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Lizabeth T. Schlemer, California Polytechnic State University, San Luis Obispo
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Industrial Engineering
teaches a wide range of subjects from Engineering Economy to Facilities Planning and Design. She has developed good relation- ships with local industry and provides her students with opportunities to participate in real projects for real clients. Page 22.438.1 c American Society for Engineering Education, 2011 Design projects with out-of town companiesAbstractThe capstone design class in the industrial engineering department at California PolytechnicState University, San Luis Obispo (Cal Poly) includes projects with companies. The projects arelarge ambiguous facilities
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Jo Min, Iowa State University; Wenbo Shi, Iowa State University
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Industrial Engineering
Global Supply Chain Project Abstract In this paper, we describe a learning improvement initiative centered on a productionsystems course project. This initiative addresses strategic production planning of ahypothetical global supply chain with contemporary environmental and energy consequences.The quantitative problems of this project are to be formulated and solved by student teamswhere each team member assumes a unique position of responsibility. They are: domestic andoff-shore plant managers, a logistic manager, and an environment and energy manager. Givenspecific responsibilities for each managerial position, in solving a series of quantitativeproblems where the leadership of each project team
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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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Industrial Engineering
Page 22.932.4Technologist. One expert was enlisted via an e-mail request; the other via a long-termresearch collaboration. These experts provided comments and suggestions on reports and alsoserved as external reviewers during project presentations and a follow-on oral examinationportion of the senior capstone project. Expert feedback also provided both encouragement andconfirmation of students‟ efforts during the course of the semester. Faculty reported that thementors and experts complemented the learning and design processes of the student teams.The System Engineering tools improved project outcomes and are planned for future use aspart of the continuous improvement plan.The fourth class was an integrated product development course. The aim
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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
of a set of structured activities to help increase education and research inrenewable energy systems.For the education component, a systems approach for curriculum development is used. The newcurriculum on Energy Sustainability provides an overview of the major energy flows and theissues associated with production and end-use. Major current sources of energy include fossilfuel, hydroelectric, nuclear power, and wind energy. In the research component, a Pair-2-learn(PAL) model is used to form teams of undergraduate and graduate students to work in specificresearch projects. In the outreach component, different lesson plans are developed for highschool teachers participating in the UTeach Miners program. The products provided under
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Phillip R. Rosenkrantz, California State Polytechnic University, Pomona
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Industrial Engineering
. Page 22.1544.4These results can be summarized as follows:Highest use (>70%)- Problem identification Flow charts FMEA Pareto chartsNext highest (40%-70%) - Problem solving Mistake proofing Benchmarking Cause and effect diagramsLowest (<40%) - Product development/system planning Critical Path Method (CPM) Quality Function Deployment (QFD)Corporate Use of Statistical Methodologies (based on % high + very high)Figure 2. Pareto Chart of Highest Corporate Use of Statistical Methodologies. Numbers abovebars are number of responses.These results can be summarized as follows:Highest use (> 70%): Process Capability Repeatability and Reproducibility (R & R) Capability analysisNext
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Abhijit Gosavi, Missouri University of Science & Technology; Jane M. Fraser, Colorado State University, Pueblo
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Industrial Engineering
, industrial engineering and the related discipline of operations managementjargon appear to be using buzzwords liberally; see Heizer et al.8 for a recent article onoperations management. Three of the commonest ones in current usage are: supplychains (or supply chain management), lean manufacturing (or lean), and Six Sigma.Some buzzwords have originated from abbreviations (acronyms) for phrases with threeterms: MRP (Materials Requirement Planning), JIT (Just In Time), MTO (Make toOrder), MTS (Make to Stock), TQM (Total Quality Management), TPM (Total Page 22.1587.3Productive Maintenance), FMS (Flexible Manufacturing Systems), DFT (Demand FlowTechnology
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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
solutions to their models andformulations via assistance of software. Once, these solutions were obtained they had toimplement them within the game. These solutions gave them insights into the amount ofeach crop to plan in order to realize higher profits or experience points, and include fixedcosts of beautification. Finally, component 3 consisted of students focusing on the evolution of theproblem during a period of one month. Thus, each student was required to keep a“farmer’s log,” which was to be a table consisting of each implementation of the gamewhere key changes had occurred. The students were asked to maintain informationregarding addition of variables, constraints, shifts in policy, and model modifications. Inaddition, students had
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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
, inventory management, transportation, andproduction control/scheduling systems. The model was used as a tool to quantify the impact ofimplementing lean manufacturing techniques during the planning and evaluation stage. Themodel generated resource requirements and performance statistics for the current and proposedsystems. These example applications indicate that computer simulation can be effective inpromoting systems understanding of the impacts of lean implementation. However, as computersimulation of lean environments has not yet been expanded to educational settings, there issignificant scope for work in this area. The proposed simulation modules and virtualenvironment to be designed and implemented in this research support the development