- Location: Kettering Laboratories Room 365
- Phone: 937-229-2238
- Email: Contact
Currently the chair of the Department of Engineering Management and Systems, Dr. Mykytka is an alumnus of the University of Dayton (Mathematics, 1976) who came home to join the UD faculty in 1998. While at UD, he has focused on graduate and online education, helping to establish the online Engineering Management Master’s program offered via web conferencing as one of the first accredited distance learning programs at the University. More recently, he led the development of the Department’s first asynchronous online offerings. He is recognized by the University as an eLearning Fellow and served as the associate dean of the Graduate School between 2006 and 2010. Dr. Mykytka has over 30 years of experience as a customer-focused teacher, researcher, consultant, and administrator. His teaching and research interests are focused on applying the art and science of modern statistical methods and discrete-event simulation to improve quality, reliability, productivity, and profitability in complex systems.
- Mykytka, E.F., and J.R. Litko. 2006. Simulation modeling for reliability analysis. Invited Tutorial, Annual Reliability and Maintainability Symposium.
- Mykytka, E.F. 2003. Customer-focused graduate education in a real-time distance environment. 33rd ASEE/IEEE Frontiers in Education Conference, in Boulder, Colorado.
- Durkee, D.P., Pohl, E.A., and E.F. Mykytka. 2002. Input data characterization factors for complex systems affecting availability estimation accuracy. Reliability and Maintainability Symposium Proceedings: 80-89.
- Millhouse, P.T., S.C. Kramer, P.I. King, and E.F. Mykytka. 2000. Identifying optimal fan pressure ratios for the mixed-stream turbofan engine. Journal of Propulsion and Power 16: 79-86.
- Zalewski, D.J., and E.F. Mykytka. 2000. A management framework for process control and capability in the presence of autocorrelation. IAMOT 2000: International Association for Management of Technology, in Miami, Florida.
- Catlin, A.E., K.W. Bauer, E.F. Mykytka, and D.C. Montgomery. 1999. System comparison procedures for automatic target recognition systems. Naval Research Logistics 46: 357-371.
- Durkee, D.P., E.A. Pohl, and E.F. Mykytka. 1998. Sensitivity analysis of availability estimates to input data characterization using design of experiments. Quality and Reliability Engineering International 14: 1-7.
- Rogers, R.V., M. Zyda, E.F. Mykytka, D. Bartlett, and M. Bathe. 1996. Modeling and simulation education: Is there a need for graduate degrees in modeling and simulation? Proceedings of the Winter Simulation Conference: 1401-1406.
- Auclair, P.F., E.F. Mykytka, and S. Parnell. 1996. Military operations research: Responding to change. Military Operations Research 2: 9-18.
- Mykytka, E. F. and Cheng, C. Y. 1994. Generating correlated random variates based on an analogy between correlation and force. Proceedings of the 1994 Winter Simulation Conference: 1413-1416.
- Award for Excellence in Service, School of Engineering, University of Dayton, 2002
- Alan O. Plait Award, Reliability and Maintainability Symposium, 1998
- Testimonial Award, Statistics Division, American Society for Quality, 1995
- Outstanding Operations Research Educator, AFIT Student Chapter of the Operations Research Society of America, 1993
- Outstanding Instructor, AFIT Department of Operational Sciences, AFIT Engineering Student Association, 1992
- Outstanding Industrial Engineering Faculty Member, Auburn University, 1984, 1986, 1988, 1990
- Outstanding Professors List, University of Arizona, 1979, 1982
- Ph.D., Systems and Industrial Engineering, University of Arizona, 1983
- M.S., Industrial and Management Engineering, University of Iowa, 1978
- B.S., Mathematics, University of Dayton, 1976
- American Society for Engineering Education
- American Society for Quality
- Institute for Operations Research and Management Sciences
- Institute of Industrial Engineers
- Proposal reviewer for the Israel Science Foundation, 1994
- Applied statistics
- Design of experiments
- Quality improvement
- Random variate modeling and generation
- Reliability analysis
- Response surface methodology
- Simulation modeling and analysis
- Simulation output analysis
- Statistical process control
- Time series analysis