an accurate reflection of student abilities. Gradingrubrics in IE 441 have been modified to help the students know what is expected and toallow the instructor to better evaluate the students’ abilities to consider realisticconstraints as they impact the design process

Conference Session

IE Curriculum Design

Collection

2007 Annual Conference & Exposition

Authors

Harvey Svec, South Dakota State University; Harriet Svec, South Dakota State University

Tagged Divisions

Industrial Engineering

courses, students finish the course much more homogeneous in theirmastery than they begin. The assessment provides direction for our program of continuousdesign. We find that high school experiences and interests change as the technology changes.The level and specifics of instruction must be monitored while maintaining the rigor of thecourse work.In addition, we are interested in identifying students’ attitudes regarding courses. The surveyfocuses our attention on the importance of student attitude toward production engineering.Although given at the end of the project, the survey provides an opportunity for reflection by thestudents as they internalize the importance of the specifics to their career path. In summary, thesurvey provides a focus

Conference Session

Systems Engineering Curriculum and Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Regina Ruby Clewlow, Massachusetts Institute of Technology; Afreen Siddiqi, Massachusetts Institute of Technology; Joseph M. Sussman, Massachusetts Institute of Technology

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

supervised by an engineering systems Ph.D. student or faculty member, and wereconducted in small teams over the course of the entire semester. The projects served to engagethe students’ interest and provided real-world examples for applying the concepts and methodsintroduced in the lectures. This two-pronged approach is illustrated in Fig. 2. Page 25.840.6Figure 2. Two-pronged approach to course design: theoretical instruction and practical applicationThe lecture topics were selected carefully to reflect the introductory level of the course, but alsoto enable the students to acquire understanding of important concepts related to complex,sociotechnical

Conference Session

IE and the Classroom

Collection

2010 Annual Conference & Exposition

Authors

Lizabeth Schlemer, California Polytechnic State University; Daniel Waldorf, California Polytechnic State University

Tagged Divisions

Industrial Engineering

considered. For instance the average score foroutcome b - ability to design and conduct experiments, as well as to analyze and interpret data –is below the threshold 50% level. This was a flag to evaluate further the achievement of thisoutcome. In this case, the faculty agreed that the items provided for outcome b were significantlymore difficult that the other items and did not properly reflect expected level of achievement.The outcome b questions are currently under revision. Table 3: GSE score and sub-scores IE and MfgE Outcome IE (n= 130) Mfge (n = 32) Total (n=162) a 67.0% 73.7% 69.2% (21.5%) (23.4

Conference Session

IE Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Elizabeth A. Cudney, Missouri University of Science & Technology; Steven Michael Corns, Missouri University of Science & Technology; Jennifer A. Farris, Texas Tech University; Stephen Gent, South Dakota State University; Scott E. Grasman, Rochester Institute of Technology (COE); Ivan G. Guardiola, Missouri University of Science & Technology

Tagged Divisions

Industrial Engineering

graphical models were imported into VE-Xplorer, the Page 22.628.7graphical engine of VE-Suite. A layout was then arranged to simulate a manufacturing line [Fig.2], and the models used to represent the stations were then assigned properties to reflect theirphysical appearance. The next step was to write the programming code for the mathematicalmodels used to simulate the production line, such as Little’s Law. C++ language was used tocreate these models to allow for the creation of a computational unit for use in VE-Suite. Agraphical user interface was then designed to allow the students to provide input to thesimulation. This was written using an open

Conference Session

IE Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Lizabeth T. Schlemer, California Polytechnic State University, San Luis Obispo

Tagged Divisions

Industrial Engineering

social purpose: an integrative approach to the development of optimal human functioning. Educational Psychologist, 42(3), 153-171.   10. Hadgraft, R., Goricanec, J. (2007). Student engagement in project-based learning. Proceedings of the 1st International Conference on Research in Engineering Education, ASEE, ISBN: 0-87823-193-5. 11. Maleki, R. (2009). Business and industry project-based capstone courses: Selecting projects and assessing learning outcomes. Industry and Higher Education, 23(2), 91-102. 12. Maleki, R. (2009). Business and industry project-based capstone courses: A reflection on the performance of student teams. Industry and Higher Education, 23(2), 103-110. 13

Conference Session

IE and the Classroom

Collection

2010 Annual Conference & Exposition

Authors

Dean Jensen, South Dakota School of Mines and Technology; Stuart Kellogg, South Dakota School of Mines and Technology

Tagged Divisions

Industrial Engineering

Definitions 0.2 Counting Definitions 0.2 Counting 0 0.0 Distributions Expectations Distributions Expectations Figure 1. Probability and Statistics Concept Inventory Results (2003, 2008) Figure 1 shows results from a campus inventory given in the second semester of aprobability and statistics sequence. Enrollment in the course is predominantly industrialengineering majors. Figure 1 reflects limited understanding of fundamental concepts but thisperformance is neither new nor limited to probability and statistics. There is a significant andgrowing body of research that

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Yaseen Mahmud, Morgan State University; Masud Salimian, Morgan State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Some of the responses: ‘best chance to understandthe material’, 78%; liked the incremental testing aspect, 56%; benefited from the study routine,44%. Other benefits that students noted were: learned and applied time management skills, 78%;increased individualized time with the instructor, 56%; enhanced presentation skills, 56%.Students’ reflections on the structureThis was an innovative method for teaching an engineering class. None of the students hadencountered a format like it before. Students in the topic group were forced into variousstrategies in order to perform. An unarticulated goal of the format was to create a learningcommunity. Toward this end students were encouraged and did form both formal and informalstudy groups. In the

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

Gregory L. Wiles P.E., Southern Polytechnic State University; Thomas Reid Ball, Southern Polytechnic State University (ENG)

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

. (2005). A dynamic, systematic method for developing blended learning. Education, Communication & Information, 5(3), 221–232.4. Bassett, E., & Gallagher, S. (2005). Students prefer hybrids to fully online courses. Recruitment & Retention in Higher Education, 19(8), 7–8.5. Gecer, A., & Dag, F. (2012). A blended learning experience. Educational Sciences: Theory & Practice, 12(1), 438–442.6. Musawi, A. S. A. (2011). Blended learning. Journal of Turkish Science Education (TUSED), 8(2), 3–8.7. George-Palilonis, J., & Filak, V. (2009). Blended learning in the visual communications classroom: Student reflections on a multimedia course. Electronic Journal of e-Learning, 7(3), 247–256.8. Scherrer, C. R

Conference Session

Systems Engineering Education and K-12

Collection

2012 ASEE Annual Conference & Exposition

Authors

Charles S. Wasson, Wasson Strategics, LLC

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

SE.Every viable, mission-oriented, business entity – e.g., services organizations, non-profits, et al –serves a purpose, has interfaces with external systems in its operating environment – e.g.,customers, suppliers, competitors, et al, and produces performance-based outcomes – e.g.systems, products, services, and behaviors – that are delivered to or sold in the marketplace forsome form of return on investment (ROI) or to provide service benefits. This view is reflective ofthe mindset that SE applies only to physical systems and products such as cell phones,computers, etc. without recognition that organizations are also systems that produce products andservices for both external and internal customers and users.To illustrate the two organizational

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

concepts while providing them an immersive andintegrative learning experience.AcknowledgmentThe authors would like to thank the National Science Foundation for funding this approach underGrant # 1834465. Any opinions, findings, or conclusions found in this paper are those of theauthors and do not necessarily reflect the views of the sponsors. The authors would also like tothank Joshua Mathews and Tyler Concannon for their help in developing the VR learningmodule used in this study.References1. Froyd, J. E. & Ohland, M. W. Integrated Engineering Curricula. J. Eng. Educ. 94, 147– 164 (2005).2. Maciejewski, A. A. et al. A Holistic Approach to Transforming Undergraduate Electrical Engineering Education. IEEE Access 5, 8148–8161

Conference Session

Best Practices in IE Education

Collection

2009 Annual Conference & Exposition

Authors

Alister McLeod, Purdue University; April Savoy, Purdue University

Tagged Divisions

Industrial Engineering

learners’existing knowledge while expanding their repository. In the next phase, demonstration of skillsinvolves the regurgitation of the newly acquired knowledge. If demonstration is inconsistent withthe desired learning outcomes, the learning becomes ineffective; therefore, pertinent topics mustbe overtly presented to learners. In the application phase, there is a reduction in the amount oftime and effort spent coaching learners as they attempt to develop their skills through practice.Learning is obtained when discussion and reflection of the new knowledge garnered commences.Integration is the final phase, where learners demonstrate skill improvement because they haveintegrated it into their lives,.The characteristics of Problem based learning (PBL

Conference Session

New Topics in IE Education

Collection

2006 Annual Conference & Exposition

Authors

Sreekanth Ramakrishnan, SUNY Binghamton; Justin Sturek, SUNY Binghamton; Sumit Parimoo, SUNY Binghamton; Krishnaswami Srihari, SUNY Binghamton

Tagged Divisions

Industrial Engineering

11.1153.21elsewhere. Figure 6 – “Clean Slate” Layout5.0 Summary of ExperimentationSimulation modeling is an excellent tool for analyzing workflow modifications. Additionally,using a simulation model that accurately reflects real-life, sensitivity analysis can be conductedto study the impact of any modifications to the system. While mathematical models serve to Page 11.1153.22evaluate solutions for problems, such as workflow modeling and resource allocation, simulationserves as an excellent tool to study the outcomes from various ‘what-if’ scenarios 7.A simulation study was conducted to ascertain the potential benefits that could

Conference Session

IED Technical Session: Preparing Courses for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Michael Andre Hamilton, Mississippi State University ; Raed Jaradat, Mississippi State University; Parker Jones, Mississippi State University; Emily S. Wall , Mississippi State University; Vidanelage Lakshika Dayarathna, Mississippi State University; Debisree Ray, Mississippi State University ; Ginnie Shih En Hsu

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

design of the VR teachingmodule to be more immersive and visualized. The current VR module is a semi self-paced tutorial.Concurrent research (Phase III) is being conducted to investigate how well students understand thequeuing theory concept using this updated VR teaching module versus traditional classroomlecture. Data is currently being collected using a different set of students with the same conceptualquiz but taught the topic in a traditional classroom manner (control group). Afterwards, we plan toprovide a comparative analysis of both approaches, control group versus experimental group anddisseminate the results.. The sections discussed below only reflects how well the students performusing the VR training module (experimental group

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Heriberto Garcia-Reyes, Tecnologico de Monterrey; Cesia de la Garza Garza

Tagged Divisions

Industrial Engineering

. These fourth question opens aroom for reflection about how to reduce these perception results. All the answers weresummarized and grouped using a relationship diagram. In order to remark the findings we onlyshow the reasons which represents close to the 80% of the results. Table 6: Most relevant reason for each question Question Results Percentage Enable the solution of the other course assignments 43 1 Shows that students are able to solve real-life problems 37 Encourage the reading of tutorials and on line help systems 40 2 Shows the

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2015 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Pennsylvania State University, University Park; Cynthia Bober, Penn State University ; Joseph Wilck, East Carolina University

Tagged Divisions

Industrial Engineering

, the education provided tostudents can be better adapted to reflect the expectations of industry. It is important to definewhat the industry wants and needs for the current engineering programs9. Many universities areexposing students to manufacturing through senior capstone design courses to offer students witha realistic perspective of industry needs.Another vital area of manufacturing skills needed is within federal government organizations,such as the Department of Defense and the Department of Energy. A report coordinated by theNational Academies indicated that remanufacturing of weapons systems and nuclear systems, aswell as maintaining facilities for the maintenance and production of systems, is a strategic needfor the security of the

Conference Session

IED Technical Session: Preparing Students for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Rick Olson, University of San Diego; Andrés Esteban Acero, Universidad de los Andes

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

. Instead, a newseries of assignments asked students to reflect on their understanding of what it means to be achangemaking engineer, and to identify situations where the methods and models of ISYE 340could be used to effect positive change.Revising Lecture MaterialsTo meet the goals of the RED project, RED topics should be introduced into the course whilecontinuing to meet the primary course learning objectives. One way to achieve this is tointroduce common OR models by using RED contexts. For example, the characteristics of LPsmight be introduced using a two-variable example of growing corn or wheat with limitedresources of time, water and fertilizer. The scenario is easily understood but might seem quaintto U.S. students who envision large

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

to study knowledge assessment, problem solving, andmetacognition in engineering students.AcknowledgementsThis research was funded by the National Science Foundation awards (PI: Aqlan) #1711603 and#1830741 and supplements #1811284 and #1905680. The authors would like to thank all membersof the research group for their contributions. Any opinions, findings, or conclusions found in thispaper are those of the authors and do not necessarily reflect the views of the sponsor.References[1] Aqlan, F., and Alfandi, L. “Prioritizing process improvement initiatives in manufacturing environments,” International Journal of Production Economics, 196, 261-268, 2018.[2] Spak, G.T. “US advanced manufacturing skills gap: Innovation education solutions,” In

Conference Session

IE Program Design I

Collection

2007 Annual Conference & Exposition

Authors

Leslie Potter, Iowa State University; K. Jo Min, Iowa State University; Frank Peters, Iowa State University

Tagged Divisions

Industrial Engineering

of the CI process,several of the assessment rubrics have been modified since their initial application. After theFall ’04 semester, the rubric for outcome (h) was determined to need adjustment to increase itseffectiveness. Two of the evaluation criteria were further defined. In addition, senior studentresumes were collected to provide additional information about student activities.3 Likewise, therubric for outcome item (j) has required some revising. After the Fall ’05 semester, for example,IIE introduced an energy component in ABET Criterion 8. The current rubric for (j) reflects that. Page 12.578.6In addition to the objective measures

Conference Session

IE Program Design I

Collection

2007 Annual Conference & Exposition

Authors

Manuel Morales, University of Puerto Rico-Mayaguez; Alexandra Medina-Borja, University of Puerto Rico-Mayaguez

Tagged Divisions

Industrial Engineering

) Leaving Engineering: Lessons from Rowan University’s College ofEngineering, Journal of Engineering Education, January7. Felder, R.M., Brent, R., Understanding Student Differences, Journal of Engineering Education, January,p.57-72, 2005.8. Kroll, B.M., Teaching Hearts and Minds: College Students Reflect on the Vietnam War in Literature,Carbondale, Ill.: Southern Illinois University Press, 1972.9. Astin, A.W., What Matters in College?: Four Critical Years Revisited, Jossey-Bass Publishers, SanFrancisco, 1993, Chapter 11.10. Marton, F., and Säljö, R., “Approaches to Learning,” in Marton et al. [11]11. Marton, F., Hounsell, D., and Entwistle, N., eds., The Experience of Learning, 2nd ed., Edinburgh:Scottish Academic Press, 1997.12. Heckel, Richard W

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Pennsylvania State University, University Park; Joseph Wilck IV, East Carolina University; Cynthia Bober, Penn State University ; Jennifer Louise Mines, The Pennsylvania State University

Tagged Divisions

Industrial Engineering

not just industrialengineering students but all STEM students are predominantly active, visual, and sensing learnertypes1-4. However, it is evident that most engineering undergraduate courses are generally taughttoward reflective, verbal, and intuitive learner types. This is in fact the exact opposite of thesuggestions made from multiple learning style studies1-4. Engineering teaching is more focusedon theory and mathematical proofs over practical, “real world” applications and experimentationfavored by sensing learners. Engineering instruction tends to be very verbal rather than visual,focusing on written explanations and mathematical formulas. In addition, the engineeringclassroom tends to rely heavily on lectures and reading assignments

Conference Session

Assessment and Accreditation in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

David S. Cochran, Southern Methodist University and Meijo University; Makoto Kawada, Meijo University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

to note thatthe system is self-measuring. Performance information is not sent to an external group ofmanagers. Figure 7. Students in Japan Working Together on the Manufacturing System Design8. Run and Re-Run Simulation Until the Team Achieves the System FRs. If, the systemdoes not achieve the FRs, the students re-design and re-run their plant simulation, until thesystem achieves each of the 6 FRs. The approach is that the student teams invent the 6 PSs toachieve the 6 FRs. In addition students may add additional FRs to the initial set of 6 FRs.9. Team Reflection and Coaching. After each simulation run, the students discuss theirobservations about the simulation run. The teacher helps students put into words theirobservations about the