Supply Chain Management Simulation Model Mohammed Shahbazuddin Mechanical Engineering Department, University of Louisiana at Lafayette Dr. Terrence. L Chambers Mechanical Engineering Department, University of Louisiana at Lafayette AbstractThis paper discusses the major classes of software that help to manage the Supply Chain. Itdescribes where, how and what exactly each of the so-called silo software operates.This paperintends to discuss the use of simulation for evaluating the supply
. This paper describes thechanges in the course content and philosophy as a result of this review. These changeshave resulted from a decision to remove most of the course “content” and focus on a very“hands-on” approach (on the instructors’ part) to managing and encouraginginterdisciplinary teams working on interdisciplinary projects. Previously the courseintroduced a variety of design related topics: the design process, oral and writtencommunications, risk analysis, ISO 9000, engineering ethics, statistics, optimization,present value analysis, and neural networks. Capstone ExperiencesAn excellent overview of engineering capstone courses in the United States is found inReference 1. Capstone design courses in
really needed by industry. Knowing that there is a real liveclient who really needs the product to be designed provides a motivating factor for thestudent at least as strong as design competitions, and results in a similar outpouring ofcreative energy. Another potential benefit is that the students make industry contacts thatmight be helpful during their job search, and become accustomed to interacting withpracticing engineers and managers. Obviously, another advantage is that solvingproblems for local industry assists the university in its economic development and publicrelations efforts, and assists the company to become more competitive. Anotheradvantage is that in some instances, the sponsoring company may pay a fee or make adonation beyond
an academic program equipped to meet the challenge of preparing students with arepertoire extensive enough to function effectively in the modern building energy industry.This paper presents an overview of the new Master of Engineering degree in Building EnergySystems Option by the Department of Mechanical Engineering at Southern University and A&MCollege. This program will address the demand of building energy managers, and energyengineers in the state of Louisiana. Our program emphasizes design, applications, laboratoryexperiments, and internship acquisition with a reputable engineering firm in the industry.The Building Energy Systems curriculum includes the components of Basic Principles ofBuilding Energy Systems, Basic Principles of
the design and production of systems.11. The beginning engineering teacher understands how students learn and develop engineering designand analysis skills and concepts, and uses this knowledge to plan, organize and implement classroominstruction and laboratory experiences to meet curricular goals.12. The beginning engineering teacher is able to create, guide, and manage classroom, field, andlaboratory activities to enable students to undertake quality hands-on project-based activities in a safe,creative environment. Table 2. Knowledge and Application Requirements for Standard 2The beginning engineering teacher integrates math, science, engineering, and other knowledgeto the solution of engineering problems.Knows and understands
2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Educationdepartment. Many of the departments within the COE designated their freshman course as thesatisfying course for the computer proficiency requirement. Students transferring betweenengineering departments would often be required to repeat the proficiency information.This duplication of information could cause other difficulties as well. Many of the facultyresponsible for the freshman courses enlist outside speakers for parts of their course curriculum.Where content overlaps, speakers often overlap as well. UTA reference librarians are oneexample of this
Commission, Accreditation Board for Engineering and Technology, Inc., Baltimore, MD 21202, December 26, 2000.3. “Curricular Analysis in the Assessment of Program Outcomes for ABET Criteria EC-2000,” by William E. Simon and T. L. Chambers, 2002 ASEE Gulf-Southwest Annual Conference, Paper IIC3, Lafayette, LA, March 20-22, 2002.WILLIAM E. SIMONDr. Simon currently serves as Professor and Head of the Mechanical Engineering Department at the University ofLouisiana at Lafayette. His research interests are in the aerospace and thermal science areas, including fuel cells,conventional and state-of-the art heat and mass transfer, thermodynamics, multidiscipline advanced developmenttechnology management, and large project management. Dr. Simon is a
Copyright 2003, American Society for Engineering Educationvisualizations and video, what the student sees, and simulations, what the students are expectedto do, needed to be linked by models in a technologically advanced classroom. The pedagogy envisioned and the classroom design for that project exceeded the available software and Learning Content Management hardware technology of a decade past. Today, much of the needed technology is becoming
framework presented in thispaper is designed to extend the findings of Lent et al (1986) and the applicability ofBandura’s self-efficacy theory to the process of students’ ability to complete theeducational requirements of various science and engineering fields.In particular, results of this framework can be used to provide a useable means forpredicting student performance in engineering programs based on measurable parameters.The resulting model, based on the possible importance of career-related self-efficacybeliefs and other career-related variables, is expected to provide an explanation of Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington
Web-Enabled Interactive Modules to Display Finite Element Models in Structural Engineering Courses Ali Abolmaali Department of Civil and Environmental Engineering University of Texas at Arlington Naveen Naveen Pendergraf Engineering Oklahoma City, Oklahoma AbstractThe need for cultivating learning environments for simulating student’s learning inundergraduate engineering programs is well established. One of the obvious reasons for lack ofstudents’ interest in selecting
Commission, Accreditation Board for Engineering and Technology, Inc., Baltimore, MD 21202, December 26, 2000.3. “Curricular Analysis in the Assessment of Program Outcomes for ABET Criteria EC-2000,” by William E. Simon and T. L. Chambers, 2002 ASEE Gulf-Southwest Annual Conference, Paper IIC3, Lafayette, LA, March 20-22, 2002.WILLIAM E. SIMONDr. Simon currently serves as Professor and Head of the Mechanical Engineering Department at the University ofLouisiana at Lafayette. His research interests are in the aerospace and thermal science areas, including fuel cells,conventional and state-of-the art heat and mass transfer, thermodynamics, multidiscipline advanced developmenttechnology management, and large project management. Dr. Simon is a
technician.If either of these two opportunities is not available, it is possible to talk with a local Fixed BaseOperator (FBO) or Airfield Manager to run an engine that is mounted on an aircraft. Again, allthe same data should be available through the cockpit instruments.The students’ assignment from the lab was to model the engine performance in the software oftheir choice. Students preferred to use the software provided with their textbook, as it was thesoftware used for their cycle design project. The textbook, Elements of Gas TurbinePropulsion7 , comes with cycle analysis software, PARA and PERF. Not much is known aboutthe PT6A engine efficiencies. This required the students to do research to find reasonable valuesfor the software. Examples of the
MicrofluidicsThe project is carried out in three parts: design, fabrication and test. The fabrication portion isintended to introduce some fundamental processes for producing microfluidic devices. The test Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright 2003, American Society for Engineering Educationportion is intended to provide hands-on experience in microscopic observation of microflows,and basics of LabView programming for device command and control. We will discuss thesebriefly below, but our main focus herein is the discrepancy between the students’ expectations inthe design phase and the results they observe in
(freshman, sophomore, junior, senior, graduate). The vast majority of students in this study were enrolled in remedial or freshman level courses. Expanding the study to include more upper level courses may reveal that Blackboard is more helpful at one level than another. 2. Instructor factor: It was noted that even among the three investigators, there was some variation in the frequency and kind of information posted. In designing a new study, the frequency and kind of information to be posted by the instructor could be established in advance. 3. Theory versus applied factor: It may be that in mathematics, engineering, and sciences the unavailability of symbols and graphing necessary for communication in
of Louisiana at Lafayette. He is interested incircuit design, robotics, neural network, and programming. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright © 2003, American Society for Engineering Education
professionals and faculty members of construction science programs believe thatconstruction graduates are not required to possess good technical writing skills.A one-sample t-test was first performed to test this hypothesis. The data measured for thevariable TECWRITE was used for the purpose. The mean scores of industry and facultyfor the variable were found to be 4.70 and 4.58 respectively. The t-test was performed onthe mean scores against a specified value of 3, which is the value for “undecided.” Theresults are shown in Table 2. Proceedings of the 2003 ASEE Gulf-Southwest Annual Conference The University of Texas at Arlington Copyright © 2003, American Society for Engineering
Engineering EducationThe Sid W. Richardson Foundation sponsored both workshops the first two summers and thestudent workshop the third summer. TXU sponsored the teachers’ workshop last summer. Bothprojects are part of an informal outreach program within the Department of Engineering, and areadministered through the TCU Institute of Mathematics, Science and Technology Education. IntroductionFor the past three summers we have presented two one-week workshops: one entitledIntroduction to Fabrication has been offered to middle and high school students, and the otherentitled Introduction to Energy Conversion and Distribution has been offered to middle schoolscience teachers. Both of these workshops have been part of
. Upon graduation, Dr.Petrosino moved to The University of Wisconsin as a McDonnell Postdoctoral Fellow through theCognitive Studies in Educational Practice (CSEP) Program. While in Wisconsin, Dr. Petrosino was acontributing member to the National Center for Improving Student Learning and Achievement inMathematics and Science (NCISLA). His research interests include the design of classroom learningenvironments, children's experimentation strategies and application of modern learning theory tobiomedical engineering education.Dr. Lawrence D. Abraham is an Associate Professor at The University of Texas at Austin in theDepartments of Kinesiology & Health Education and Curriculum & Instruction. He presently serves aschair of Curriculum &
. AcknowledgementsThe author would like to thank Mr. Brian Gerick, Machinist for Baylor University, for hisassistance in the design and construction of the turbulence generation grid. Appreciation is dueto Mr. Daniel Hromadka, Electronics Systems Manager for the Baylor Engineering Department,for providing technical assistance and ideas to improve data processing methods. Mr. Hromadkawas especially he lpful because he suggested the methods used in the experiment to transfer andstore the large data files. References1 Roach, P.E., 1987, “The Generation of Nearly Isotropic Turbulence by Means of Grids,” Heat and Fluid Flow, 8 (2), pp. 82-92.2 Simon, T.W., Van Treuren, K.W., and Byerley, A.R., 1999, “Flow Field and