include future aspects of Lean Production Systems and Lean Management.Dr. Craig G Downing, Rose-Hulman Institute of Technology Craig G. Downing is Department Head and Associate Professor of Engineering Management at Rose- Hulman Institute of Technology. His teaching responsibilities are focused on delivering graduate-level instruction related to Operations and Quality Systems. His interests are rooted in Academic-Industrial partnerships, Process Improvement, and Action Research in Engineering Management. Further, serves as one of the champions for leading the campus entrepreneurial initiatives. He is a certified Lean Six Sigma Master Black Belt. c American Society for Engineering Education
Projects”. Dr. Merino received two Centennial certificates from the ASEE in Engineering Economics and Engineering Management. He is past Chair of the Engineering Management Division and Engineering Economy Division of ASEE. Dr. Merino was awarded the ASEM and ASEE Bernard Sarchet Award. He is an ASEM and ASEE Fellow and past president of ASEM. Dr. Merino has 25 years of industrial experience in positions of increasing managerial / executive responsibilities. Since joining academe 24 years ago, he has published 32 refereed journal articles and conference papers and over 50 research reports. Address: c/o School of Systems and Enterprise Stevens Institute of Technology, Hoboken
Centennial certificates from the ASEE in Engineering Economics and Engineering Management. He is past Chair of the Engineering Management Division and Engineering Economy Division of ASEE. Dr. Merino was awarded the ASEM and ASEE Bernard Sarchet Award. He is an ASEM and ASEE Fellow and past president of ASEM. Dr. Merino has 25 years of industrial experience in positions of increasing managerial / executive responsibilities. Since joining academe 24 years ago, he has published 32 refereed journal articles and conference papers and over 50 research reports. Address: c/o School of Systems and Enterprise Stevens Institute of Technology, Hoboken, New Jersey, 07030 Work
University of Science & Technology Suzanna Long is an Assistant Professor with the Department of Engineering Management and Systems Engineering at Missouri University of Science & Technology (formerly University of Missouri, Rolla). She holds a Ph.D. and an M.S. in engineering management, B.S. in physics, and a B.A. in history from the University of Missouri, Rolla (UMR), and an M.A. in history from the University of Missouri, St. Louis. Her research interests include strategic management of sustainable supply chain partnerships, transportation-logistics, supply chain management, engineering education, and organizational analysis.Sean Michael Schmidt, Missouri University of Science & Technology
industrial and systems engineering and engineering manage- ment and a 2009-10 Gray Faculty Fellow at the University of Alabama, Huntsville. Her research interests are in applying statistical analysis and optimization to supply chain management, transportation man- agement, and engineering education. She holds a B.S. in industrial engineering (Lehigh University), a master’s in business administration (Penn State University), a M.S. in industrial engineering (University of Pittsburgh), and a Ph.D. in industrial engineering (University of Pittsburgh). Address: N149 Technol- ogy Hall, The University of Alabama in Huntsville, Huntsville, AL 35899; Phone: (+1) 256-824-6637; Fax: (+1) 256-824-6733; Email: gillian.nicholls
Paper ID #15880An Innovative Approach to Offering a Global Supply Chain Class for Engi-neering Managers in an International ContextDr. S. Jimmy Gandhi, California State University, Northridge Dr. S. Jimmy Gandhi is an assistant professor at California State University, Northridge. His research interests and the courses he teaches includes Quality Management, Lean Manufacturing, Innovation & Entrepreneurship,Sustainability as well as research in the field of Engineering Education. He has over 30 conference and journal publications and has brought in over $500K in research grants to The California State University
Paper ID #16671How to Find Systems ThinkersDr. Raed Jaradat, Mississippi State University Raed M Jaradat is an Assistant Professor of Industrial and Systems Engineering at Mississippi State University. His main research interests include engineering management, systems engineering and man- agement systems, systems thinking and complex system exploration, systems simulation, risk and vulner- ability in critical infrastructures with applications to diverse fields ranging from the military to industry. He is a past proceedings chair of the American Society for Engineering Management. He holds a PhD in Engineering
solution process is more important than the finalproduct.”Barrows4, doing research in the medical education field in the 1980’s, stated that problem-basedlearning can have many different meanings, depending on the skills of the teacher and theeducational learning objectives being pursued. In the medical field, existing cases taken from themedical research literature are an important part of the educational process. Barrows saw that ataxonomy was needed to help differentiate the many types of case-based learning processespossible. The taxonomy ranges from cases explained mostly via lecture, through looking at acase from beginning to end, applying lessons learned, and starting back at the beginning of thecase again, to see is a different approach to
. (2006)3 and Albritton et al. (2003)4 have identified formulation as one of the maintopics being covered in linear optimization courses. Hosein et al. (2006)3 identified formulationas the common topic among hard-pure (e.g. mathematics), hard-applied (e.g. engineering), andsoft-applied (e.g. business) disciplines teaching linear optimization courses with an intensityvarying between 3.2 and 3.5 hours. However, their research did not present the methodologyused to present the topic of formulation.Most of the research on teaching linear optimization has been devoted to develop new andinnovative ways to teach the Simplex method, one of the two main methods used to solve linearoptimization problems. This initial research tries to improve the
conceptual discussions.Problem definitionTo overcome that deficiency, to improve teaching, and enhance learning of students, instructorshave over time developed novel and innovative concepts [7] that include, but are not limited, to: 1. Course projects Page 25.231.2 2. Software assignments 3. Journal reading and research 4. Online help, class handouts, and other ancillary materials.However, most of such efforts rely on instructor’s experience and his/ her desire and initiative toimprove teaching skills. Since many OR instructors are not familiar enough with the vastresources available in the area of student learning, they usually do not
2006-580: ASYNCHRONOUS COLLABORATION: ACHIEVING SHAREDUNDERSTANDING BEYOND THE FIRST 100 METERSRaghvinder Sangwan, Pennsylvania State University Dr. Raghvinder S. Sangwan is an Assistant Professor of Information Science in the School of Graduate Professional Studies at the Pennsylvania State University. He currently teaches software engineering to professional graduate students from Fortune 500 companies such as Boeing, Lockheed Martin, Merck, Siemens, and Unisys. Dr. Sangwan is a Consulting Member of Technical Staff at Siemens Corporate Research, with over seven years of experience in software engineering research and development. Formerly, he was a lead architect at Siemens Medical, where
effectiveness methods, intra and entrepreneurial skills, and teaming and groupdynamics practice. The primary traditional departments that were partnered in this effortincluded Electrical Engineering, Mechanical Engineering, Chemical Engineering, Physics,Chemistry, and Management.This educational experiment was supported initially by a NSF small group research grant,followed by a 1999 NSF Integrative Graduate Education and Research Training (IGERT) grantand a 2000 Department of Education Fund for Improvement of Post Secondary Education(FIPSE) grant. The microEP program has since won a three year NSF Research Experience forUndergraduate (REU) site and then five year extension, a five year NSF Graduate Student in K-12 Education (GK-12) grant and then five
effectivecommunication skills in both classes. This approach enabled the research team to assess theimpact of inductive teaching methodology on student communication skills. The researchers utilized a codebook previously developed by one of the authors usingseveral a priori codes derived from the theoretical model, research question, research hypothesis,and results of the previous research in the first phase of the pilot study [15]. Two independentcoders used the codebook to complete the initial round of coding of five journals. Importantly,these coders did not participate in the earlier stages of the project and, therefore, did not have anyresearch-related biases in data coding. After the initial round of coding was completed, theresearch team discussed
theoretical framework to many of these extant findings.We include specific management prescriptions for teaching and implementing the tenets of theframework to future and current leaders. Finally, we offer future research questions as additionalguidance to those interested in studying innovation management.Overview of Organized Innovation Formally defined, Organized Innovation is “a systematic method for leading thetranslation of scientific discoveries into societal benefits through commercialization” (p. x [fromthe Preface])85. It is a plan for managing complex innovation efforts, from initial research ideasthrough commercialization execution. It is meant to be a blueprint for leaders, providingpractical guidance about how to manage large
, an image, or any other response a person has to a prompt. A prompt would bethe initial question and could be anything from “Tell us about your experience learning incollege”, to “Tell us about your experience with a specific piece of material within yourengineering design course”, to “Why did you enroll in program?” The prompt is directly tailoredto the scope of the research question and aims to provide information in the larger context ofwhere that phenomenon occurs [21]. There are two primary mindsets used in NA, “ParadigmaticNarrative Analysis” and “Alternate Narrative Analysis.” A principal investigator with theparadigmatic mindset treats all captured narrative as a collective pool of information and has thegoal of identifying common
Paper ID #11795The Development Process towards achieving a Framework for IncorporatingVirtual Teams into Projects in Engineering CoursesDr. S. Jimmy Gandhi, California State University, Northridge Dr. S. Jimmy Gandhi is an assistant professor at California State University, Northridge. His research interests and the courses he teaches includes Quality Management, Lean Manufacturing, Innovation & Entrepreneurship,Sustainability as well as research in the field of Engineering Education. He has over 30 conference and journal publications and has brought in over $500K in research grants to The California State University
Paper ID #6168Improving Generic Skills among Engineering Students through Project-BasedLearning in a Project Management CourseMs. Ana Valeria Quevedo, Universidad de Piura Ms. Ana Quevedo has a master’s of Management in Operations Research from UBC. Quevado is an Industrial and Systems Engineer with the Universidad de Piura.Dr. Ing. Dante Arturo Guerrero, Universidad de Piura Doctor of Project Management specializing in Project Planning and Management for Sustainable Rural Development, Master of Engineering with specialization in Rural Development Projects / Local from the Polytechnic University of Madrid, Masters in
regarding the necessity of ViTAS application is discussed in previoussections.Iteration -1: initial planning of ViTASIn the initial planning of the ViTAS application development, few important aspects isconsidered such as set up the development environment (research laboratory), hire theappropriate personnel (graduate assistants), buy the necessary equipments (computers, servers,printers, etc.), use of software packages (MS Visual Studio 2010, SQL server 2008 R2, MSTeam Foundation Server, etc.), and network connections to the servers. The workstations andserver connection network is designed and setup to initialize the development process shown inFigure 3. After the work stations are setup, all the necessary tools are installed in the workstations
: Engineering Manager Activity and Problem Difficulty Skill Area vs Benefit of Training 80% 70% 60% 50% Benefit 40% 30% 20% 10% 0% Little or no benefit Somewhat Beneficial Highly Beneficial Table 5: Perceived Benefit of Additional Training in an Engineering Management SkillDiscussionThe initial research presented in this paper supports the balance of Business and Engineeringgraduate courses as required by MUN’s Master of Engineering Management program.Specifically, practicing engineering managers are stating that “professional skills”, sometimesinadequately called “soft skills”, are what is
2006-588: GROWTH OF A YOUNG ENGINEERING MANAGEMENT PROGRAMYesim Sireli, University of North Carolina-Charlotte Yesim Sireli is an Assistant Professor at the Engineering Management Program at the University of North Carolina at Charlotte. She received a Ph.D. degree in Engineering Management from Old Dominion University, and also holds MSc and BSc degrees in Electrical Engineering. Her research interests include business forecasting, decision analysis, customer-oriented product development, quality management, and technology management.S. Gary Teng, University of North Carolina-Charlotte S. Gary Teng is the Director of Engineering Management Program and Center for Lean Logistics and
in technology domains, with research and curriculum addressing complex systems challenges such as product design and supply chain management ‚ The integration of technology and business perspectives in the education of graduates for positions in the management, development, and commercialization of technology ‚ The emphasis on the use of information systems and information technology as a unifying framework for the management, development and commercialization of technologyUC Santa Cruz is developing a worldwide reputation for excellence in engineering. The Schoolof Engineering (SOE) at UCSC is poised for growth, in partnership with initiatives such as theUniversity Affiliated Research Center (UARC) and
Paper ID #25106Predicting Degree Completion through Data MiningTatiana A. Cardona, Missouri University of Science and Technology Tatiana A. Cardona is a Ph.D. candidate in Systems engineering at Missouri University of Science and Technology (MS&T)from where she also received her M.S. in Engineering Management in 2006. Tatiana completed her B.S. in Industrial Engineering at Technological University of Pereira, Colombia in 2009. from the same institution. Her research interests include statistical modeling, Operations research and Data Science. She has served as a head teaching assistant for four semesters in operations
organized and fairly simple way to come up with the best outcome”Concluding RemarksIn this project-based learning study using existing labs, students were far more engaged in theprocess than during traditional segments of the course. Utilizing the PDSA cycle gave them aplatform to carry out their projects successfully. One of the objectives of this study was to showhow knowledge from the initial PDSA cycle can be used in the next cycle.The first question of this research was related to the results of the improvement to themanufacturing process. In other words, did the process improve? As indicated in the analysis ofthe designed experiments of the 3-D project, improvements were made in the cycle time andquality of the printed parts
increasing the number of students in a class. Successfully leveraging class size as aneconomy of scale strategy is dependent on the academic profile of the student population. Degreeprograms with a heterogeneous profile are more sensitive to leveraging. Figure 14, as a proxymetric for faculty release time to support research, presents number of students enrolled in classeswith class size limit of 40 and number of students enrolled in classes with class size greater than40 for the CEE 2110 course. The issue isensuring the academic success of students is notadversely affected by large class enrollments.Strategic Initiative MetricsThe following describes performancemetrics for an academic program researchinitiative. Figure 15 indicates success of
factorsimpacting completion rates among community college students.While these initial results are promising, further research should be conducted to address severallimitations of this study. Community colleges do not have admission standards; therefore, manyapplicants do not have standardized exam scores or report high school performance. The rawdata is missing many important variables for students causing the sample to shrink considerablyfor the model.The findings point to some areas of concern from the community college perspective. This is atime when many community colleges are scaling down their remedial reading courses, butreading aptitude appears to be a significant risk factor. Further research should be done todetermine the exact impact reading
Paper ID #29430The effect of different dimensions of conflict on measures ofteam-member effectivenessMr. Lawrence M Strenger, CATME Lawrence Strenger is an senior undergraduate industrial engineering student at Purdue University.Mr. Behzad Beigpourian, Purdue University-Main Campus, West Lafayette (College of Engineering) Behzad Beigpourian is a Ph.D. student and Research Assistant in Engineering Education at Purdue Uni- versity. He earned his master’s in Structural Engineering from Shahid Chamran University in Iran, and his bachelor’s in Civil Technical Teacher from Shahid Rajaee Teacher Training University in Iran, Tehran. He
departments at UMR to create a PSM degree in whichEngineering Management courses provide a portion of the foundation courses inmanagement. The development and structure of this new degree at UMR is discussedalong with the role Engineering Management has played in its creation.BackgroundThe Professional Science Master’s (PSM) degree program was initiated in 1997 by theSloan Foundation with grant funds available to universities for program development.1The motivation for this degree is based on the fundamental problem that science andmathematics based companies need individuals not only with technical backgrounds butwith business acumen. Individuals are needed who can manage research teams andinterface with the business side of the organization
importance of those factors depended on the methodology used; however,further investigation should be performed.Several limitations were present during the development of the described model. In this case, thedataset was not collected specifically for the current research. The number of variables and datapoints had to be reduced to generate a more adequate sample. This increased the risk ofoverfitting the model; thus, several combinations of the initial model parameters where tested inorder to determine the most adequate combination. Also, it is important to highlight that, whilethe study achieved a high classification performance, the data is only representative of onecommunity. Therefore, the results are not generalizable. However, the methodology
and professional develop- ment seminars for local industry on topics including forecasting, inventory control, production planning, project management, transportation logistics, procurement, and supply chain management.Dr. Leslie Pagliari, East Carolina University Dr. Leslie Pagliari serves as Associate Dean for Academic Affairs in the College of Engineering and Technology and Associate Professor in the Department of Technology Systems. Her research interests center on STEM initiatives, leadership, global supply chain issues, and new technologies in the distribu- tion and logistics sector. She was one of three professors in the United States recognized in an Inbound Logistics Article featuring leading professors in
industrialists.The institutional structure must be designed so that the survey instrument can be allowed toevolve. Initial efforts might be fairly limited, and at the other extreme surveys cannot be allowedto grow until they become a burden to respondents. One approach is an iterative three-stepprocess: (1) The assessment committee conducts a survey, (2) survey users and respondentsprovide suggestions for modifications, and (3) the committee decides which changes toimplement. The committee must be empowered so that it can make decisions without routinelyrequiring an unwieldy vote of the entire membership, and its membership should minimallyinclude persons who can provide input regarding the teaching and research components ofacademia, industrial needs, and