About T. T. Allen

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Theodore T. Allen Vita

T. T. Allen Google Scholar

Teaching Statement

Research Statement


Associate professor of Integrated Systems Engineering at The Ohio State University

Ph.D. at the University of Michigan (Ann Arbor),  M.S. in physics from UCLA, and my A.B. (physics) from Princeton

Theodore T. Allen

What I do at OSU

  • Fellow of ASQ
  • 23+ years university R&D
  • 60+ refereed publications
  • Associate editor of Computers & Industrial Engineering (IF: 3.2)
  • Recipient of six teaching awards and two best paper prizes
  • Chaired 21+ Ph.D. committees
  • PI on approx. $2M in analytics-related research
  • Participant Translational Data Analytics discovery theme
  • Author of two textbooks (one in 3rd edition)
Allen, T. T. (2011), Introduction to Discrete Event Simulation Theory with Applications: Voting Systems, Health Care, Military, and Manufacturing, Springer Verlag: London 32,000+ paid downloads as of August 2017.
Allen, T. T. (2019), Introduction to Engineering Statistics and Lean Six Sigma: Statistical Quality Control and Design of Experiments and Systems, 3rd ed., Springer Verlag: London over 130,000 paid downloads (all editions) as of 2019.

Technologies and Domains

Our technologies all relate to using data or even Big Data to help make decisions. Usually, Big data is not big enough because there is little information about new options that have not been tried. We make ways to help fill in the blanks.

Like many in ASQ, INFORMS, IIE, and AmStat, I feel passionately about the role of data and methodical approaches in improving decision-making.
It has been said that Boeing planes could not achieve their quality levels without improved methods for decision-making. It seems likely that similar improvements in other systems will unavoidably require new methods for decision-making.
Also, the way that education occurs is important in relation to keeping the outcomes in mind.

Allen, T. T., S. Artis, A. Afful-Dadzie, and Y. Allam (2013). Case Study Application of Blended Learning for an Engineering Simulation Course. Quality Approaches in Higher Education, 4(1), 13-22. (http://rube.asq.org/edu/2013/07/best-practices/case-study-application-of-blended-learning-in-an-engineering-simulation-course.pdf, Winner 2013 Best Paper Prize)
Brady, J.E. and Allen, T.T. (2002). Case study based instruction of DOE and SPC. The American Statistician, 56(4), pp.312-315.
Huang, D. and Allen, T.T. (2005). Design and analysis of variable fidelity experimentation applied to engine valve heat treatment process design. Journal of the Royal Statistical Society: Series C (Applied Statistics), 54(2), pp.443-463.

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