Conference Session

Industrial Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Faisal Aqlan, Penn State Erie, The Behrend College; Richard Zhao, Penn State Erie, The Behrend College; Heather C. Lum, Pennsylvania State University; Lisa Jo Elliott, Pennsylvania State University

Tagged Divisions

Industrial Engineering

. Aparticipant wears the VR headset while completing the simulation. In the simulation, theparticipant sees through the headset a virtual environment of a workstation, and is able to interactwith the objects in the virtual environment, e.g. pick up a LEGO piece, using the wireless controllerin hand. In this craft production simulation, the participant is first presented with a set of instructionson craft production as well as on how to use the virtual environment. Once the participant is readyto start, the car order along with the set of customer requirements are presented to the participant.For example, the requirements could be:(a) vehicle weight between 20 and 40 grams;(b) material cost is less than or equal to $10;(c) number of individual

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ralph Ocon, Purdue University, Calumet

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

. Assessment criteria can include: (a) Whether the problem was accurately defined (the Problem as State & Problem as Understood)? (b) Did the solution(s) solve the problem? (c) Did the student engage in critical thinking? (d) How is the solution going to be implemented? (identify concerns). (e) During student presentations: evaluate the use visuals, and presentation preparation & skills. (f) During group/team presentations: evaluate the quality of collaboration and initiatives undertaken by individual team members.(3) Student input should be part of the assessment process: Use class discussions to evaluate/critique PBL assignments/activities. Select

Conference Session

Pedagogical Advancements in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

S. Jimmy Gandhi, Stevens Institute of Technology; Brian Sauser, Stevens Institute of Technology; Brian E. White, Complexity Are Us - Systems Engineering Strategies; Alex Gorod, Visiting Fellow, University of Adelaide; Vernon Ireland, University of Adelaide

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

the color of the nodes of Figure 1.Case Study OutlineA suggested outline to follow in preparing a case study is provided in Appendix B. Each mainsection (whose sub-title is indicated by the index integers [for short-hand reference] and in bold-faced type) of this outline is explained in detail as follows. Relatively minor sections and addi-tional optional aspects (that can be pursued by the author(s) are indicated in brackets […]) of theoutline are not given integer indices.Case Study ElementsThis first section is intended to be a “bulletized” executive summary that can be: 1) used for sort-ing among all case studies; and 2) scanned quickly to understand the nature of the case study.The Fundamental Essence and Topical Relevance, respectively

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Elif Akcali, University of Florida; Mariana Buraglia, University of Florida; Andrea Essenfeld, University of Florida; Jade Williams, University of Florida

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

assumptions does not consider oradequately capture. For instance, a mission critical item that is only used once during theevaluation period can be classified as a Class C item, but based on the importance of the item forthe system, in fact, the item may have to be reclassified as a Class A or Class B item. Similarly,the verb dream was used to capture System Improvement. The verb be was used to capture ABCAnalysis, which is not surprising due to the structure of the poem and also because the studentshad to include an additional line at the end of the poem to communicate the supply chain conceptthey decided to write their poem about. These observations suggest that verb choices may influencethe students’ selection of the supply chain concept to

Conference Session

Engineering Management Applications

Collection

2012 ASEE Annual Conference & Exposition

Authors

S. Jimmy Gandhi, Stevens Institute of Technology; Alex Gorod, Visiting Fellow, University of Adelaide

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

framework," Doctor of Philosophy Mechanical & Aerospace Engineering Massachussetts Institute of Technology Cambridge, Massachussetts, 2002.[15] J. Jackson. (2007, July 27, 2007) Offshore Outsourcing has Risks Article Alley. Available: http://www.articlealley.com/article_193815_15.html[16] J. Vijayan and T. Hoffman, "Improved Service top cited outsourcing goal," Computerworld vol. 31, p. 10, Dec 1 1997.[17] G. Kaufman, "Bank failures, systemic risk and bank regulation," CATO Journal vol. 16, p. 29, Spring/Summer 1996 1996.[18] S. J. Gandhi, A. Gorod, B. Sauser, and V. Ireland, "Systemic Risk Managenent in System of Systems " Engineering Management Journal 2012.[19] T. E. Djaferis, "An Introduction to

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Lisa Bosman, Purdue University at West Lafayette; Ebisa Wollega, Colorado State University - Pueblo; Usman Naeem

Tagged Divisions

Industrial Engineering

Paper ID #32941HyFlex, Hybrid, and Virtual Synchronous Teaching in the EngineeringClassroom: An Autoethnographic ApproachDr. Lisa Bosman, Purdue University at West Lafayette Dr. Bosman holds a PhD in Industrial Engineering. Her engineering education research interests include entrepreneurially minded learning, energy education, interdisciplinary education, and faculty professional development.Dr. Ebisa Wollega, Colorado State University - Pueblo Ebisa Wollega, Ph.D. is an assistant professor of engineering at Colorado State University-Pueblo. His re- search interest areas include stochastic programming, large scale

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

Douglas H Timmer, University of Texas, Pan American; Miguel Gonzalez, University of Texas, Pan American

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

, marital status, number of children, parents’ educationalachievement and enrollment information.Table 2 contains the evaluation of the group performance. The enrolled students were dividedinto three groups because gauge R&R studies require at least two operators to be conducted.Student performance was evaluated as Exceptional (A-level), Effective (B-level), Acceptable (C-level) and Unsatisfactory (D-F level). In general, the student performance was unsatisfactory.Only one group performed a gauge R&R study using the steel rule at an acceptable level. Theanalyses of gauge R&R studies using the caliper and micrometer were unsatisfactory for everygroup. All groups made the same mistake when gathering data for the gauge R&R studies

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Aimee T. Ulstad, Ohio State University; Lora Mavrouli, Ohio State University

Tagged Divisions

Industrial Engineering

urbanpetlovers.Ourmissionistoprovideservice,safetyandafamilyatmosphere, enablingbusydogownerstospendlesstimetakingcareoftheirdog’sbasicneedsand moretimehavingfunwiththeirpet.”)Ingeneral,it’sbesttokeepyourmission statementtooneortwosentences. 2. Companyphilosophyandvision a. Whatvaluesdoesyourbusinessliveby?Honesty,integrity,fun,innovation andcommunityarevaluesthatmightbeimportanttoyourbusiness philosophy. b. Visionreferstothelong-termoutlookforyourbusiness.Whatdoyou ultimatelywantittobecome?Forinstance,yourvisionforyourdoggieday- carecentermightbetobecomeanationalchain,franchiseortoselltoa largercompany. 3. Companygoals Specify your long- and

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Alison M. Knight, Mayo Clinic; Gillian M. Nicholls, University of Alabama, Huntsville; Paul J. Componation, University of Alabama, Huntsville

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

summary statistics, statistical models were builtto predict exam performance based on the variables outlined in the previous sections. Logisticregression was chosen because of the non-normality of the outcome variable (exam scores) andthe many categorical variables. For a logistic regression model, the outcome variable must bedichotomous. As a result, the exam score variable was transformed to a binary variable with 1indicating the score was 80% or higher (A or B) and 0 indicating the score was less than 80% (C,D, or F). Multinomial regression was considered but rejected because of concerns that there wasnot a large enough sample size for this technique.Instead of one model that predicts the overall course grade, three models were built to

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Alejandro Salado, Virginia Tech; Andrew Katz, Purdue University, West Lafayette

Tagged Divisions

Industrial Engineering

Paper ID #24583Monetizing Life May Be the Ethical Thing to DoDr. Alejandro Salado, Virginia Tech Dr. Alejandro Salado is an assistant professor of systems engineering with the Grado Department of Industrial & Systems Engineering at Virginia Tech. His research focuses on unveiling the scientific foun- dations of systems engineering and using them to improve systems engineering practice. Before joining academia, Alejandro spent over ten years as a systems engineer in the space industry. He is a recipient of the Fabrycky-Blanchard Award for Systems Engineering Research and the Fulbright International Science and

Conference Session

IE and the Classroom

Collection

2010 Annual Conference & Exposition

Authors

Lesley Strawderman, Mississippi State University; Laura Ruff, Mississippi State University

Tagged Divisions

Industrial Engineering

career efficacy, as predicted in the fifthhypothesis. Students who had higher satisfaction scores with the course had significantly higherefficacy scores (F = 8.66, p < 0.001). Additionally, satisfaction and career efficacy scores were Page 15.697.6significantly correlated (r = 0.335, p < 0.001). The grade a student received in the introductorycourse also had a significant impact on career efficacy (F = 2.74, p = 0.030). Students whoreceived an “A” in the course had significantly higher efficacy scores than those who received a“B.”Table 5. Impact of Student Satisfaction on Average Career Efficacy Variable Sample

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Michael Daniel Sherwin P.E., University of Pittsburgh

Tagged Divisions

Industrial Engineering

. Jones and M. Mezo, "Capstone = Team Teaching + Team Learning + Industry," in ASEE Annual Conference and Exposition Proceedings, Indianapolis, 2014.[6] W. Kelly, T. A. Bickart and P. Suett, "Incorporating Standards Into Capstone Design Courses," in Annual Conference Proceedings, Portland, 2005.[7] M. Paliwal and B. Sepahpour, "A Revised Approach for Better Implementation of Capstone Senior Design Projects," in ASEE Annual Conference and Exposition, San Antonio, 2012.[8] M. J. Haslam and M. A. Beck, "Bridging the Gap: Teamwork and Leadership in Engineering Capstone Courses," in ASEE Pacific Southwest Section Meeting, Los Angeles, 2019.[9] C. A. Berry, "Teaching an Electrical Circuits Course Online," in ASEE Annual Conference

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

participants. The program also provides careeradvice and encouragement for professional and university involvement. Our goal for scholarshiprecipients is that they graduate and find employment within their field of study or attend graduateschool.The scholar selection criteria are: 1. U.S. Citizen, Permanent Resident, U.S. National or aliens admitted as refugees; 2. Enrolled full time for each long semester in which a scholarship is received; 3. Incoming sophomore, junior or senior; sophomore has priority; 4. Have completed Calculus I, Calculus II and Calculus-based Physics I with minimum grades of B; 5. Have a minimum Lamar GPA of 3.0 (cumulative and within the major), or otherwise demonstrate successful progress towards and commitment

Conference Session

Best Practices in IE Education

Collection

2009 Annual Conference & Exposition

Authors

Jane Fraser, Colorado State University, Pueblo

Tagged Divisions

Industrial Engineering

the institution Page 14.651.2 and these criteria (b) a process that periodically documents and demonstrates that the objectives are based on the needs of the program's various constituencies (c) an assessment and evaluation process that periodically documents and demonstrates the degree to which these objectives are attained.”In particular, the program should be designed using PEOs that “are based on the needs of theprogram’s various constituencies.”This paper focuses on designing PEOs that meet the needs of employers who might hiregraduates of the program. Most ABET-accredited programs include

Conference Session

Reforming the Industrial Engineering Curriculum

Collection

2006 Annual Conference & Exposition

Authors

Sharon Johnson, Worcester Polytechnic Institute; Diane Strong, Worcester Polytechnic Institute; Jamshed Mistry, Worcester Polytechnic Institute

Tagged Divisions

Industrial Engineering

thenmeasuring the effectiveness of the modules in achieving these outcomes.References1. Bandura, A., Self-Efficacy: The Exercise of Control, W.H. Freeman and Company, New York, NY, 1997.2. Bandura, A., Social Foundations of Thought and Action: A Social Cognitive Theory, Englewood Cliffs, NJ: Prentice-Hall, 1986.3. Compeau, D.R. and C. A. Higgins, “Computer Self-Efficacy: Development of a Measure and Initial Test”, MIS Quarterly (19:2): 189-211, 1995.4. Davenport, T. H., J. G. Harris, D. W. De Long, and A. L. Jacobson, “Data to Knowledge to Results: Building an Analytic Capability”, California Management Review (43:2): 117-138, 2002.5. Dishaw, M. T., D. M. Strong, and D. B. Bandy, “Extending the Task-Technology Fit Model with Self-efficacy

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

James C. Curry, Lamar University; Brian Craig P.E., Lamar University; Weihang Zhu, Lamar University

Tagged Divisions

Industrial Engineering

website recommends that students should complete at least sixmath-based lower division courses (such as Calculus I/II, Differential Equations, Linear Algebra,Physics I/II, Chemistry I/II, Statics, Dynamics, Engineering Economics, Circuits, or similarcourses) before joining the BSIE 2+2 online program. The website also recommends thatstudents should have reasonable good grades (mostly A and B) in these math-based lowerdivision courses. While LU has reasonable low transfer admission standards, the departmenttargets students who would have a reasonable high probability of completing a challengingdistance engineering education program. The degree plan in Table 1 is somewhat typical, butsome variation is common (e.g. POLS, HIST, etc. being taken 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

a b c d e f g h i j k l m n o p Outcome ItemsFigure 7. Pre- and post-survey scores by students (n=4) regarding how well education hashelped with individual outcome items on a numerical scale of 1-5. Page 12.578.14 Change from Pre-test to Post-test Student Scores for Outcome Items a-p 1.60 1.40 1.20 1.00 Scale of 1-5

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2019 ASEE Annual Conference & Exposition

Authors

Leonardo Bedoya-Valencia, Colorado State University, Pueblo; Yaneth Correa-Martinez, Colorado State University, Pueblo; Katherine Sofía Palacio, Fundacion Universidad del Norte; Luceny Guzman Acuña, Universidad del Norte

Tagged Divisions

Industrial Engineering

, it proposes the assessment ofthose modules based on both summative and formative outcomes. Additionally, the moduleswill be produced both in English and Spanish in an international collaboration.Bibliography1. Bishop, J. L., and M. A. Vergler, “The Flipped Classroom: A Survey of the Research,” in 120th ASEE Annual Conference, Atlanta, GA, 2013.2. Kellogg, S., “Developing Online Materials to Facilitate an Inverted Classroom Approach”, 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, 2009.3. Toto, R. and H. Nguyen, “Flipping the Work Design in an Industrial Engineering Course”, 39th ASEE/IEEE Frontiers in Education Conference, San Antonio, TX, 2009.4. Hepplestone, S., H., Graham, B., Irwin, H. J., Parkin, and L

Conference Session

Innovations in the IE Curriculum

Collection

2012 ASEE Annual Conference & Exposition

Authors

Ana Vila-Parrish, North Carolina State University; Dianne Raubenheimer, Meredith College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

reflections located relevant information located in these located in these in these cells B—Articulate uncertainties cells cells Step 2: EXPLORE C— Overall, FIRST Integrate multiple reflections Overall, SECOND perspectives and located in these reflections located clarify assumptions D—Qualitatively cells in these cells interpret information and create a Overall, SECOND meaningful reflections organization

Conference Session

Issues and Opportunities in IE Education

Collection

2009 Annual Conference & Exposition

Authors

Paul Kauffmann, East Carolina University; Cathy Hall, East Carolina University; Michael Bosse, East Carolina University; David Batts, East Carolina University; Laurie Moses, East Carolina University

Tagged Divisions

Industrial Engineering

Resources Statistics, Women, Minorities, and Persons with Disabilities in Science and Engineering: 2007, NSF 07-315 (Arlington, VA: February 2007). Available from http://www.nsf.gov/statistics/wmpd5. Clewell, B (1996).Access to Mathematics and Science Careers For Underrepresented Minority Students: Research Findings and Explorations . A Report from the National Science Foundation Minority Postdoctoral Research Fellows and Mentors Annual Meeting.6. Adya, M., & Kaiser, K. M. (2005). Early determinants of women in the IT workforce: a model of girls' career choices. Information Technology & People. 18, 230-259.7. Miller, P. H., Blessing, J. S., & Schwartz, S (2006). Gender Differences in High-school

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

: a review of literature on its outcomes and implementation issues. Academic Medicine, 68(1), 29.2. Bangert, A. W. (2004). The Seven Principles of Good Practice: A framework for evaluating on-line teaching. The Internet and Higher Education, 7(3), 217-232.3. Barrows, H. S., & Tamblyn, R. (1980). Problem-based learning an approach to medical education. New York: Springer.4. Boud, D., & Feletti, G. (1998). The challenge of problem-based learning (2nd ed.). London: Kogan Page Limited.5. Council on Competitiveness. (2004). Supercharging U.S. innovation and competitiveness. Paper presented at the First Annual High Performance Computing Users Conference, Washington D.C.6. Duch, B

Conference Session

Evaluation and Assessment of IE Programs

Collection

2006 Annual Conference & Exposition

Authors

Jane Fraser, Colorado State University-Pueblo; Alejandro Teran, ITAM (Instituto Tecnologico Autonomo de Mexico)

Tagged Divisions

Industrial Engineering

degrees in certaincountries and regions and toward international links among programs. We make tworecommendations related to partners: IE programs should seek partnerships withmechanical engineering and with business programs, and IE programs should seekpartners with universities in other countries.Methods for finding IE programs in other countriesWe compiled a list of programs to be examined by drawing from the following sources.Washington Accord Programs. The Washington Accord, signed in 1989, is an agreementamong engineering accrediting bodies in Australia, Canada, Ireland, Hong Kong, NewZealand, South Africa, United Kingdom, and the United States. The agreement“recognizes the substantial equivalency of programs accredited by those bodies

Conference Session

IE and Manufacturing

Collection

2010 Annual Conference & Exposition

Authors

Guanghsu Chang, Minnesota State University, Mankato; William Peterson, Minnesota State University, Mankato

Tagged Divisions

Industrial Engineering

-k Learning Outcomes Outcomes a-k Outcomes OutcomesAnalytical Ability a,c,f 1,2,4 Oral Communication e,g 6Teamwork e,f 6,7 Written Communication e,g 6Project Management b,e 6,7 Visual Communication e,g 6Math Skills b

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

”, or “Develop a tool to match volunteers with organizations that need their skills.” B: Write a 400 to 600-word paper that elaborates on one of the situations identified in part A including a discussion of:  The problem being addressed  The population that would benefit  Other people who would be affected  Objectives that could be considered and whether they might conflict with each other  The kinds of constraints that could be encountered. C: Prepare and deliver a 3 to 5-minute presentation to the class that summarizes the paper written in part B.In parts B, and C, students were told to not attempt to model their scenario. It

Conference Session

IE Technical Session I

Collection

2011 ASEE Annual Conference & Exposition

Authors

Abhijit Gosavi, Missouri University of Science & Technology; Jane M. Fraser, Colorado State University, Pueblo

Tagged Divisions

Industrial Engineering

Position, MIT, Cambridge, MA, 1982.[4] Elsayed, E. and T. Boucher. Analysis and control of production systems. Prentice Hall, second edition,1994.[5] Handfield, R.B. and E. L. Nichols. Introduction to supply chain management, Prentice Hall, 1999.[6] Hambleton, L. Treasure Chest of Six Sigma, Prentice Hall, 2008.[7] Haug-Warberg, T. Computer science buzz-words. Online athttp://www.nt.ntnu.no/users/haugwarb/Programming/MISCELLANEOUS/language_buzz_words.pdf,accessed on Jan, 17, 2011.[8] Heizer, J., B Render and J. Heyl. “A four-decade view of changes in OM.” OR/MS Today, Feb, 2011, pg8.[9] Heragu, S. Facilities Design, CRC press, third edition, 2006.[10] Montgomery, D. Introduction to Statistical Quality Control, Wiley fourth edition, 2001.[11] Ohno

Conference Session

IE and Manufacturing

Collection

2010 Annual Conference & Exposition

Authors

Sarah Bouamor, University of Oklahoma; Chen Ling, University of Oklahoma; Binil Starly, University of Oklahoma; Randa Shehab, University of Oklahoma

Tagged Divisions

Industrial Engineering

, (3), 303-322.3. Jones, M. G., Minogue, J., Oppewal, T., Cook, M., & Broadwell, B. (2006). Visualizing without vision at the microscale: Students with visual impairment explore cells with touch, Journal of Science Education and Technology, 15, 1573-1839.4. Grow, D. I., Lawton, V., & Okamura, A. M. (2007). Educational haptics. American Association for Artificial Intelligence (AAAI) 2007 Spring Symposia- Robots and Robot Venues: Resources for AI Education.5. Okamura, A. M., Richard, C., & Cutkosky, M. R. (2002). Feeling is believing: Using a force-feedback joystick to teach dynamic systems. ASEE Journal of Engineering Education, 91(3), 345–349.6. He, X. (2003). Haptics-augmented undergraduate

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Houshang Darabi, University of Illinois, Chicago; Fazle Shahnawaz Muhibul Karim, University of Illinois, Chicago; Samuel Thomas Harford; Elnaz Douzali, University of Illinois, Chicago; Peter C. Nelson, University of Illinois, Chicago

Tagged Divisions

Industrial Engineering

,” JEDM Journal of Educational Data Mining, 2009.[22] R. B. Sachin, “A Survey and Future Vision of Data mining in Educational Field,” Advanced Computing & Communication Technologies, 2012.[23] C. Romero, “Educational data mining: a review of the state of the art,” IEEE Transactions on Systems, Man, and Cybernetics, 2010.[24] D. B. Fernandez and S. Lujan-Mora, “Comparison of applications for educational data mining in Engineering Education,” in 2017 IEEE World Engineering Education Conference (EDUNINE), 2017, pp. 81–85.[25] A.-H. Tan, “Text mining: The state of the art and the challenges,” in PAKDD 1999 Workshop, 1999.[26] S. Munzert, C. Rubba, P. Meißner, and D. Nyhuis, Automated data collection with R

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2016 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Penn State University - Erie; Cynthia Bober, Penn State University; Joseph Wilck, United States Air Force Academy

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

“unsatisfying” class together. To alleviate this issue relating to beingbinary of “good” or “bad” courses, only one course was evaluated in each survey given tostudents. The course assigned to each student was randomly given for one of three courses thatthe students would have taken or have been currently enrolled in, named Class A, Class B, ClassC. Each survey type had approximately 35 students in the sample set. Therefore, the 107participating students were split into thirds to compare three courses. The questions and formatamong the class versions remained the same. Different courses within the curriculum werechosen to avoid a student ranking courses very high or very low in satisfaction, leading to a nullmodel that shows little significance. All

Conference Session

Assessment and Accreditation in Engineering Management

Collection

2012 ASEE Annual Conference & Exposition

Authors

Pawel Pawlewski, Poznan University of Technology; Zbigniew J. Pasek, University of Windsor

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

follows: A. Easy-to-use – user-friendliness of software in terms of creating the simulation model, visualization, preparing animations, cooperation with Excel, preparing presentations, distinguishing various competence levels of users, B. Direct cooperation with a 3D model – students are very enthusiastic about working with 3D models, C. User-friendliness in terms of optimization possibilities D. Easy-to-create statistical distributions, E. Free access to the so called viewer, which makes it possible to start simulation without changing the model and input data, F. Elasticity, positive attitude of the software distributor towards the idea of cooperation between a university, industry and software distributor

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Emre Tokgoz, Quinnipiac University

Tagged Divisions

Industrial Engineering

hands-on activities. b. SPSS is instructed to students via video recordings and in-class lectures. c. R is instructed students via readily available resources in the internet.Students are assigned to solve software-driven SPC problems in parts of the course assignments as well as thesemester project of the course. The assignment questions were instructor’s own questions that could not befound in textbooks. The course project required students to work in groups to identify and solve a problem byworking with a manufacturer, health care provider or service provider in the area. Students had the freedom tochoose the software package for their in-class presentation and the written report. All project groups used a mixof the