Skip to main content

Directory

Sharon Bommer

Assistant Professor

Full-Time Faculty

School of Engineering: Department of Engineering Management, Systems, and Technology

Contact

Email: Sharon Bommer
Phone: 937-229-2837
Kettering Labs Room 321

Degrees

  • Ph.D., Engineering, Industrial and Human Systems, Wright State University, Dayton, OH, Area of Specialization: Human Performance and Cognition
  • M.S., Industrial and Human Factors Engineering, Wright State University, Dayton, OH, Area of Specialization: Human Systems Integration
  • MBA, University of Cincinnati, Cincinnati, OH, Area of Specialization: International Business
  • B.S., Mechanical Engineering, Tennessee State University, Nashville, TN

Selected Publications

TECHNICAL REFERENCE BOOK

Badiru, A. B., & Bommer, S. C. (2017). Work design: A systematic approach. Taylor & Francis CRC Press: Boca Raton, FL.

REFEREED JOURNAL PUBLICATIONS

Drankoff, L., & Bommer, S. (2020).  A systems engineering framework for integration of cognitive ergonomics in smart factory configurations. Journal for Management and Engineering Integration (JMEI), 13(1), 53-62.

Gnacek, M., Doran, E., Bommer, S., & Appiah-Kubi, P. (2020). The effectiveness of smart compose: An artificial intelligent system. Journal for Management and Engineering Integration (JMEI), 13(1), 111-121.

Bommer, S. C., & Fendley, M. (2018). A theoretical framework for evaluating mental workload resources in human systems design for manufacturing operations. International Journal of Industrial Ergonomics (IJIE), 63, 7-17. http://dx.doi.org/10.1016/j.ergon.2016.10.007

Bommer, S., & Badiru, A. (2016).  Quality insights: Impact of cognitive load on the cost of quality. International Journal of Quality Engineering and Technology (IJQET), 6(1/2), 115-122.  http://dx.doi.org/10.1504/IJQET.2016.081647  

Bommer, S., & Fendley, M. (2015). Assessing the effects of multi-modal communications on mental workload during the supervision of multiple unmanned aerial vehicles. International Journal of Unmanned Systems Engineering (IJUSEng), 3(1), 38-50. http://dx.doi.org/10.14323/ijuseng.2015.4

Bommer, S. (2012, Winter). How to improve the quality of your output: It’s all about effective problem solving. The Quality Management Forum, Journal of the Quality Management Division of the American Society for Quality, 37(4), 1, 4-5.

INVITED PUBLICATION

Bommer, S. C. (2017, January). Cognitive ergonomics in manufacturing. Industrial & Systems Engineer Magazine, Magazine of the Institute of Industrial & Systems Engineers (IISE), 41-43.

Selected Research and Work

  • Warfighter Performance Faculty, U.S. Army Aeromedical Research Laboratory (USAARL), an Oak Ridge Institute for Science and Education (ORISE) appointment. (2020 – 2021)
  • Faculty Fellow, Computational Human Factors, Cognitive, and Ergonomics for Data Analytics in Additive Manufacturing, Air Force Research Laboratories Summer Faculty Fellowship Program (AFRL-SFFP) (2019)
  • Faculty Mentor, Artificial Intelligence in Industrial Systems, Summer Undergraduate Research Experience (S.U.R.E.) Program at the University of Dayton (2018)
  • Research Assistant, Remotely Piloted Aircraft Transit Operations for Multi-Role Control Stations sponsored by the Air Force Research Laboratory (AFRL) in conjunction with Wright State University’s Research Institute (WSRI). (January 2012 – December 2014)

Courses Taught

  • IET 435 - Human Factors
  • IET 409 - Lean Management
  • ENM 540 - Lean Production Systems
  • IET 321 - Quality Management
  • IET 230 - Work Measurements
  • ENM 560 - Quality Assurance
  • ENM 583 - Leadership and Engagement for Engineering Diversity 

Professional Activities

  • Institute of Industrial and Systems Engineering (IISE)
  • Human Factors and Ergonomics Society (HFES)
  • American Society of Engineering Education (ASEE)

Research Interests

  • Human Performance, Human-Systems Integration, Cognitive Engineering and Modeling

Industrial Experience

Dr. Bommer has over 15 years of industry experience in automotive manufacturing. She worked in vehicle production engineering, process engineering, production management and project management.