Susan Marie Sanchez

Awards

• 2017 - INFORMS Fellow, INFORMS (Institute of Operations Research and the Management Sciences)
• 2016 - Titan of Simulation, Winter Simulation Conference
• 2015 - Gus Schaefer Award, Defence Operations Research Symposium (DORS), held concurrently with MODSIM2015, Gold Coast, Australia
• 2015 - International Keynote Speaker, Defence Operations Research Symposium 2015, held concurrently with MODSIM2015, Gold Coast, Australia.
• 2014 - NATO Scientific Achievement Award, NATO Science & Technology Organization
• 2014 - Richard W. Hamming Faculty Award for Interdisciplinary Activities, NPS Foundation
• 2013 - Bernard Koopman Prize, INFORMS Military Applications Society

Scholarly Work

• Book Chapter
• Sanchez, S. M., & Sanchez, P. J, (2017). Better Big Data via Data Farming Experiments. Advances in Modeling and Simulation - Seminal Research from 50 Years of Winter Simulation Conferences (pp. 159-179). Springer International Publishing AG.

• Conference Proceeding
• Sanchez, S. M, (2018). Data farming: Better data, not just big data. Piscataway, New Jersey IEEE.
• Sanchez, S. M., Sanchez, P. J., & Purdue University, H. W, (2018). Work smarter, not harder: A tutorial on designing and conducting simulation experiments. Piscataway, New Jersey IEEE.
• Marlow, D. O., Sanchez, S. M., & Sanchez, P. J, (2017). Assessing the impact of the bathtub failure rate curve on fleet performance using designed simulation experiments. Australia, December:
• Sanchez, P. J., & Sanchez, S. M, (2015). A Scalable Discrete Event Stochastic Agent-Based Model of Infectious Disease Propagation. US: IEEE.
• Marlow, D. O., Sanchez, S. M., & Sanchez, P. J, (2015). Testing aircraft fleet management policies using designed simulation experiments. Australia: Modelling and Simulation Society of Australia and New Zealand.
• Kang, K., Doerr, K. H., & Sanchez, S. M, (2006). A design of experiments approach to readiness risk analysis.

• Journal Article
• Erickson, C., Ankenman, B. E., & Sanchez, S. M, (2018). Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages. Data in Brief, (18), 684-687.
• Sanchez, S. M, (2018). Data farming: reaping insights from simulation models. Chance, 2(31), 45-52.
• Erickson, C., Ankenman, B. E., & Sanchez, S. M, (2018). Comparison of Gaussian process modeling software. European Journal of Operational Research, 2018(266), 179-192.
• Duan, W., Ankenman, B. E., Sanchez, S. M., & Sanchez, P. J, (2017). Sliced full factorial-based Latin hypercube designs as a framework for a batch sequential design algorithm. Technometrics, 1(59), 11-22.