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Jo Min, Iowa State University; Wenbo Shi, Iowa State University
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Industrial Engineering
discussion. In each phase, student teamswere required to analyze 3 or 4 questions, and make strategic as well as tactical decisions:For example, (i) How does the company allocate the production quantities to different plants while optimizing the profit of the whole company? (ii) At what tariff and exchange rate levels should the board of managers decide to shut down the off-shore plant in China? (iii) From both economic and environmental perspectives, which transportation mode(s) should be utilized? In what quantity? In the context of these technical contents, we present how the outcome items (d), (j), and Page 22.1003.4(m
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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
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Industrial Engineering
currently being developed to enhanceundergraduate curricula to meet the industrial needs for engineers with education in lean. Thepurpose of the research is to address these expectations by developing learning modules thatincorporate lean simulation models into various Engineering Management, IndustrialEngineering, and Mechanical Engineering courses at Missouri S&T, Texas Tech, and SouthDakota State, respectively. In recent years, increasing global competition, rapidly changingtechnology, and a deficit of U.S. engineering graduates have intensified the need to producegraduating engineers who are effective problem solvers and analytical thinkers, yet who can alsocollaborate on interdisciplinary teams to address complex, real-world systems. A key
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Ivan G. Guardiola, Missouri University of Science & Technology; Susan L. Murray, Missouri University of Science & Technology; Elizabeth A. Cudney, Missouri University of Science & Technology
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Industrial Engineering
AC 2011-94: USING SOCIAL NETWORKING GAME TO TEACH OPER-ATIONS RESEARCH AND MANAGEMENT SCIENCE FUNDAMENTALCONCEPTSIvan G. Guardiola, Missouri S&TSusan L. Murray, Missouri University of Science & Technology Susan L. Murray is an Associate Professor in the Engineering Management and Systems Engineering Department at Missouri University of Science and Technology. Dr. Murray received her B.S. and Ph.D. in industrial engineering from Texas A&M University. Her M.S. is also in industrial engineering from the University of Texas-Arlington. She is a professional engineer in Texas. Her research and teaching inter- ests include human systems integration, productivity improvement, human performance, safety, project
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Dean Walton Pichette, Wayne State University; Darin Ellis, Wayne State University; Walter Bryzik, Mechanical Engineering, Wayne State University; Kyoung-Yun Kim, Wayne State University; Ming-Chia D. Lai, Wayne State University; Yun Seon Kim, Wayne State University
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improvement in the capstone courses. The first module is anintroduction to systems engineering while other modules relate to systems engineering toolsthat are taught „just-in-time‟ to support completion of the capstone design projects.Implementation Method:The SE training modules were developed by an Industrial and Systems Engineering facultymember under the consultation of the Assistant Director of Wayne State University‟s Office ofTeaching and Learning.The process began with the development of an instructional design matrix which included:Instructional Goal, Objectives, Assessment Methodology, Information Presentation, Practiceand Feedback, and the Media and Materials to be used (4). An example of an InstructionalGoal was: “Students will be able to
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Heidi A. Taboada, University of Texas, El Paso; Jose F. Espiritu, University of Texas, El Paso; Abril Vazquez, University of Texas, El Paso; Olivia C. Moreno, University of Texas, El Paso
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by the United States Departmentof Agriculture under the Hispanic-Serving Institutions Education Grants Program. The findingsand the views expressed in this paper are those of the authors and do not necessarily reflect theposition of the United States Department of Agriculture.References.1. National Academy of Engineering. (2004). The Engineer of 2020: Visions of Engineering inthe New Century.2. Ambrosio, A. M. A., Allcock, H. R., Katti, D. S. and Laurencin, C. T. (2002). Degradablepolyphosphazene/poly(α-hydroxyester) blends: degradation studies. Biomaterials, 23: 1667-1672.3. Arslan, H.; Cosgun, N. (2008). Reuse and recycle potentials of the temporary houses after
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Phillip R. Rosenkrantz, California State Polytechnic University, Pomona
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Approach - Focuses heavily on the behavior of the leader and is broken down into two areas of behaviors: (1) Task(s) - examination of task behavior and ways to facilitate task accomplishment; and, (2) Relationship(s) - it examines relationship behavior and how to make subordinates feel comfortable with themselves, with others and within situations.3. Situational and Contingency Models - Leaders need to be flexible and use different styles when leading different people or with the same person depending on the task: Directing style for people who lack competence and need direction Coaching style is for people who have some competence but lack commitment. Supporting style is for people who have competence but lack
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Abhijit Gosavi, Missouri University of Science & Technology; Jane M. Fraser, Colorado State University, Pueblo
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Industrial Engineering
AC 2011-983: USE OF BUZZWORDS IN INDUSTRIAL ENGINEERINGEDUCATIONAbhijit Gosavi, Missouri University of Science & Technology Abhijit Gosavi obtained a Ph.D. in industrial engineering from the University of South Florida in 1999. He has an MTech and BE, both in Mechanical Engineering, from IIT Madras and Jadavpur University, respectively. He joined as an assistant professor in the engineering management and systems engineering department at Missouri University of Science and Technology (S & T) in 2008. His research interests are in simulation-based optimization, production management, and industrial engineering education.Jane M. Fraser, Colorado State University - Pueblo Jane M. Fraser is chair of the
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Jose F. Espiritu, University of Texas, El Paso; Heidi A. Taboada, University of Texas, El Paso
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Industrial Engineering
34(435-439).6. Kephart K., Villa E., Gates A., and Roach S. (2007). The affinity research group model: Creating and maintaining dynamic, productive and inclusive research groups. Computer Science Department. The University of Texas at El Paso, El Paso, Texas.7. Kirkpatrick, D.L. (1998a). Evaluating Training Programs: The Four Levels. Berrett- Koehler Publishers. 2nd Edition.8. Kirkpatrick, D.L. (1998b). Another Look at Evaluating Training Programs. American Society for Training & Development.9. Lopatto, D. (2003). The essential features of undergraduate research. Council on Undergraduate Research Quarterly, 24(139-142).10. Morrison, Kathryn L. and Carol Sue Marshall. (2003) “Universities and Public Schools: Are We
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Lizabeth T. Schlemer, California Polytechnic State University, San Luis Obispo
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. (1995). The problem-based learning approach as an enhancement factor of personal meaningfulness of learning. Higher Education, 29(1), 93-101. 7. Sheppard, S. D., Macatangay, K., Colby, A., & Sullivan, W. M. (2009). Educating Engineers: Designing for the Future of the Field. San Francisco: Jossey-‐Bass 8. Ford, M. E., & Nichols, C. W. (1991). Using goal assessments to identify motivational patterns and facilitate behavioral regulation. In M. Maehr & P. Pintrich (Eds.), Advances in motivation and achievement, Vol. 7: Goals and self-regulatory processes (pp. 57–84). Greenwich, CT: JAI Press. 9. Ford, M., & Smith, P. (2007). Thriving with