AC 2012-3389: SYSTEM ENGINEERING COMPETENCY: THE MISSINGCOURSE IN ENGINEERING EDUCATIONMr. Charles S. Wasson, Wasson Strategics, LLC Charles Wasson is an engineering textbook author, instructor, and consultant for Wasson Strategics, LLC, a professional training and consulting services firm specializing in systems engineering, technical project management, organizational development, and team development. In 2006, Wasson authored a new sys- tems engineering text entitled System Analysis, Design, and Development: Concepts, Principles, and Practices as part of the John Wiley & Sons’ System Engineering and Management series. The text re- ceived the Engineering Sciences Book of the Year Award from the International
Paper ID #9715Embedding Systems Engineering Practices into Systems Engineering ClassesDr. S. Gary Teng, University of North Carolina, Charlotte Dr. S. Gary Teng is Professor of Systems Engineering & Engineering Management and Director of Center for Lean Logistics and Engineered Systems at the University of North Carolina at Charlotte. He holds a P.E. license in the State of Wisconsin and is an ASQ-certified Quality Engineer and Reliability Engineer. His research interests are in engineering system design, analysis and management, supply chain management, lean systems, and risk management. Dr. Teng received the Bernard R
AC 2012-4481: EDUCATION APPROACH IN JAPAN FOR MANAGEMENTAND ENGINEERING OF SYSTEMSProf. David S. Cochran, Southern Methodist University and Meijo University David Cochran is a professor of industrial and systems engineering management. He is Founder and Prin- cipal of System Design, LLC, Visiting Professor with the School of Business, Meijo University, Nagoya, Japan and faculty of systems engineering, Southern Methodist University, Dallas, Texas. Cochran devel- oped the Manufacturing System Design Decomposition (MSDD) to determine the underlying design of the Toyota Production System (and ”lean”) from a systems engineering viewpoint and was Founder and Director of the Production System Design Laboratory in the
of Engineering at International Game Technology where he man- aged corporate wide research and development. Dr. Wade spent ten years at Sun Microsystems during which time he managed the development of Enterprise Servers. Prior to this, he led advanced develop- ment of supercomputer systems at Thinking Machines Corporation. Dr. Wade received his SB, SM, EE and PhD degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology.Dr. Roberta S Cohen, Stevens Institute of Technology A Teaching Professor at Stevens Institute of Technology since 2009, Professor Cohen spent 26 years in the Telecommunications industry as a technical and managerial contributor to numerous programs
Paper ID #11227Exploring Vehicle-to-Vehicle Communications (V2V) in an Electrical Engi-neering Undergraduate ProgramMr. Anthony Ian Smith, Penn State Harrisburg Recent undergraduate student, studying Electeical Engineering Technology at Penn a State Harrisburg.Mr. Fares S. Alromithy, Wayne State University Fares Alromithy is a teaching assistance of electronics engineering at the University of Tabuk, Saudi Arabia.He is currently pursuing his master’s degree in the department of Electrical and Computer En- gineering (ECE) at Wayne State University, MI. Fares received a B.S. degree in Electrical Engineering from Indiana
children and two grandchildren and enjoy biking, hiking, camping, reading, and hanging out with the grandkids.Dr. Barry Horowitz, University of Virginia Munster Professor and Chair of the Systems Engineering Department at the University of Virginia. Prior to joining UVa served as CEO of the Mitre Corporation. Member of the National Academy of Engineering and currently serving on the Naval Studies Board, the General Electric Academic Software Advisory Board and the Research Council of the Systems Engineering Research Center sponsored by the DoD and managed by the Stevens Institute.Dr. Thomas S. Brett, Dept of Systems Engineering, School of Engineering and Applied Science Graduate of SUNY- Buffalo (JD), SUNY- Albany (MS
sliding mode control, image processing, machine learning and energy management. He won the excellent teaching assistant award in National Chiao Tung university, 2016.Prof. Yon-Ping Chen, National Chiao Tung University Yon-Ping Chen received the B.S. degree in electrical engineering from National Taiwan University, Tai- wan, in 1981, and the M.S. and Ph.D. degrees in electrical engineering from the University of Texas at Arlington, USA, in 1986 and 1989, respectively. He is currently a Distinguished Professor with the Department of Electrical Engineering, National Chiao Tung University, Taiwan. His researches include control, image signal processing, and intelligent system design.Prof. Sunny S. J. Lin, National Chiao Tung
AC 2012-4002: APPLICATION OF CASE STUDIES TO ENGINEERINGMANAGEMENT AND SYSTEMS ENGINEERING EDUCATIONDr. S. Jimmy Gandhi, Stevens Institute of Technology S. Jimmy Gandhi is a faculty member in the School of Systems and Enterprises (SSE) at Stevens In- stitute of Technology and also at Baruch College, which is a part of the City University of New York (CUNY) system. His research interests are in the field of risk management, engineering education, and globalization. He got a Ph.D. in engineering management from Stevens Institute of Technology, a mas- ter’s in engineering management from California State University, Northridge, and a bachelor’s degree in engineering from the Illinois Institute of Technology. He is
Engineering at the International University of Rabat (UIR), Morocco. Also, she earned a Master of Science in Aerospace Engineering with a concentration in fluid flows and jet noise from Mississippi State University. Sofia is an active member of the Institute of Industrial & Systems Engineering (IISE).Mr. Parker Jones, Mississippi State UniversityMrs. Emily S. Wall , Mississippi State University Emily Wall is a Research Engineer for the Center for Advanced Vehicular Systems Extension (CAVS-E). She graduated from Mississippi State University (MSU) with a masters of engineering (2018), bachelor’s in Industrial and Systems Engineering in 2015, and received her Six Sigma Black Belt from MSU’s CAVS
, results of which have been published in over 100 articles in journals and conference proceedings. Dr. Nemes has also held a number of positions in industry and government, including posts at the Kennedy Space Center and at the U.S. Naval Research Laboratory in Washington DC.Kirsten S. Hochstedt, Penn State University Kirsten S. Hochstedt is a Graduate Assistant at the Leonhard Center for the Enhancement of Engineering Education. She has received her Masters degree in Educational Psychology, with an emphasis in educa- tional and psychological measurement, at Penn State and is a doctoral candidate in the same program. The primary focus of her research concerns assessing the response structure of test scores using item
this simple modeling of car motion, and where x(t) is theinput (force excitation resulting from pressing the gas pedal) and y(t) is the output (displacementresponse of a car). The Laplace transform of this differential equation is: Ms2Y(s) + BsY(s) + KY(s) = X(s) (2)where X(s) and Y(s) are the Laplace Transforms of x(t) and y(t), respectively.3 The displacement, velocity, and acceleration responses of the two cars for various car andinput parameters are illustrated in the following sections. For simplicity, units for the parametersand variables are not included in the equations of motion of the two cars.A. Displacement, Velocity, and Acceleration Responses of Each Car to a Step Input
from an understanding that engineers need systems thinking skills to address complexengineering problems, our research is aligned with best practices in curriculum and trainingmaterial development. Once a desired result is identified, in this case the goal is to developengineers who are able to use comprehensive systems thinking knowledge and skills to addresscomplex problems, the next step is to determine how the achievement of that goal will beassessed [8]. Such assessment(s) then guide the development of learning activities andexperiences, e.g., methods for teaching systems thinking [8]. Our analysis sought to understandthe ways in which existing systems thinking assessments relevant in an engineering contextattend to various dimensions
expertise in modeling architectures for complex engineering systems such as transportation, infrastructure, water resources and energy distribution using computational intelligence techniques He is the founder and Boeing Coordinator of the Missouri S&T’s System Engineering graduate program. Dr. Dagli is the director of Smart Engineering Systems Laboratory and a Senior Investigator in DoD Systems Engineering Research Center-URAC. He is an INCOSE Fellow 2008 and IIE Fellow 2009. He has been the PI, co-PI, or director of 46 research projects and grants totaling over $29 million from federal, state, and industrial funding agencies Dr. Dagli is the Area editor for Intelligent Systems of the International Journal of
AreaNetwork (LAN). The rest of this paper is organized as follows. Motivation, systems modeling Page 26.44.3and design are discussed in Section 2. Results of numerical analysis are presented in Section 3.Discussion of results and contribution(s) of the research are presented in Section 4. Section 5concludes the paper.2 Systems modeling and designThis Section discusses motivation for the research in Section 2.1 and systems modeling anddesign in Section 2.2.2.1 Motivation for the researchThe research is motivated by the need to provide improved learning environment for engineeringstudents, whereby professors/instructors can access the laboratory to
, namely interaction, independence,change, uncertainty, complexity, systems worldview, and flexibility, as shown in Table 4. Basedon these dimensions, the ST skills of an individual are evaluated. Table 4: Seven Dimensions of Systems Thinking (ST) Skills Instrument [17] Less Systemic (Reductionist) Dimension More Systemic (Holistic) Complexity (C): Expect uncertainty, work Simplicity (S): Avoid uncertainty, work on linear Level of Complexity: Comfort with on multidimensional problems
average(GPA).Systems-Thinking Skills and Impacting FactorsPrior studies assessed an individual’s systems thinking using different systems thinkingcharacteristics and measurements within education domain. For example, Hopper and Stave [6]developed ways to assess the effectiveness of systems thinking interventions in the field ofeducation by defining systems thinking, determining what systems thinking interventions werebeing used in the current education models, and describing how the effects of interventions havebeen measured. Their definition uses the learning objectives in Bloom et al.’s [7] taxonomy tocreate their own proposed taxonomy as it pertains to systems thinking. Hopper and Stave’s [6]taxonomy consisted of different measures including
definition of mission engineering is the deliberate planning, analyzing,organizing, and integrating of current and emerging operational and system capabilities toachieve desired mission effects.Mission engineering applies the mission context to complicated and complex system(s) ofsystems [2]. Most current systems engineering practices do not fully address the uniquecharacteristics of mission engineering, addressing the end-to-end mission as the ‘system’ andextending further beyond data exchange between the individual systems for cross-cuttingfunctions, controls, and trades across the systems.Mission engineering differs from the established term of mission analysis in that the latter onlyaddresses examination of current operational and system
view of value, trade-offs, and optimization;3. Understanding system’s interactions and states (modes);4. Specifying system technical requirements;5. Creating and analyzing high level design;6. Assessing solution feasibility, consistency, and completeness;7. Performing system failure mode and risk analysis;8. Planning system families, platforms, and product lines;9. Understanding roles and interdependencies across the innovation process.Within the summer grand challenge program only a subset of these system competencies havebeen introduced.The framework for the system’s competencies aspect of the course included utilization of asystems engineering approach as described by the S*-metamodel (shown in Figure 1)[4]. Themodel based systems
, conference proceedings, magazine articles, presentations, and two handbooks. She has also received numerous prestigious teaching and research awards. c American Society for Engineering Education, 2018 Integrating Systems Thinking in Interdisciplinary Education Programs: A Systems Integration Approach Adedeji B. Badiru Air Force Institute of Technology (AFIT) Wright-Patterson Air Force Base, Ohio LeeAnn Racz st US Air Force, 1 Special Operations Aerospace Medicine Squadron U. S. Air
and designthinking and that their differences are due to differences in application and the nature of their usein a process [1]. The Inclusive Concept Model suggests that systems thinking is merely a specificapplication of design thinking and falls under the category of design thinking [1]. Lastly was theIntegrative Concept Model which suggests that systems and design thinking are part of the sametype of cognition with the perceived difference between them being due to a gap between theirapplication in industry and formal research. Using Greene et al.’s work as a springboard, wecontinued exploration of the systems/design thinking relationship.Our paper is structured to first examine the emergent cognitive abilities and attributes of
potential,” Qual. Quant., vol. 47, no. 2, pp. 659–676, 2013.[9] M. Borrego, M. J. Foster, and J. E. Froyd, “Systematic literature reviews in engineering education and other developing interdisciplinary fields,” J. Eng. Educ., vol. 103, no. 1, pp. 45–76, 2014.[10] V. Braun and V. Clarke, “What can "thematic analysis" offer health and wellbeing researchers?,” Int. J. Qual. Stud. Health Well-being, vol. 9, p. 26152, 2014.[11] C. Robson and K. McCartan, Real world research : a resource for users of social research methods in applied settings, 4th ed. 2016.[12] J. Saldaña, The Coding Manual for Qualitative Researchers, vol. 90, no. 1. 2014.[13] A. S. Hanbazazah, “The Need for Social Intelligence
convergent validity testing between the results and the systems thinking construct.Reflective NarrativeDescription: Students will provide open-ended reflections after each Think Aloud activity and onereport on systems thinking and its implications on project management and engineered systems atthe end of the course. A. The open-ended reflections focus on how the student engaged and learned in the course. It encourages students to recognize positive, negative and neutral aspects of the task(s). B. The report challenges students to determine whether they perceive a benefit of systems thinking in engineering and must support their position. Any individual adjustments made between the pre- and post- knowledge survey is
systems and only two students mentioned theimportance of gender issues in their learning objectives. Only 7 out of 12 students included alearning objective in where sustainability was mentioned or where vulnerability wasdiscussed.Table 2: Intended learning outcomesTheme Students (first name initials) Num.The systems’ components and functions. -‐ concepts of the system D, E, G, S 4 -‐ description of the system and its components A, B, C, D, E, G, H, M, R 9 -‐ function of the system A, B, C, E, M, R, S, Z 8 -‐ borders of a system; interaction with other A, E, F, H, M, R, S
together: Lessons from comprehensive school reform research (pp. 109-150). Washington, DC: George Washington University Press.4 Crawford, S., & Ostrom, E. (1995). A grammar of institutions. The American Political Science Review, 89(3), 582-600.5 Weaver-Hightower, M.B. (2008). An ecology metaphor for educational policy analysis: A call to complexity. Educational Researcher, 37(3), 153-167.6 Heaslip, G., Sharif, A. M., & Althonayan, A. (2012). Employing a systems-based perspective to the identification of inter-relationships within Humanitarian Logistics. International Journal of Production Economics.7 Institute of Industrial Engineers. Web. Mar. 22, 2013. http://www.iienet2.org/Details.aspx?id=2828 Hazelrigg, G. A
reprints for government purposes notwithstanding any copyright notation hereon.Finally, the authors would like to thank the students from the Introduction to MechanicalEngineering course at SDSM&T that answered the STTS in the fall 2018 semester.Bibliography[1] The Engineering Accreditation Commission (EAC), 2017, "General Criteria forBaccalaureate Programs," http://www.abet.org/wp-content/uploads/2017/12/E001-18-19-EAC-Criteria-11-29-17-FINAL_updated1218.pdf[2] American Association of Engineering Societies, and United States Department of Labor,2015, "Engineering Competency Model," Employment and Training Administration, ed., UnitedStates Department of Labor.[3] Crawley, E. F., Malmqvist, J., Östlund, S., Brodeur, D. R., and Edström, K., 2014
failures [13]. Of the 21 causes, we consider in this work the 10 that apply to studentprojects, as shown in Table 1. Table 1: Common causes of systems engineering failures. Adapted from [13]. Systems engineering failure causesFailed to consider Actor(s) in the organization failed to consider an aspect in the system design. In many cases,design aspect this causal action describes a design flaw, such as a single-point failure or component compatibility.Used inadequate Actor(s) in the organization used inadequate justification for a decision.justificationFailed to form a Actor(s) in the organization failed to form a contingency plan to implement if an
to 6 “subfunctions” that, at a high level, definethe functional decomposition of the primary function. Then the destination and origins of inputsand outputs with respect to the subfunctions are identified to show functional transformationsand relationships. To help students complete the diagrams, students are told that miracles(function boxes with outputs and no input(s)) and black holes (functions with inputs and nooutput(s)) can not occur. A sample Level 0 diagram for the “encourage recycling” function isshown in Figure 6.0. CollectUsed Materials Recyclables Loose Garbage A1
. Infact, other disciplines such as large-scale systems theory may need to be applied to addressthe management of large data when it comes to real-time control of complex systems.References 1. Guide to the Systems Engineering Body of Knowledge (SEBoK). Retrieved December 31, 2015, from http://sebokwiki.org/wiki/Guide_to_the_Systems_Engineering_Body_of_Knowledge_(SEBoK) 2. Blanchard, B. S., & Fabrycky, W. J. (2010). Systems Engineering and Analysis (5th ed.). Upper Saddle River, NJ: Prentice Hall. 3. Banks, J., Carson, J. S. II, Nelson, B. L., & Nicol, D. M. (2009). Discrete-Event System Simulation (5th ed.). Upper Saddle River, NJ: Prentice Hall. 4. Buede, D. M., &
-1-2419.The views and conclusions contained in this document are those of the authors and should not beinterpreted as representing the official policies, either expressed or implied, of the Office ofNaval Research or the U.S. Government. The U.S. Government is authorized to reproduce anddistribute reprints for government purposes notwithstanding any copyright notation hereon.Bibliography[1] Aurigemma, J., Chandrasekharan, S., Nersessian, N. J., and Newstetter, W., 2013, "Turningexperiments into objects: The cognitive processes involved in the design of a lab‐on‐a‐chipdevice," Journal of Engineering Education, 102(1), pp. 117-140.[2] Cattano, C., Nikou, T., and Klotz, L., 2010, "Teaching systems thinking and biomimicry tocivil engineering
York, New York City College of Technology Prof. Yasar is currently working as an assistant professor in the Department of Mechanical Engineering Technology at City Tech. She is also the director of Research Laboratory SET – Scaffolds for Engineered Tissues. Her research interests are: - Design and Fabrication of Tissue Constructs - Bio-fabrication - Biomechanics - Soft lithography Techniques for Cell Micro-patterning - CAD/CAM ApplicationsDr. Andy Zhang, New York City College of Technology Dr. Andy S. Zhang received his Ph.D. from the City University of New York in 1995. He is currently the program director of a mechatronics project in the New York City College of Technology/CUNY. For the past 15 years, Dr. Zhang