society-relatedresults criteria at 10% each. The study employed quantitative method for results or performancemetrics and qualitative method for enablers. The quantitative method included hypothesis testingof target vs performance metrics using paired t-test. The qualitative method included theRADAR (Results, Approach, Deployment, Assessment, and Review) framework forperformance assessment and continuous improvement. Data were collected from XXX SteelPlant located in Iran with 13,000 employees and analyzed using SPSS and MS Excel. This studyconcentrated on customer-related data (sub-criteria 5.e and 6.b) to illustrate the effectiveness ofthe overall methods. The findings reveal a gap between the performance metrics and the target.The research
prompts iteratively to improve output quality and address discrepancies. 5. Explore settings adjustments (e.g., modifying temperature for deterministic responses) to examine their impact on results.The following figure shows the CPM problem: Critical Path Exercise #1 Draw the network diagram for the following series of activities. Calculate early and late start and finish dates for each activity. Determine the critical path and total duration. How much float is there for activities E, G, and D. Activity ID Preceding Activities Duration (weeks) A --- 3 B
graduate students across three programs: (1) Master of Science in EngineeringManagement (MSEM), (2) Master of Science in Management Science (MSMS), and (3) Master ofScience in Systems Engineering (MSSE), spanning the academic years from 2018 to 2023. Grades wereanalyzed using the grading scale employed at the University of Dayton, where A is equivalent to 4.0, A-to 3.7, B+ to 3.3, B to 3.0, B- to 2.7, C to 2.0, and F or W to 0.The curriculum of the University of Dayton's Engineering Management Department offers two keycourses for first-semester graduate students: ENM 500: Probability and Statistics for Engineers and ENM505: Management of Engineering Systems. ENM 500 serves as an introductory course in probability andstatistics, primarily designed
Paper ID #48501Title Air and Missile Defense Threat Scenario Variation to Reduce PretestSensitization, Video Games as a Case StudyJulie R Szekerczes, Indiana State UniversityDr. M. Affan Badar, Indiana State University M. Affan Badar, PhD is Professor, former department chair, and current Director of the PhD in Technology Management Program in the Bailey College of Engineering & Technology at Indiana State University. In 2016-18 he was on leave and worked as Professor and Chair of the Industrial Engineering and Engineering Management Department at university of Sharjah, UAE.Dr. James Nevin McKirahan Jr., Indiana State
Paper ID #46367How to Cultivate Digital Engineering Management Talents: A Case on the”Digital Intelligence Innovation and Management” Engineering Doctoral ProgramYuxin Xue, Zhejiang University Yuxin Xue is a Ph.D student in the School of public affairs, Zhejiang University. Her research interests include Science and Technology Management.Prof. Tuoyu Li, Zhejiang University Tuoyu Li is a associate professor of the Institute of China’s Science, Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy.Min Ye, Zhejiang University Min
engaging Engineering Summer Camp," 2014 ASEE Annual Conference & Exposition, 2014.3. A. H. Nowariak, O. Lang, A. P. Thomas, D. Monson, and D. Besser, "Assessing the Effectiveness of an Engineering Summer Day Camp," 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, pp. 1-15, 2016.4. R. Hammack, T. A. Ivey, J. Utley, and K. A. High, "Effect of an engineering camp on students’ perceptions of engineering and technology," J. Pre-College Eng. Educ. Res. (J- PEER), vol. 5, no. 2, Art. no. 2, 2015.5. M. Khalafalla, T. U. Mulay, D. Kobelo, B. Shadravan, and D. Akinsanya, "The role of hands-on engineering technology summer camps in attracting underrepresented high school students to STEM majors," in ASEE Annu. Conf
. He has published in Quality Management Journal, and a textbook in Business Analytics. Majid received his MBA and Ph. D. in Operations Management from University of Nebraska-Lincoln, and B.E. and M.E. degrees in Mining Engineering from University of Tehran. Prior to the University of Nebraska-Lincoln, Majid was an associate professor of Supply Chain Management and Decision Sciences at Bellevue University.Dr. Jena Shafai Asgarpoor, University of Nebraska - Lincoln Dr. Jena Asgarpoor is a Professor of Practice at the University of Nebraska – Lincoln and the Director for the Master of Engineering Management Program in the College of Engineering. She received her Ph. D. and M.S. in Industrial Engineering, specializing
Paper ID #46396A New Course on ”Artificial Intelligence for Engineering Managers” - Objectives,Teaching Methods and StructureDr. Edwin R Addison, North Carolina State University at Raleigh Dr. Edwin Addison is a Professor of the Practice at NC State University in the Department of Industrial and Systems Engineering and in the Engineering Online program as well as the Master of Engineering Management Program. He teaches courses in Product Management, Entrepreneurship, and Artificial Intelligence. Dr. Addison was a serial entrepreneur, venture capitalist, and adjunct professor for 35 years before his current appointment
, Pew Research Center. https://Www.Pewresearch.Org/Social- Trends/2018/01/09/Diversity-in-the-Stem-Workforce-Varies-Widely-across-Jobs/.[3] Schuster, P., Cooper, L., Elghandour, E., Rossman, E., Harding, S., & Self, B. (2020, June). Senior capstone team formation based on project interest: Team selection by students compared with team selection by instructors. 2020 ASEE Virtual Annual Conference Content Access Proceedings. https://doi.org/10.18260/1-2--35187[4] Aller, B. M., Lyth, D. M., & Mallak, L. A. (2008). Capstone project team formation: Mingling increases performance and motivation. Decision Sciences Journal of Innovative Education, 6(2), 503–507. https://doi.org/10.1111/j.1540
-248, 2006/03/01 2006, doi: 10.1111/j.1540- 6520.2006.00119.x.[8] A. C. Klotz, K. M. Hmieleski, B. H. Bradley, and L. W. Busenitz, "New Venture Teams: A Review of the Literature and Roadmap for Future Research," Journal of Management, vol. 40, no. 1, pp. 226-255, 2014/01/01 2013, doi: 10.1177/0149206313493325.[9] M. Meuter, D. Toy, and L. Wright, "Can't We Pick Our Own Groups? The Influence of Group Selection Method on Group Dynamics and Outcomes," Journal of Management Education, vol. 30, 08/01 2006, doi: 10.1177/1052562905284872.[10] K. A. Freeman, "Attitudes toward Work in Project Groups as Predictors of Academic Performance," Small Group Research, vol. 27, no. 2, pp
information in artificial intelligence-generated content."2024. Humanit Soc Sci Commun 11, 1278 https://doi-org.proxy.library.ohio.edu/10.1057/s41599-024-03811-x.[11] Mohamed, A.A., Mohd Radzuan, N. R., Fauzi, W. J. and Harbi, S. “Anxiety Could be a Good Sign:Understanding Challenges in Developing Engineering Graduates’ Technical Oral PresentationCompetencies”, IJLEAL, vol. 13, no. 1, pp. 69–79, Jun. 2023, doi: 10.15282/ijleal.v13i1.7531.[12] Microsoft CoPilot. Accessed 2025-4-30. Prompt: “Please summarize the sentiment of this data set ofresponses:” Generated using https://copilot.microsoft.com/.[13] Littell, W. N., & Peterson, B. L. (2024). AI-powered chatbots to simulate executive interactions forstudents performing stakeholder analysis
organizations as an opportunity to display moral virtues. This dimension -together with managing, business techniques and economics-, constitutes the foundation for having the leadership capacity to develop his institucional management activity. During his university career performs a close relationship related to the administration of human resources, budget, planning and development of academic and administrative projects, emphasizing the creation of a working environment for his officials to deliver the best of their capabilities. The teaching performance work has motivated his contribution to the community so that as too individual to achieve his own development. In this area, he responsible for carrying out educational
model?” Furthermore, what are the upsides and downsides of such anintegration. There is a need to develop a comprehensive product development model with theproduct manager in the mix.Integrating the PDM into this model will likely experience growing pains and learning curves butshould result in a higher probability of successful NPD initiatives. Some of the potential areas ofconflicts to consider are: a. The role of the PDM. b. Changes in the roles of the PGM, SE, and PM. c. Change and level of complexity. d. Advantages, disadvantages, and challenges for the product development team. e. Advantages, disadvantages, and challenges for the firm. f. Advantages, disadvantages, and challenges for the customer. g. Value
systems, and application of analytical models for business problem solving, and operations management. He has published data analysis textbooks, research articles in Quality Management Journal, and Journal of Brand Strategy.Dr. Jena Shafai Asgarpoor, University of Nebraska - Lincoln Dr. Jena Asgarpoor is a Professor of Practice at the University of Nebraska – Lincoln and the Director for the Master of Engineering Management Program in the College of Engineering. She received her Ph. D. and M.S. in Industrial Engineering, specializing in Engineering Management, from Texas A&M University in College Station where she had previously earned a B.A. in Political Science (Summa Cum Laude). Prior to UNL, she was a professor
Paper ID #46274Bridging the Gap: Accelerating Engineering Management Education ThroughInnovative Graduate PathwaysDr. David Paulus, University of Arkansas David Paulus, PhD is a Professor of Practice of Industrial Engineering and the Director of the Engineering Management and Operations Management graduate programs at the University of Arkansas. David is Professional Engineer (PE) in the state of Arkansas and a Certified Professional in Engineering Management (CPEM). ©American Society for Engineering Education, 2025Bridging the Gap: Accelerating Engineering Management Education Through
Paper ID #46564Teaching professional skills for students’ competitive advantage in the era ofAI workplace transformationDr. Ekaterina Koromyslova, South Dakota State University Ekaterina Koromyslova is an Associate Professor in Operations Management. She teaches several courses, including Operations and Supply Chain Management, Engineering Economic Analysis, and Interdisciplinary Project Experience courses. She has several years of industry experience as an analyst-consultant for manufacturing companies and as a leading manager in supply chain and logistics. Her research interests are in interdisciplinary education