AC 2007-273: CAN LEAN MANUFACTURING BE APPLIED TO UNIVERSITYLABORATORIES?Shirish Sreedharan , University of MissouriFrank Liou, University of Missouri Frank Liou is a Professor in the Mechanical Engineering Department at the University of Missouri-Rolla (UMR). He currently serves as the Director of the Manufacturing Engineering Program at UMR. His teaching and research interests include CAD/CAM, rapid prototyping, and rapid manufacturing. He has published over 100 technical papers and has research grants and contracts over $8M. Page 12.340.1© American Society for Engineering Education, 2007 Can
AC 2007-99: MICRO-MANUFACTURING IN THE CLASSROOM ANDLABORATORYDavid Wells, North Dakota State University David L. Wells has been Professor of Industrial and Manufacturing Engineering at North Dakota State University since January 2000. He teaches undergraduate and graduate courses in process engineering and production engineering systems design for conventional manufacturing, electronics assembly and micro-manufacturing. His active research lies in micro-assembly, micro-machining, PCB process engineering, printed electronics, applications of RFID technologies, quantitative manufacturing management and manufacturing engineering pedagogy. He is active in SME, ASEE, SMTA, IEEE and ABET. Prior
AC 2007-2822: LAMPSHADE GAME FOR TEACHING LEAN MANUFACTURINGErtunga Ozelkan, University of North Carolina-Charlotte Ertunga C. Ozelkan, Ph.D., is an Assistant Professor of Engineering Management and the Associate Director of the Center for Lean Logistics and Engineered Systems at the University of North Carolina at Charlotte. Before joining academia, Dr. Ozelkan worked for i2 Technologies, a leading supply chain software vendor in the capacity of a Customer Service and Global Curriculum Manager and a Consultant. He also worked as a project manager and a consultant for Tefen Consulting in the area of productivity improvement for Hitech firms. Dr. Ozelkan holds a Ph.D. degree in Systems and
AC 2007-1539: CONCEPTUAL DESIGN ENVIRONMENT FOR AUTOMATEDASSEMBLY LINE – FRAMEWORKSheng-Jen Hsieh, Texas A&M University Dr. Sheng-Jen (“Tony”) Hsieh is an Associate Professor in the College of Engineering at Texas A&M University. He holds a joint appointment with the Department of Engineering Technology and the Department of Mechanical Engineering. His research interests include engineering education, cognitive task analysis, automation, robotics and control, intelligent manufacturing system design, and micro/nano manufacturing. He is also the Director of the Rockwell Automation laboratory at Texas A&M University, a state-of-the-art facility for education and research in
AC 2007-92: DESIGN PANEL: A TOOL FOR ASSESSMENT IN DESIGN COURSESDave Kim, Washington State University-Vancouver Dr. Dave (Dae-Wook) Kim is an Assistant Professor of School of Engineering and Computer Science at Washington State University Vancouver. He received his Ph.D. from the University of Washington, Seattle, and his M.S. and B.S. at Sungkyunkwan University, Korea. His teaching and research interests include manufacturing processes, composite materials, and mechanical behavior of engineered materials.Hakan Gurocak, Washington State University-Vancouver Hakan Gurocak is Director of School of Engineering and Computer Science and Associate Professor of Mechanical Engineering at Washington
Department where he teaches 3D Design Principles and 3D Computer Modeling. Professor Radermacher specializes in three-dimensional problem solving and multiple-material construction techniques. His research activity primarily focuses on themes of technology, consumerism and personal identity. He creates objects and sculpture that question product marketing, consumer attitudes and social formations. Professor Radermacher exhibits his work in national venues including the S.O.F.A. expositions in New York and Chicago. Professor Radermacher is an active member of the “Foundations in Art: Theory and Education” organization and the College Art Association
andplanned non-residential summer camp. Students were introduced to the micro and nano conceptswith a presentation. They were assigned homework task to list miniaturized components that gointo devices being used in their daily life. Further the authors coordinated a laboratory visit toCAMSS and demonstrated micro-drop fabrication with assistance from graduate students.6. Evaluation of Micro and Nano Course ModulesThe micro and nano lecture modules were evaluated based on two measures namely; (1) Pre andpost learning surveys and (2) NCA&TSU teaching evaluations for the two courses. The learningsurvey included a total of 7 multiple choice questions. The surveys were administered for apopulation size of 25 students from the INEN 324: Computer Aided
with the 2007 data averaging of 23 new studentsper program as compared to the 13.6 students per program in 2005.The number of full time faculty primarily teaching manufacturing courses declined slightly overthe two surveys, from an average of 3.8 per program in 2005 to 3.6 per program in 2007, or adecrease of 5%. The number of laboratories devoted to manufacturing stayed essentially stableover the surveys, with an average 4.3 per program in 2005 and 4.4 per program in 2007.Industry ties or an industry focus were reported as a key to enrollment increases. Themanufacturing industrial base in the each program’s area of influence was reported as essentiallystable. The primary industries influencing MET programs were reported to be automotive
theengineering field, is a key factor in the advancement of this discipline. CIM laboratory stronglysupports manufacturing engineering curriculum to fulfill some of the ABET requirements forcriteria: (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 process to meet desired needs, (k) an ability touse the techniques, skills, and modern engineering tools necessary for engineering practice.Some key components of CIM and hierarchy of operation in a manufacturing facility are studiedand correlated. They include CAD-CAM link, numerical control, automation, production andmanufacturing control, control through proper communication and computer supervisory control,robotics
, includeteaching fundamental, traditional topics using new methods, approaches, and strategies.Statistics is a skill that is essential for all engineering and technology professionals, but has notbeen overly emphasized over the years. Many graduates will frequently need to use these toolsonce they enter the workforce. This is especially true for those involved in research anddevelopment as well as testing and validation activities. Basic and applied statistics is key toanalyzing laboratory studies, deciphering what the data mean, and discerning trends andpatterns1. Even so, the teaching of statistics to engineers has been the subject of only a fewstudies in recent years2-4. Essential statistics topics should include independent and dependent
AC 2007-263: INDIVIDUAL PROJECT-BASED APPROACH TO DEVELOPRESEARCH APTITUDE IN MANUFACTURING ENGINEERING STUDENTSJitendra Tate, Texas State University-San Marcos Dr. Jitendra S. Tate is an Assistant Professor in the Department of Engineering and Technology at Texas State University-San Marcos. He teaches courses in Materials Engineering, Plastics and Composites Manufacturing, Engineering Design Graphics, and Computer Aided Engineering. His research interests include low cost manufacturing of composites, mechanical characterization of composites under static and dynamic loading, fatigue life prediction modeling, finite element analysis, CADD, and statistical analysis. He is a member of several
AC 2007-2211: A COST-EFFECTIVE AUTOMATION AND ROBOTICS LABJohn Anderson, Oregon Institute of Technology Page 12.25.1© American Society for Engineering Education, 2007 A Cost Effective Automation & Robotics LabAbstractMuch work has been published in the area of design of laboratory exercises and facilities tosupport teaching robotics and automation. New opportunities are becoming available, however,to allow laboratory facilities that are portable, have applications to a wide range of subjects, andare inexpensive.A large software manufacturer has recently entered the robotics software arena with a uniqueapproach. They are supporting small hobby class robots
experiment results suggest that online laboratory learning can be substantiallyenhanced by the use of even the simplest form of artificial graphical information and moststudents prefer having an instructor present even the lab is taught online. The implications fromthis study can be used to benefit many schools that begun offering online lab courses.I. Introduction A current trend for manufacturing industry is shorter product life cycle, remotemonitoring/control/diagnosis, product miniaturization, high precision, zero-defect manufacturingand information-integrated distributed production systems for enhanced efficiency and productquality1-6. In tomorrow’s factory, design, manufacturing, quality, and business functions will befully integrated
associate professor (1979-87); Tuskegee University as assistant professor of mechanical engineering (1976-78), and Jackson Engineering Graduate Program as adjunct faculty (1975-76). Over the period 1980-85, he was employed in summers and academic years at Jet Propulsion Laboratory (JPL) of California Institute of Technology and IBM. He worked in HVAC industry with B&B Consulting Engineers (1975-76). He earned his B.E. (Mechanical) degree from Sardar Patel University in India in 1970. Upon immigrating to USA, he earned his M.S. (1972) and his Ph.D. (1975), both in Mechanical Engineering from Mississippi State University. His specialty areas of interest include renewable energy, biomedical
Strength of Sophomore level Materials core requirement Figure 1. Course Relation to Other CoursesThus, students are expected to have fundamental knowledge of engineering material properties,both macroscopic and microscopic, before taking this manufacturing processes course. TheENGR 220 course is a typical first course in engineering solid mechanics. The ENGR 310course has a laboratory component which includes activities on materials testing and processingof materials to affect properties. Both of these courses are core program required courses.Text SelectionAfter reviewing several excellent textbooks, the author/instructor deemed it beneficial to use atext that placed
AC 2007-100: ON THE STRUCTURE AND CHARACTER OF GRADUATEEDUCATION IN MANUFACTURINGDavid Wells, North Dakota State University David L. Wells has been Professor of Industrial and Manufacturing Engineering at North Dakota State University since January 2000. He teaches undergraduate and graduate courses in process engineering and production engineering systems design for conventional manufacturing, electronics assembly and micro-manufacturing. His active research lies in micro-assembly, micro-machining, PCB process engineering, printed electronics, applications of RFID technologies, quantitative manufacturing management and manufacturing engineering pedagogy. He is active in SME, ASEE, SMTA
AC 2007-528: IMPLEMENTING MACHINING OF FIBER REINFORCEDPOLYMER COMPOSITES TO MANUFACTURING COURSES IN 2 YEAR AND 4YEAR PROGRAMSDave Kim, Washington State University-Vancouver Dr. Dave (Dae-Wook) Kim is an Assistant Professor of School of Engineering and Computer Science at Washington State University Vancouver. He received his Ph.D. from the University of Washington, Seattle, and his M.S. and B.S. at Sungkyunkwan University, Korea. His teaching and research interests include manufacturing processes, composite materials, and mechanical behavior of engineered materials.Michael Flaman, Portland Community College Mr. Mike Flaman is an instructor and the Department Chair of Machine Manufacturing
sequence in whichstudents synthesize knowledge and skills learned in the previous courses. In the first course(EET-400, Project Management), students research, plan and develop a project proposal. In thesecond course (EET-410L, Senior Project Laboratory) students implement the project plan bybuilding and testing a prototype. A typical project involves a solution to a software/hardware-based engineering problem. The process of developing and implementing a solution to theproblem offers a learning opportunity for students to gain new insights and competencies as aresult of “constructivist” and “deep learning” teaching/learning approaches. According to the Thesaurus of ERIC Descriptors,3 constructivism is a "viewpoint inlearning theory which
Associate Professor in the Department of Industrial Technology. He teaches a junior-level course in Automatic Identification and Data Capture (AIDC), and two graduate-level courses, Biometric Technology and Applications, and AIDC for the Enterprise. He is the past Vice Chair of the International Committee for Information Technology Standards, and has been the Head of Delegation for the WG1 Vocabulary working group within the ISO/IEC JTC 1 SC37 committee on Biometrics. Dr. Elliott is the head of the Biometrics Standards, Performance, and Assurance Laboratory at Purdue University. He is also involved in educational initiatives for the American National Standards Institute, and is a member of