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
  • 25+ years university R&D
  • 70+ refereed publications
  • Associate editor of Computers & Industrial Engineering (IF: 5.4)
  • Recipient of six teaching awards and two best paper prizes
  • Chaired 25+ Ph.D. committees
  • PI on approx. $5M in analytics-related research
  • Member of the MIT Election Science Laboratory
  • 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.
  • Dang, Singh, and Allen (2021) Network Mode Optimization for the DHL Supply Chain, Informs Journal of Applied Analytics. Perhaps $200M in officially documented savings.
  • Patterson,…,Allen,… (2021) Perceptually Discriminating the Highest Priority Alarms Reduces Response Time: A Retrospective Pre-Post Study at Four Hospitals, Human Factors. Major cuts in key alarm response times likely saving lives.
  • Yang, M., T. T. Allen, M. Fry, and D. Kelton (2013). The Call for Equity: Simulation-Optimization Models to Minimize the Range of Waiting Times. IIE Transactions, 45, 1–15. Partly documenting our case studies in which millions experience shorter waiting times in voting.
  • Allen, T. T., S. Tseng, K. S., M. A. Megimose-McClay (2010). Improving the Hospital Discharge Process with Six Sigma Methods. Quality Engineering, 22, 1-8. We contributed to an approximately half hour reduction in the discharge times for a community hospital while improving the chart quality.
  • Numerous case studies including major savings at manufacturers in the lean six sigma textbook.

Information Research and Service

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