Faculty Directory
Bruce Ankenman

Professor of Industrial Engineering and Management Sciences

Charles Deering McCormick Professor of Teaching Excellence

Director of Undergraduate Programs for the Segal Design Institute


2133 Sheridan Road
Ford G311
Evanston, IL 60208-3109

Email Bruce Ankenman


Segal Design Institute


Industrial Engineering and Management Sciences


Master of Engineering Management Program

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Ph.D. Industrial Engineering, University of Wisconsin-Madison, Madison, WI

M.S. Manufacturing Systems Eng., University of Wisconsin-Madison, Waterloo, WI

B.S. Electical Engineering, Case Western Reserve University, Cleveland, OH

Research Interests

As a design engineer in the automotive parts industry, I found that an engineer's job depends on the ability to efficiently collect and analyze data. Since many engineers have limited access to statistical methods, my research is to develop simple-to-use, yet statistically powerful tools for the design and analysis of both physical and simulation-based experiments.  I have recently been involved with research on adapting design of experiment techniques for use in simulation experiments.  These experiments are run on simulation models of manufacturing or other large scale systems and help engineers and managers to make tactical and strategic decisions based on realistic computer models. 

Since I view statistical methods as tools to be used for a purpose, I am concerned with the entire process of design, development, and continuous improvement in industry.  These broader interests have led to my directorship in the Segal Design Institute. In Segal, I direct all undergraduate education programs which focus on the full design process with special attention to meeting human needs with technology. 

Selected Publications

  • Ankenman, Bruce E.; Cheng, Russell C.H.; Lewis, Susan M., “Screening for dispersion effects by sequential bifurcation”, ACM Transactions on Modeling and Computer Simulation, (2014)
  • Dingus, Cheryl; Ankenman, Bruce; Dean, Angela; Sun, Fangfang, “Identification of dispersion effects in replicated two-level fractional factorial experiments”, Journal of Statistical Theory and Practice, (2013)
  • Chen, Xi; Ankenman, Bruce E.; Nelson, Barry L., “Enhancing stochastic kriging metamodels with gradient estimators”, Operations Research, (2013)
  • Alaeddini, Adel; Yang, Kai; Mao, Haojie; Murat, Alper; Ankenman, Bruce, “An adaptive sequential experimentation methodology for expensive response surface optimization - case study in traumatic brain injury modeling”, Quality and Reliability Engineering International, (2013)
  • Chen, Xi; Ankenman, Bruce E.; Nelson, Barry L., “The effects of common random numbers on stochastic kriging metamodels”, ACM Transactions on Modeling and Computer Simulation, (2012)
  • Ankenman, Bruce E.; Nelson, Barry L., “A quick assessment of input uncertainty”, Proceedings - Winter Simulation Conference, (2012)
  • M. H. Tongarlak, B. E. Ankenman, B. L. Nelson, S. Jain, R. Creasey and J. Himmelspach, “RELATIVE ERROR STOCHASTIC KRIGING”, Proceedings of the 2011 Winter Simulation Conference (Wsc), (2011)
  • Nelson, B. L; Ankenman, B. E; Yang, F.; Bekki, J. M; Fowler, J., “Simulation in Production Planning: An Overview with Emphasis on Recent Developments in Cycle Time Estimation”, Planning Production and Inventories in the Extended Enterprise, (2011)
  • F Yang;JG Liu;BL Nelson;BE Ankenman;M Tongarlak, “Metamodelling for cycle time-throughput-product mix surfaces using progressive model fitting”, Production Planning & Control, (2011)
  • H Wan;BE Ankenman;BL Nelson, “Improving the Efficiency and Efficacy of Controlled Sequential Bifurcation for Simulation Factor Screening”, Informs Journal on Computing, (2010)
  • X Chen;B Ankenman;BL Nelson;B Johansson;S Jain;J MontoyaTorres;J Hugan;E Yucesan, “COMMON RANDOM NUMBERS AND STOCHASTIC KRIGING”, Proceedings of the 2010 Winter Simulation Conference, (2010)
  • Ankenman, B. E; Tamhane, A. C; Qiu, D., “A parametric mixture model for clustering multivariate binary data”, Statistical Analysis and Data Mining, (2010)
  • C HOYLE, W CHEN, B ANKENMAN, et al., “OPTIMAL EXPERIMENTAL DESIGN OF HUMAN APPRAISALS FOR MODELING CONSUMER PREFERENCES IN ENGINEERING DESIGN”, ASME International Design Engineering Technical Conferences/Computers and Information in Engineering Conference, (2009)
  • C Hoyle, W Chen, B Ankenman, N Wang..., “Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in ...”, Journal of Mechanical Design, (2009)
  • B Ankenman, B Nelson, J Staum, “Stochastic kriging for simulation metamodeling. Forthcoming”, Operations Research, (2009)
  • H Wan, BE Ankenman, BL Nelson, “Improving the efficiency and efficacy of CSB for simulation factor screening”, INFORMS Journal on Computing, forthcoming, (2008)
  • B Ankenman, BL Nelson, J Staum, “Stochastic kriging for simulation metamodeling”, Proceedings of the 40th Conference on Winter ..., (2008)
  • MH Tongarlak, B Ankenman, BL Nelson, L ..., “Using simulation early in the design of a fuel injector production line”, Proceedings of the 40th Conference on Winter ..., (2008)
  • Ankenman, B.; Benjamin, S.; Jacob, P., “An innovative design program for engineering students.”, Topics in Stroke Rehabilitation, (2008)