Stochastic kriging for simulation metamodeling B Ankenman, BL Nelson, J Staum Operations research 58 (2), 371-382, 2010 | 868 | 2010 |
Permeability of cracked steel fiber-reinforced concrete J Rapoport, CM Aldea, SP Shah, B Ankenman, A Karr Journal of materials in civil engineering 14 (4), 355-358, 2002 | 185 | 2002 |
Effect of fiber dispersion on multiple cracking of cement composites Y Akkaya, SP Shah, B Ankenman Journal of Engineering Mechanics 127 (4), 311-316, 2001 | 135 | 2001 |
Controlled sequential bifurcation: A new factor-screening method for discrete-event simulation H Wan, BE Ankenman, BL Nelson Operations Research 54 (4), 743-755, 2006 | 122 | 2006 |
Comparison of Gaussian process modeling software CB Erickson, BE Ankenman, SM Sanchez European Journal of Operational Research 266 (1), 179-192, 2018 | 104 | 2018 |
The effects of common random numbers on stochastic kriging metamodels X Chen, BE Ankenman, BL Nelson ACM Transactions on Modeling and Computer Simulation (TOMACS) 22 (2), 1-20, 2012 | 100 | 2012 |
Enhancing stochastic kriging metamodels with gradient estimators X Chen, BE Ankenman, BL Nelson Operations Research 61 (2), 512-528, 2013 | 98 | 2013 |
Efficient generation of cycle time‐throughput curves through simulation and metamodeling F Yang, B Ankenman, BL Nelson Naval Research Logistics (NRL) 54 (1), 78-93, 2007 | 91 | 2007 |
Standard errors for the eigenvalues in second-order response surface models S Bisgaard, B Ankenman Technometrics 38 (3), 238-246, 1996 | 89 | 1996 |
Estimating cycle time percentile curves for manufacturing systems via simulation F Yang, BE Ankenman, BL Nelson INFORMS Journal on Computing 20 (4), 628-643, 2008 | 58 | 2008 |
Improving the efficiency and efficacy of controlled sequential bifurcation for simulation factor screening H Wan, BE Ankenman, BL Nelson INFORMS Journal on Computing 22 (3), 482-492, 2010 | 57 | 2010 |
A quick assessment of input uncertainty BE Ankenman, BL Nelson Proceedings of the 2012 Winter Simulation Conference (WSC), 1-10, 2012 | 53 | 2012 |
Analytic parameter design S Bisgaard, B Ankenman Quality Engineering 8 (1), 75-91, 1995 | 53 | 1995 |
Optimal experimental design of human appraisals for modeling consumer preferences in engineering design C Hoyle, W Chen, B Ankenman, N Wang | 47 | 2009 |
Simulation in production planning: an overview with emphasis on recent developments in cycle time estimation BE Ankenman, JM Bekki, J Fowler, GT Mackulak, BL Nelson, F Yang Planning Production and Inventories in the Extended Enterprise: A State of …, 2011 | 38 | 2011 |
Optimal designs for mixed-effects models with two random nested factors BE Ankenman, AI Avilés, JC Pinheiro Statistica Sinica, 385-401, 2003 | 38 | 2003 |
Design of experiments with Two-and Four-level factors BE Ankenman Journal of Quality Technology 31 (4), 363-375, 1999 | 38 | 1999 |
Metamodelling for cycle time-throughput-product mix surfaces using progressive model fitting F Yang, J Liu, BL Nelson, BE Ankenman, M Tongarlak Production Planning and Control 22 (1), 50-68, 2011 | 36 | 2011 |
Sliced full factorial-based Latin hypercube designs as a framework for a batch sequential design algorithm W Duan, BE Ankenman, SM Sanchez, PJ Sanchez Technometrics 59 (1), 11-22, 2017 | 31 | 2017 |
Nonlinear regression fits for simulated cycle time vs. throughput curves for semiconductor manufacturing RT Johnson, F Yang, BE Ankenman, BL Nelson Proceedings of the 2004 Winter Simulation Conference, 2004. 2, 1951-1955, 2004 | 28 | 2004 |