co-Director of the The Segal Design Institute
co-Director of Design Thinking and Communication
2133 Sheridan Rd.
Evanston, IL 60208
As a design engineer in the automotive parts industry, I found that the job of an engineer 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.
1. Charles Deering McCormick Professor of Teaching Excellence 2012-2015.
2. 2013 INFORMS Simulation Society Outstanding Simulation Publication Award for Stochastic Kriging for Simulation Metamodeling, Operations Research, 2010.
3. NAE Frontiers of Engineering Education Symposium Participant, Irvine, CA. October, 2012.
4. Named to the Northwestern Associated Student Government Faculty Honor Roll. 2007
5. Visiting Fellow at the University of Southampton for 2004/2005.
6. McCormick School of Engineering Advisor of the Year - 2002
7. Morris E. Fine Junior Professor of Materials and Manufacturing, 1996-1999.
Ankenman, B.E., Cheng, R.C.H., Lewis, S. M. (2014) Screening for Dispersion Effects by Sequential Bifurcation. ACM: Transactions on Modeling and Computer Simulation, forthcoming.
Alaeddini, A., Yang, K., Mao, H., Murat, A., and Ankenman, B. (2013) An Adaptive Sequential Experimentation Methodology for Expensive Response Surface Optimization - Case Study in Traumatic Brain Injury Modeling, Quality and Reliability Engineering International, forthcoming.
Dingus, C., Ankenman, B., Dean, A., and Sun, F. (2013) Identification of dispersion effects in replicated two-level fractional factorial experiments, Journal of Statistical Theory and Practice, 7, 687-702.
Alaeddini, A., Yang, K., Murat, A., and Ankenman, B. (2012) An Efficient Adaptive Sequential Methodology for Expensive Response Surface Optimization, Quality and Reliability Engineering International, 29, 799–817.
Chen, X., Ankenman, B. E. and Nelson, B. L. (2012) Enhancing Stochastic Kriging Metamodels with Gradient Estimators, Operations Research, 61, 512-528.
Chen, X., Ankenman, B. E., and Nelson, B. L. (2012) The Effects of Common Random Numbers on Stochastic Kriging Metamodels, ACM: Transactions on Modeling and Computer Simulation, 22, 7/1-7/20.
Yang, F., Liu, J., Nelson, B. L., Ankenman, B. E. and Tongarlak, M. (2011) Metamodeling for cycle time-throughput-product mix surfaces using progressive model fitting, Production Planning and Control, 22, 50-68.
Tamhane, A. C., Qiu, D., and Ankenman, B. E. (2010) A parametric mixture model for clustering multivariate binary data, Statistical Analysis and Data Mining, 3, 3-19.
Tongarlak, M. H., Ankenman, B. E., Nelson, B. L., Borne, L. and Wolfe, K. (2010), Using Simulation Early in the Design of a Fuel Injector Production Line, Interfaces, 40, 107-117.
Wan, H., Ankenman, B. E. and Nelson, B. L. (2010). Improving the Efficiency and the Efficacy of Controlled Sequential Bifurcation, INFORMS Journal on Computing, 22, 482-492.
Ankenman, B. E., Nelson, B. L. and Staum, J. (2010) Stochastic Kriging for Simulation Metamodeling, Operations Research, 58, 371-382.
Hoyle, C., Chen, W., Ankenman, B., Wang, N. (2009), Optimal Experimental Design of Human Appraisals for Modeling Consumer Preferences in Engineering Design, ASME Journal of Mechanical Design, 131, 071002.
Ankenman B., Benjamin S., and Jacob P. (2008) An innovative design program for engineering students, Topics in Stroke Rehabilitation, 15, 145-145.
Yang, F., Ankenman, B. E., and Nelson, B. L. (2008) Estimating Cycle Time Percentile Curves for Manufacturing Systems via Simulation, INFORMS Journal on Computing, 20, 628-643.
Wan, H. and Ankenman, B. E. (2007) Two-Stage Controlled Fractional Factorial Screening for Simulation Experiments, Journal of Quality Technology, 39, 126-139.
Yang, F., Ankenman, B. E., and Nelson, B. L. (2007) Efficient Generation of Cycle Time-Throughput Curves through Simulation and Metamodeling, Naval Research Logistics, 54, 78-93.
Easter, E. P. and Ankenman B. E. (2006) Evaluation of the care and performance of comfort-stretch knit fabrics, AATCC Review, 6, 28-32.
Wan, H., Ankenman, B. E. and Nelson, B. L. (2006). Controlled Sequential Bifurcation:A New Factor-Screening Method for Discrete-Event Simulation, Operations Research, 54, 743-755.
Easter, E. P. and Ankenman B. E. (2005) A comparison of soil repellent vs. dual action fluorocarbon finishes on cotton blends. AATCC Review, 5, 27-31.
Easter, E. P. and Ankenman B. E. (2004) Care practices for fluorocarbon treated garments: A case study. AATCC Review, 4, 12-16.
Ankenman, B., Colgate J. E., and McKenna A. (2004). IDEA, Implementing design throughout the curriculum at Northwestern, International Journal of Engineering Education, 20,405-411.
Ankenman, B. E. (2003). Identifying Rising Ridge Behavior in Quadratic Response Surfaces, IIE Transactions, 35, 493-502.
Ankenman, B. E., Aviles, A. I. and Pinhiero, J. C. (2003). Optimal Designs for Mixed-Effects Models with two Random Nested Factors, Statistica Sinica, 13, 385-401.
Tamhane, A. C., Ankenman, B. E. and Yang, Y. (2002). The Beta Distribution as a Latent Response Model for Ordinal Data (I): Estimation of Location and Dispersion, Journal of Statistical Computation and Simulation, 72, 473-494.
Ankenman, B. E., Liu, H., Karr, A. F. and Picka, J. D. (2002). A Class of Experimental Designs for Estimating a Response Surface and Variance Components, Technometrics, 44, 45-54.
Rapoport, J., Aldea, C. M., Shah, S. P., Ankenman, B. E. and Karr, A. F. (2002). Permeability of Cracked Steel Fiber-Reinforced Concrete, ASCE Journal of Materials in Civil Engineering, 14, 355-358.
Akkaya, Y., Shah, S. P. and Ankenman, B. E. (2001). Effect of Fiber Dispersion on the Multiple Cracking of Cement Composites, Journal of Engineering Mechanics, 127, 311-316.
Alberts, K. S. and Ankenman, B. E. (2001). Simulating Pearson and Spearman Correlation in Q-Sorts Using Excel: A Simulation Proof of a Widely-Believed Result, Social Science Computer Review, 19, 221-226.
McDaniel, W. R. and Ankenman, B. E. (2000). Comparing Experimental Design Strategies for Quality Improvement with Minimal Changes to Factor Levels, Quality and Reliability Engineering International, 16, 355-362.
Ankenman, B. E. and McDaniel, W. R. (2000). A p Chart for Monitoring Capability Using Sensitivity Data, Quality Engineering, 12, 462-469.
Jaiswal, S. S., Picka, J. D., Igusa, T., Karr, A. F., Shah, S. P., Ankenman, B. E. and Styer, P. (2000). Statistical Studies of the Conductivity of Concrete Using ASTM C1202-94, Concrete Science and Engineering, 2, 97-105.
Ankenman, B. E. (1999). Design of Experiments with Two-Level and Four-Level Factors, Journal of Quality Technology, 31, 363-375. Tables of Designs
Bisgaard, S. and Ankenman, B. (1996). Standard Errors for the Eigenvalues in Second Order Response Surface Models, Technometrics, 38, 238-246.
Bisgaard, S. and Ankenman, B. (1995). Analytic Parameter Design, Quality Engineering, 8, 75-91.
Ankenman, B., Bisgaard, S. and Osswald, T. A. (1994). Experimental Optimization of Computer Models, Manufacturing Review, 7, 332-345.
Duan, W., Ankenman, B. E., Sanchez, S., and Sanchez, P. Sliced Full-Factorial Latin Hyper Cube Designs as a Framework for a Batch Sequential Design Algorithm. Under revision at Technometrics.
Ankenman, B. E., & Nelson, B. L. (2012, December). A quick assessment of input uncertainty. In Simulation Conference (WSC), Proceedings of the 2012 Winter (pp. 1-10). IEEE.
Tongarlak, M. H., Ankenman, B. E., & Nelson, B. L. (2011, December). Relative error stochastic kriging. In Proceedings of the Winter Simulation Conference (pp. 3628-3640). Winter Simulation Conference.
Chen, X., Ankenman, B., & Nelson, B. L. (2010, December). Common random numbers and stochastic kriging. In Proceedings of the Winter Simulation Conference (pp. 947-956). Winter Simulation Conference.
Ankenman, B., Nelson, B. L., & Staum, J. (2008, December). Stochastic kriging for simulation metamodeling. In Proceedings of the 40th Conference on Winter Simulation (pp. 362-370). Winter Simulation Conference.
Tongarlak, M. H., Ankenman, B., Nelson, B. L., Borne, L., & Wolfe, K. (2008, December). Using simulation early in the design of a fuel injector production line. In Proceedings of the 40th Conference on Winter Simulation (pp. 471-478). Winter Simulation Conference.
Fowler, J. W., Mackulak, G. T., Nelson, B. L., & Ankenman, B. (2007). Multi-Product Cycle Time and Throughput Evaluation Via Simulation on Demand. In Proceedings of the 2007 INFORMS Simulation Society Research Workshop.
Yang, Feng, Liu, J., Tongarlak, M. H., Ankenman, B., Nelson, B. L. (2007). Metamodelling for Cycle Time-throughput-product Mix Surfaces Using Progressive Model Fitting. In Proceedings of the 2007 INFORMS Simulation Society Research Workshop.
Ankenman, B. E., Cheng, R. C., & Lewis, S. M. (2006, December). A polytope method for estimating factor main effects efficiently. In Simulation Conference, 2006. WSC 06. Proceedings of the Winter (pp. 369-375). IEEE.
Yang, F., Ankenman, B. E., & Nelson, B. L. (2005, December). Estimation of percentiles of cycle time in manufacturing simulation. In Simulation Conference, 2005 Proceedings of the Winter (pp. 10-pp). IEEE.
Johnson, R. T., Yang, F., Ankenman, B. E., & Nelson, B. L. (2004). Nonlinear regression fits for simulated cycle time vs. throughput curves for semiconductor manufacturing. In Simulation Conference, 2004. Proceedings of the 2004 Winter (Vol. 2, pp. 1951-1955). IEEE.
Wan, H., Ankenman, B., & Nelson, B. L. (2003). Issues on simulation and optimization I: controlled sequential bifurcation: a new factor-screening method for discrete-event simulation. In Proceedings of the 35th conference on Winter simulation: driving innovation (pp. 565-573). Winter Simulation Conference.
Ankenman, B. E., Bekki, J. M., Fowler, J., Mackulak, G. T., Nelson, B. L., and Yang, F. (2011) Simulation in Production Planning, Chapter 19 in Planning Production and Inventories in the Extended Enterprise: A State of the Art Handbook, Volume 1, International Series in Operations Research & Management Science, Springer, Eds: Kenmpf, K. G. and Uzsoy, R.
Ankenman, B. E. (2008) Robust Design, Chapter 40 in Encyclopedia of Statistics in Quality and Reliability, John Wiley, Eds: Ruggeri, F., Kennet, R. and Faltin, F.
Ankenman, B. E. and Dean, A. M. (2003). Quality Improvement and Robustness via Design of Experiments, Chapter 8 in Handbook of Statistics, Vol. 22, Elsevier Science, Eds: Khattree, R. and Rao, C. R., 263-317.