Conference Session

Starting the Last Day with New Ideas

Collection

2009 Annual Conference & Exposition

Authors

Nagen Nagarur, State University of New York, Binghamton; Krishnaswami Srihari, State University of New York, Binghamton; Sarah Lam, State University of New York, Binghamton

Tagged Divisions

Industrial Engineering

AC 2009-2203: A SPECIALIZATION IN FINANCIAL SYSTEMS IN SYSTEMSSCIENCE AND INDUSTRIAL ENGINEERING DEPARTMENTNagen Nagarur, State University of New York, Binghamton Dr. Nagen Nagarur is an Associate Professor in the department of Systems Science and Industrial Engineering at Binghamton University. Dr. Nagarur has a B.Tech. in Chemical Engineering from the Regional Engineering College, Warangal, India. He has an M.S. degree in Industrial Engineering from Wichita University, Kansas, and he obtained his Ph. D. degree in Industrial Engineering and Operations Research at Virginia Polytechnic Institute and State University. Dr. Nagarur has been with the Binghamton University since 2001, and prior to that

Conference Session

Applying What We Teach to IE Education

Collection

2009 Annual Conference & Exposition

Authors

Andrew Jackson, East Carolina University; Sherion Jackson, East Carolina University; Merwan Mehta, East Carolina University

Tagged Divisions

Industrial Engineering

AC 2009-1333: APPLYING THE SIX SIGMA PROCESS WHEN CREATING AMODULAR SIX SIGMA GREEN BELT PROGRAMAndrew Jackson, East Carolina UniversitySherion Jackson, East Carolina UniversityMerwan Mehta, East Carolina University Page 14.229.1© American Society for Engineering Education, 2009 Applying the Six Sigma Process when Creating a Modular Six Sigma Green Belt ProgramAbstractBusiness demand for Six Sigma educational programs has been on the rise the past several yearsand it appears that this trend will continue. In response to this demand from both industrial andacademic customers, the Department of Technology Systems at East Carolina University

Conference Session

IED Technical Session: Preparing Programs for the Future

Collection

2018 ASEE Annual Conference & Exposition

Authors

Kate D. Abel, Stevens Institute of Technology

Tagged Divisions

Industrial Engineering

Paper ID #21205A New Industrial and Systems Engineering Program: Benchmarking Resultsto Determine What and WhyDr. Kate D. Abel, Stevens Institute of Technology Kate Abel serves as the as the Director of the Bachelor of Engineering in Engineering Management Program in the School of Systems and Enterprises at Stevens Institute of Technology. She holds a Ph.D. in Technology Management and Applied Psychology. She has held several professional service positions, including the President of the Engineering Management Division of the American Society for Engineering Education and the President of Epsilon Mu Eta, the Engineering

Conference Session

Innovative IE Curricula

Collection

2013 ASEE Annual Conference & Exposition

Authors

Yunchen Huang, Mississippi State University; Lesley Strawderman, Mississippi State University; John M. Usher P.E., Mississippi State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

Paper ID #6000A New Model for Mentoring Graduate Students: Teach Them How to TeachDr. Yunchen Huang, Mississippi State University Yunchen Huang just received his Ph.D. at Mississippi State University. His research focus is human factors engineering. He has engaged in both teaching and research related to human facotors in everyday lifeDr. Lesley Strawderman, Mississippi State UniversityDr. John M. Usher P.E., Mississippi State University Dr. John M. Usher is a professor and Department Head of Industrial Engineering at Mississippi State University. Dr. Usher’s research interests focus on systems simulation, modeling, and

Conference Session

Systems Engineering Curriculum and Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kahina Lasfer, Stevens Institute of Technology; Arthur Pyster, Stevens Institute of Technology

Tagged Divisions

Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-3342: A REVIEW OF NON-TENURE-TRACK, FULL-TIME FAC-ULTY AT SYSTEMS CENTRIC SYSTEMS ENGINEERING (SCSE) PRO-GRAMSKahina Lasfer, Stevens Institute of Technology Kahina Lasfer is a Ph.D. candidate in the School of Systems Engineering at Stevens Institute of Tech- nology. Her research area is based on analyzing and creating a systems-based approach for the graduate systems engineering education for the 21st century. She participated in many projects at the school of sys- tems and enterprises including a project to create a model curriculum in graduate software engineering. She has a master’s degree in computer engineering. She worked with Lucent Technologies as a Software Developer and Software Designer/Architect

Conference Session

IE Applications and Systems

Collection

2010 Annual Conference & Exposition

Authors

Samuel Guccione, Eastern Illinois University; Thomas McDonald, Eastern Illinois University

Tagged Divisions

Industrial Engineering

AC 2010-894: A META STUDY OF DISCRETE EVENT MODELING ANDSIMULATION (DES) USED BY HEALTHCARE INDUSTRIESSamuel Guccione, Eastern Illinois UniversityThomas McDonald, Eastern Illinois University Page 15.52.1© American Society for Engineering Education, 2010 A Meta Study of Discrete Event Modeling and Simulation (DES) Used by Healthcare IndustriesIntroductionDiscrete event modeling and simulation (DES) is a popular tool in widely varying fields foridentifying and answering questions about the effects of changes on processes. Themanufacturing and business sectors have been using DES since the early 1980’s. Because ofissues related to economic and social

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2014 ASEE Annual Conference & Exposition

Authors

Letitia M. Pohl, University of Arkansas; Edward A. Pohl, University of Arkansas

Tagged Divisions

Industrial Engineering

Paper ID #10845From Classroom to Online to Hybrid: The Evolution of an Operations Man-agement CourseDr. Letitia M. Pohl, University of Arkansas Letitia Pohl is an instructor in the Department of Industrial Engineering at the University of Arkansas. She holds a Ph.D. in Industrial Engineering from the University of Arkansas, an M.S. in Systems Engineering from the Air Force Institute of Technology, and B.S. in Mechanical Engineering from Tulane University. Dr. Pohl served as an officer in the U.S. Air Force for eight years. At the University of Arkansas, Dr. Pohl has served as the Assistant Director of the Mack-Blackwell

Conference Session

IED Technical Session: Preparing for the Future Through Projects and Research

Collection

2018 ASEE Annual Conference & Exposition

Authors

Janis P. Terpenny, Pennsylvania State University, University Park; Catherine M. Harmonosky, Pennsylvania State University, University Park; Amine Lehtihet, Pennsylvania State University, University Park; Vittal Prabhu, Pennsylvania State University, University Park; Andris Freivalds, Pennsylvania State University, University Park; Elena M. Joshi, Pennsylvania State University, University Park; Jose A. Ventura, Pennsylvania State University, University Park

Tagged Divisions

Industrial Engineering

Paper ID #23689Product-based Learning: Bundling Goods and Services for an IntegratedContext-rich Industrial Engineering CurriculumDr. Janis P. Terpenny, Pennsylvania State University, University Park Janis Terpenny is the Peter and Angela Dal Pezzo Department Chair and Head of the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at Penn State. She is also director of the Center for e-Design, an NSF industry/university cooperative research center (I/UCRC). She is a Fellow of IISE and of ASME, and a member of ASEE, INFORMS, Alpha Pi Mu, and Tau Beta Pi. She serves as an associate editor for the

Conference Session

Student Development and Assessment in IE Programs

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kim LaScola Needy, University of Arkansas; Edward A. Pohl, University of Arkansas; Eric Specking, University of Arkansas

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

economic analysis, sustainable engineering, and integrated resource management. She is a member of ASEE, ASEM, APICS, IIE, and SWE. She is a licensed P.E. in Kansas.Dr. Edward A. Pohl, University of Arkansas Edward A. Pohl is an Associate Professor in the Department of Industrial Engineering at the University of Arkansas. Pohl spent 20 years in the U.S. Air Force, where he served in a variety of engineering, analysis, and academic positions during his career. He received a Ph.D. in system and industrial engineering from the University of Arizona in 1995, a M.S. in reliability engineering from the University of Arizona in 1993, a M.S. in system engineering from the Air Force Institute of Technology (AFIT) in 1988, a M.S

Conference Session

Issues and Opportunities in IE Education

Collection

2009 Annual Conference & Exposition

Authors

J. Eric Bickel, University of Texas, Austin

Tagged Divisions

Industrial Engineering

be given by r = (r1,…,rn), where riis the stated probability (the student’s answer) that answer i is correct, and the sum of theseresponses is equal to one. Students are likely to have many different objectives in such a situation, ranging fromlearning the material to getting a good grade. We assume that letter grades are a strictlyincreasing function of the total points earned on the exam and that students seek to maximizetheir points. This simplification seems reasonable, particularly in programs that fractionalizeletter grades (e.g., B+, A-, A). If the student is scored according to some function R, then her expected score when sheassigns r and believes p is R (r | p)   i pi Ri (r ) , where Ri is the score received for

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

) simulation sickness –through three symptoms nausea, oculomotor disturbance, and disorientation, 2) VR SystemsUsability – through comfort and ease of use, and 3) User Experience – through involvement,immersion, visual fidelity, interface quality, and sound. Simulation sickness analysis showed thatthe current VR teaching modules need some adjustments. The analysis of the systems usabilityand user experience of the module were found to be acceptable. In phase III of the research, wewill improve the VR module to make a full self-paced tutorial where the instructor’s role will bemore facilitator than an instructor.References[1] B. Dalgarno, A. G. Bishop, W. Adlong, & D. R. Bedgood, (2009). “Effectiveness of a virtual laboratory as a

Conference Session

Innovative Teaching Methods in IE Education

Collection

2006 Annual Conference & Exposition

Authors

William Scheller, Kettering University; Tony Lin, Kettering University

Tagged Divisions

Industrial Engineering

Factors Low (-1) High (+1) Insert Geometry (A) Normal Wiper Cutting Speed (B) 800 SFM 900 SFM Feed Rate (C) 0.006 in/rev 0.008 in/rev Depth of Cut (D) 0.050 in 0.075 inThe tools used by the students were Kennametal CNMG 12 04 08 FW and FNinserts. The geometries represent different chip breakers, where FW is a wiperinsert designed to produce a better surface finish. Inserts were finishing inserts ofKC9110 grade. Separate tool edges were used for each cutting speed. Themachining operation was performed on 2 inch (5.08 cm) bars of 1045 steel. Priorto the performing the experiment, bars were cut to length, faced

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Karen M. Bursic, University of Pittsburgh

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

, introduced the same course material, and students were given the samehomework assignments, quizzes, and exams. Clickers were introduced in the experimentalsection but not in the two comparison sections. The experimental section (fall, 2011) consistedof 67 industrial engineering students and while comparison section A (fall, 2010) also consistedof only industrial engineering students (61 students enrolled), comparison section B (fall, 2011)consisted of 69 students that were primarily civil engineers but also included students frommechanical, computer, and electrical engineering. In addition, while both the experimental andcomparison section A were taught in two one hour and fifteen minute lectures per week,comparison section B was taught in one two

Conference Session

Industrial Engineering Division Technical Session 3

Collection

2016 ASEE Annual Conference & Exposition

Authors

Angelica Burbano, Universidad Icesi

Tagged Divisions

Industrial Engineering

the Industrial Engineering (IE) program cover the knowledge, skills,and abilities required for Icesi’s students to achieve the program’s PEOs within a few years aftergraduation. These outcomes are based on ABET definitions for student outcomes. The studentoutcomes for the IE program are: a) an ability to apply knowledge of mathematics, science, and engineering b) an ability to design and conduct experiments, as well as to analyze and interpret data c) an ability to design a system, component, or processes to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability and sustainability d) an ability to function on multidisciplinary teams

Conference Session

Improving course effectiveness

Collection

2013 ASEE Annual Conference & Exposition

Authors

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

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

positive outcomes shown in the literature that are particularlyrelevant to us are: a. Students retain what they have learned over a long period of time (Dochy et al.1). b. Students can generalize what they have learned to other areas in related fields (Patel et al10). c. Students are encouraged to be curious (Hmelo-Silver et al.5). d. Students gain more domain knowledge (Mergendoller et al.8). e. Students are encouraged to think simultaneously rather than sequentially and question prior learning (Gallow3).It is necessary to explain how these claimed benefits can result from using PBL. PBL forcesstudents to think on their own. Very importantly PBL helps them recognize that many conceptsin IE were

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Justine M. Chasmar, Clemson University; Brian J. Melloy, Clemson University; Lisa Benson, Clemson University

Tagged Divisions

Industrial Engineering

. Thepresentation should focus less on note taking strategies and more on ways to transforminformation, with supplemental readings attached. The addition of the “supplement” part of theStudy Cycle appeared to be extremely valuable as students self-reported use of campusresources, peers, TA’s, and professors as a result of this section and could use more time.References1. Freedman, M. The passage through college. J. Soc. Issues 12, 13–28 (1956).2. Schreiner, L. A. & Pattengale, J. Visible Solutions for Invisible Students: Helping Sophomores Succeed. (2000).3. Tobolowsky, B. F. & Cox, B. E. Shedding light on sophomores: an exploration of the second college year. (2007).4. Hunter, M. S. et al. Helping sophomores succeed

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

% IE version A MfgE Version A (8.8%) (8.8%) 64.4% 64.4% IE Version B MfgE Version B (8.9%) (9.0%) 63.2% 66.7% IE Version C Mfge Version C (7.9%) 7.7% 65.3% 67.1% All IE versions All MfgE

Conference Session

Integrating Research

Collection

2012 ASEE Annual Conference & Exposition

Authors

Kellie Grasman, Missouri University of Science & Technology; Suzanna Long, Missouri University of Science & Technology; Sean Michael Schmidt, Missouri University of Science & Technology

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

AC 2012-3147: HYBRID DELIVERY OF ENGINEERING ECONOMY TOLARGE CLASSESKellie Grasman, Missouri University of Science & Technology Kellie Grasman serves as an instructor in engineering management and systems engineering at Missouri University of Science and Technology. She holds graduate degrees in engineering and business admin- istration from the University of Michigan and began teaching in 2001 after spending several years in industry positions. She was named the 2011-12 Robert B. Koplar Professor of Engineering Management for her achievements in online learning. She serves as an eMentor for the University of Missouri System and earned a Faculty Achievement Award for teaching.Dr. Suzanna Long, Missouri

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Philip Appiah-Kubi, University of Dayton

Tagged Divisions

Industrial Engineering

= 0.05 level, hence their inclusion inthe model.For the second exam, the coefficient of the independent variable and the constant are againstatistically significantly different from zero (p < 0.05) at α = 0.05 level, leading to the predictivemodel: 1 P(Y )  ( 2.485 2.485X ) (4) 1 eFrom exam 2, the probability that an effective cheat sheet aided in a student scoring an above-average score was approximately 92.31%. Furthermore, the Exp(B)s in table 1 and table 2indicate that

Conference Session

Instructional Design

Collection

2012 ASEE Annual Conference & Exposition

Authors

Naveen Seth, New Community College at CUNY; Donald P. O'Keefe, Farmingdale State College

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering, Systems Engineering

ork. The estim mates repressent “planneed value” forr a task and aarecompared d with actuaal value that is i accountedd for while trracking prodduction whenn the taskcommencces. The proj oject manageer collects job b tickets from the site thhat show ratee of productiionfor the taask. The dataa tells them if i they are unnder or over budget or ahhead of or behind scheddule.The impo ortance has always a been stressed thaat project maanagers shouuld be aware of how theproject was w estimated d in case anyy changes occcur.Data thatt is proprietaary or that is acquired thrrough a subsscription fee can presentt a barrier

Conference Session

IE Curriculum Design

Collection

2007 Annual Conference & Exposition

Authors

Sima Parisay, California State Polytechnic University-Pomona

Tagged Divisions

Industrial Engineering

Page 12.580.4in the repair shop, and eventually associating this with some monetary amount.• When using Decision tree, it is required to prepare a summary table of sensitivity analysis.This summary table should highlight a possible turning point in the decisions. The importance ofdecision turning point should be discussed from a practical perspective. A sample summarytable is in Appendix B.• When using Decision tree, there needs to be an adequate explanation of the expected value ofreturn from practical point of view. For example, expected return is not the amount of returnafter one trial.I prepared a table, called “Insights into the queuing theory" which compares three queuingmodels with respect to their input information, output information

Conference Session

IE Program Design II

Collection

2007 Annual Conference & Exposition

Authors

Bin Wu, University of Missouri, Columbia; Cerry Klein, University of Missouri; Michael Hosokawa, University of Missouri; Karen Cox, University of Missouri; Beilei Zhang, University of Missouri

Tagged Divisions

Industrial Engineering

21st Century, National Academy Press: Washington, D.C. 3. Wu, B., C. Klein and T. Stone, 2006, “Healthcare Systems Engineering – an Interdisciplinary Approach to Achieving Continuous Improvement”, International Journal of Electronic Healthcare, Feb. 2006. 4. National Academies Press, 2005, Building a Better Delivery System: a New Engineering/Health Care Partnership, at: http://www.nap.edu/books/030909643X/html. 5. Wu, B., 1994, Manufacturing Systems Design and Analysis – Context and Contents, Chapman and Hall, 2nd Ed., London. 6. Wu, B., 2001, Handbook of Manufacturing and Supply Systems Design – From Strategy Formulation to System Operation, Taylor and Francis: London

Conference Session

IE Program Design II

Collection

2007 Annual Conference & Exposition

Authors

Terri Lynch-Caris, Kettering University; Benjamin Redekop

Tagged Divisions

Industrial Engineering

1- 2- 3- 4-Module 1 Technology, the environment and industrial ecology a. The history of the environmental impacts of industry. b. The history of the social/ethical impacts of industry. c. Environmental Ethics - moral and ethical dimensions of our interaction with the natural environment. Figure 1. Excerpt from the Pre-Test Knowledge Self AssessmentConclusionsFirst course offering

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

Julie Ann Layton, Rensselaer Polytechnic Institute; Thomas Reed Willemain, Rensselaer Polytechnic Institute

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

.,gender, number of previous statistics courses). Later, final exam grades were added to thedataset. Each record was de-identified and given a random identification number based on thestudent’s current course (e.g., MAU04 or QC12). Since the experiments were embedded withina normal course format, student subjects are unlikely to have perceived an extraordinary stress,which in any case should be less than that of a conventional course requirement (e.g., classassignments), particularly since performance on these exercises was not used in a calculation ofthe course grade. The experimental stimulus selected was the Web Visitors exercise (SeeAppendices A and B). It was chosen because of its relative simplicity, open-endedness, andcompatibility with the

Conference Session

Innovative IE Course Content

Collection

2013 ASEE Annual Conference & Exposition

Authors

John P. Mullen, New Mexico State University

Tagged Divisions

Engineering Economy, Engineering Management, Industrial Engineering

to the publisher and gets four new copies for the coming month. On the average,how many copies of Fantastic Fireflies will Sam sell per month? a) Four copies b) Between three and four copies c) Three copies d) Fewer than three copiesTypically, very few, if any, students initially select the right answer (d). Students are guided tothe correct answer through an interactive discussion. Two arguments I often follow up with are:Argument 1: A characteristic of the Poisson distribution is that the demand in any month can beany non-negative integer value, so in some months the demand will be greater than four copies.However, Sam can sell no more than four, so in those months, the number Sam sells will be lessthan the demand and that

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2016 ASEE Annual Conference & Exposition

Authors

Terri M. Lynch-Caris, Kettering University; Letitia M. Pohl, University of Arkansas

Tagged Topics

Diversity

Tagged Divisions

Industrial Engineering

8. Manufacturing, Production, and Service Systems: 8–12 questions 9. Facilities and Logistics: 8–12 questions 10. Human Factors, Ergonomics, and Safety: 8–12 questions A. Hazard identification and risk assessment B. Environmental stress assessment (e.g., noise, vibrations, heat) C. Industrial hygiene D. Design for usability (e.g., tasks, tools, displays, controls, user interfaces) E. Anthropometry F. Biomechanics G. Cumulative trauma disorders (e.g., low back injuries, carpal tunnel syndrome) H. Systems safety I. Cognitive engineering (e.g., information processing, situation awareness, human error, mental models) 11. Work

Conference Session

Industrial Engineering Division Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Paul C. Lynch, Pennsylvania State University, University Park, PA; Cynthia Bober, Penn State University; Jennifer Louise Mines, The Pennsylvania State University

Tagged Divisions

Industrial Engineering

. Page 24.379.4Table 3: Student Survey Questions for Modes of Instruction. Relevant Modes of Instruction Survey Questions 1. Of the junior level Industrial Engineering Classes listed on the previous page please select one that you found extremely satisfying: ________________________ 2. What were the primary modes of instruction in this class? Please circle all that apply. A. Blackboard Lecture B. PowerPoint Lecture C. Problem solving sessions D

Conference Session

Focus on Emerging Topics Around the World

Collection

2008 Annual Conference & Exposition

Authors

Karen Bursic, University of Pittsburgh; Kim Needy, University of Pittsburgh

Tagged Divisions

Industrial Engineering

program.Some plan to take one of the technical electives now being offered that include a travelcomponent. Still others are planning a full semester abroad. There were admittedly a number ofstudents that have chosen to satisfy the requirement with the coursework (Option B in Figure 1).It is too early in the implementation process to observe any definitive impacts of the requirementon educational outcomes and in fact, it may take several years before we can show specific Page 13.711.6“lessons learned.” When our paper is presented at the conference in June, we hope to be able toprovide further results regarding whether selection of the IE department by

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

completed. In this simulation, the participants are first presented with a set of instructions on theirtasks. To assemble the toy car, the four participants are given the tasks, respectively: (a) The selection and assembly of wheels and axels; (b) The selection and assembly of tires and rims; (c) The selection and assembly of the base; (d) The selection and assembly of sides and roof; Once the participants are ready to start, the car order along with the set of customerrequirements are presented to the participants. For example, the requirements could be: (a) vehicle must have four tires, a windshield, a steering wheel and a roof; (b) all tires must be of the small-soft type; (c) vehicle base

Conference Session

Industrial Engineering Division Technical Session 2

Collection

2015 ASEE Annual Conference & Exposition

Authors

Michael E. Kuhl, Rochester Institute of Technology; John Kaemmerlen, Rochester Institute of Technology (COE); Matthew Marshall, Rochester Institute of Technology (COE); Jacqueline R. Mozrall, Rochester Institute of Technology (COE); Jodi L. Carville, Women in Engineering at Rochester Institute of Technology

Tagged Divisions

Industrial Engineering

and science concepts for solving real-world industrial engineeringproblems.Relevant Education in Math and Science (REMS) (http://www.rit.edu/kgcoe/rems ) is anoutreach program established by the Kate Gleason College of Engineering at Rochester Instituteof Technology (RIT). REMS is a program designed to use real-world industrial engineeringproblems to make 5th – 12th grade math and science fun and meaningful for students. The goalsof the REMS program are to: (a) create an effective math and science curriculum for grades 5–12with a hands-on industrial engineering focus; (b) increase the number of 5th – 12th grade mathand science teachers using age-appropriate teaching modules linking math and science to real-world industrial engineering