Proposed assignment You are tasked to define the location for a Your boss tasks you to define the location for new manufacturing facility for your company. a new manufacturing facility for your You are offered three alternative locations: A, company. You are offered three alternative B, and C, with economic conditions X, Y, and locations: A, B, and C, with economic Z, respectively. Using conditions X, Y, and Z, respectively. Please, Break-even analysis, please choose the note that child labor is legal in location A; preferred location. employees in location B are forced to work 18 hours/day
of the ergonomic design learning module focuses on anthropometry for hand toolsdesign and discusses the importance of measurements of different hand dimensions for userssuch as hand length, finger length, hand breadth, grip/pinch force, etc. In this session, studentspractice anthropometric measurements technique using relevant measuring tools which includethe bone caliper, segmometer, anthropometric goniometer, pinch gauge, hand dynamometer, etc.Figure 3 shows the relevant anthropometric measuring tools relevant to hand tool design. (a) Bone caliper (b) Segmometer (c) Goniometer (d) Pinch gauge (e) Hand dynamometer (f) Sample hand dimensions Figure 3
ModelDepicting the ABET Engineering Criteria in this way allows us to recognize the parallelsbetween the individual Engineering Criteria criterion and the elements of ISO 9001:2015 [8].This in turn allows us to apply the tools and concepts of quality to each Criterion.Engineering Program as a Process ISO 9001:2015 “promotes the adoption of a process approach when developing,implementing and improving the effectiveness of a quality management system. The processapproach involves the systematic definition and management of processes and their interactionsso as to achieve the intended results.”[8] Such an approach enables: a. understanding and consistency in meeting requirements; b. consideration of processes in terms of added value; c
and make improvements, if needed, and (8) present project results to anaudience using written and oral formats. Figure 1. Project activities and deliverables as an integrated processThe project proposal was evaluated using a rubric (Appendix A) and detailed comments onproject scope and objectives were provided to students as a midterm feedback process. At theend of the semester, each team delivered a written report and presented a poster whichhighlighted their methods, findings and recommendations. The written reports were evaluatedby the course instructor using a project rubric (Appendix B) specifically designed for thecourse. The oral poster presentations were evaluated by a panel of judges using an oralpresentation rubric
to measure what is the impact of the students receiving training andthe model, against the ones that didn’t. In addition, we will use a mixed methods approach tocollect data qualitatively. An interview protocol is being developed based on the preliminaryresults of this survey in order to better capture students’ experiences of receiving teamworktraining while developing a complex design project.ReferencesAdams, S., & Ruiz, B. (2004). A Framework for Team Training in the Classroom. American Society for Engineering Education (ASEE), 181-195.Adams, S. G., Vena, L. C. S., Ruiz-Ulloa, B. C., & Pereira, F. (2002). A conceptual model for the development and assessment of teamwork. American Society for Engineering
the IE EE class A. The instructor knowing student names in the Class B. Starting Every Class with Announcements/Questions C. Knowing all upcoming events from ANGEL Calendar D. Knowing the Topics to Study for all Exams and Quizzes E. Knowing Your Grades at all times on ANGEL F. Having a 1 class Quiz or Case Study Grade Return Policy and 1 Week Exam Grade Return PolicyThe average results for the three semesters of the IE EE class are shown in Figure 1 below: Importance for your Course Satisfaction (IE EE) The instructor knowing your Name Starting Every Class with Announcements/Questions Knowing all upcoming events from Angel Calendar Knowing the Topics to Study for all Exams and
capability analysis, measurement systemanalysis, specification and tolerances, and acceptance sampling plans. Students typically take thiscourse in the second year of their masters program. The course learning outcomes are (a) Defineconcepts in quality and quality management; (b) Apply statistical tools in analysis andapplication of Statistical Process Control; (c) Produce and employ control charts; (d) Explainsampling process; and (e) Design acceptance sampling procedures for quality control.The course work and activities typically include a term paper, a term project, homework, in classexercises and discussions, quizzes and two exams (midterm and final). During the study periodthe author added the library training and a factory visit to the class
). Nurturing affinity spaces and game-based learning. In C. Steinkuehler, K. Squire & S. Barab (Eds.), Games, Learning, and Society: Learning and Meaning in the Digital Age (pp. 123-153). New York, NY: Cambridge University Press.Grohs, J. R., Maczka, D. K., Soledad, M., & Bagalkotkar, K. K. (2016). Exploring the Feasibility of an Educational Computer Game as a Novel Means of Assessing Problem Solving Competencies. Paper presented at the 123rd ASEE Annual Conference & Exposition, Now Orleans, LA.Hazelrigg, G. A. (1998). A Framework for Decision-Based Engineering Design. Journal of Mechanical Design, 120(4), 653-658. doi: 10.1115/1.2829328Johri, A., & Olds, B. M. (2011). Situated Engineering
Paper ID #18306The Development of Engineering Management Education in K-12 Schools: ALongitudinal Case StudyDr. Andrew J. Czuchry, East Tennessee State University Andrew Czuchry received his Ph.D. from the University of Connecticut in 1969 with a concentration in guidance and control systems engineering. He has more than twenty years experience as a professional manager in technical innovation and the electronics manufacturing industry. Dr. Czuchry is a tenured full professor and has been the holder of the AFG Industries Chair of Excellence in Business and Technology since joining East Tennessee State University in 1992. He
Paper ID #17956Using the Voice of the Student to Evaluate Learning Management SystemsDr. Elizabeth A. Cudney, Missouri University of Science & Technology Dr. Elizabeth Cudney is an Associate Professor in the Engineering Management and Systems Engineer- ing Department at Missouri University of Science and Technology. She received her B.S. in Industrial Engineering from North Carolina State University, Master of Engineering in Mechanical Engineering and Master of Business Administration from the University of Hartford, and her doctorate in Engineering Management from the University of Missouri – Rolla. In 2013, Dr. Cudney
where: (a) the theory was taught, (b) aworkshop with a hands-on experience (the trigger material) was held, and (c) instructor-designedand/or industry-based projects were carried out, in sequence. This paper describes theinstructional design, its implementation, and evaluation in detail. For easy comprehension of thepaper, it is worth noting that sections 2 and 3 describe the literature survey and the methodologyfor the design of the delivery, while sections 4 and 5 describe the implementation of themethodology in the delivery.2 Literature ReviewThis section identifies and summarizes some relevant literature that was used in devising themethodology. Instruction is the intentional facilitation of learning towards identified learninggoals
procedure described in the previous section for face-to-face and distance students.Given these characteristics, the researchers feel confident making comparisons between these twotypes of courses and conclude that the study has good internal validity.Objective learning outcomes: HW grades, participation grades, and test gradesFaculty Course Questionnaires (FCQ): The FCQ is a tool to evaluate the students’ perception ofthe benefits of the course and the quality of the professor. In compliance with the University ofColorado Board of Regents Policy 4-B, this voluntary questionnaire is administered to the studentsin each class at the end of the term. The questionnaire consists of a series of questions andaffirmations that students can answer or
-17/the-new-stem-index-2016. [Accessed: 11–01-2016].[3] “Free and Reduced School Lunch Data.” [Online]. Available: http://www.arkansased.gov/divisions/fiscal- and-administrative-services/e-rate/free-and-reduced-school-lunch-data. [Accessed: 11–01-2016].[4] “The Condition of College & Career Readiness 2016,” 2016.[5] D. St. John and E. Specking, “From College to K-12: Adapting Industrial Engineering Classroom Exercises for Outreach Purposes,” in 2015 ASEE Annual Conference & Exposition, 2015.[6] E. Specking, P. E. Kirkwood, and L. Yang, “Perceptions and Misconceptions of Industrial Engineering from First-Year Engineering Students,” in 2015 ASEE Annual Conference, 2015.[7] B. M. Capobianco, H. A. Diefes-dux, I
. Seattle, WA.6. Barrick, R. (2010). Peer observation for teaching assessment. South Dakota State University Faculty Development Conference7. Gall, M.D., Gall, J.P., & Borg, W.R. (2007). Educational Research: An Introduction. (8th edition). Boston: Pearson Education, Inc.8. Faculty Focus: Higher Ed Teaching Strategies, Magna Publications. Many articles over several years. Retrieved starting at home page: http://www.facultyfocus.com/9. Koromyslova, E. & Garry, B. (2016). Problem-based learning in a supply chain management course. Proceedings of the 2016 ASEE Annual Conference & Exposition. Paper ID #14739. New Orleans, LA10. IDEA Student Rating of Instruction instrument. http://www.ideaedu.org/Appendix 1. Construction and
Paper ID #18620The Native Healthcare Engineering Internship: Interprofessional Approachesto Improving Rural HealthcareMs. Charlee Millett, Montana State University I’m an undergraduate nursing student at Montana State University. Originally from Anchorage, AK, and I am involved with Caring for Our Own Program (CO-OP), which is for American Indian/Alaska Native students.Dr. William J. Schell IV P.E., Montana State University William J. Schell holds a Ph.D. in Industrial and Systems Engineering – Engineering Management from the University of Alabama in Huntsville and M.S. and B.S. degrees in Industrial and Management Engi
Paper ID #18337Enhancing Higher Level Learning in an Engineering Management Organi-zational Behavior CourseDr. Sandra L. Furterer, University of Dayton Dr. Sandy Furterer is an Associate Professor at the University of Dayton, in the Department of Engi- neering Management, Systems and Technology. She recently came from industry as a VP of Process Transformation for Park National Bank in Columbus, Ohio. Dr. Furterer received her Ph.D. in Industrial Engineering with a specialization in Quality Engineering from the University of Central Florida in 2004. She received an MBA from Xavier University, and a Bachelor and