Better than a Petaflop: The Power for Efficient Experimental Design / Proceedings of the 2009 Winter Simulation Conference
Sanchez, Susan M.
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Recent advances in high-performance computing have pushed computational capabilities to a petaflop (a thousand trillion operations per second) in a single computing cluster. This breakthrough has been hailed as a way to fundamentally change science and engineering by letting people perform experiments that were previously beyond reach. But for those interested in exploring the I/O behavior of their simulation model, efficient experimental design has a much higher payoff at a much lower cost. A well-designed experiment allows the analyst to examine many more factors than would otherwise be possible, while providing insights that cannot be gleaned from trial-and-error approaches or by sampling factors one at a time. We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. Ideally, this tutorial will entice you to use experimental designs in your upcoming simulation studies.
Approved for public display, distribution unlimitedSUSAN M. SANCHEZ is a Professor in Operations Research at the Naval Postgraduate School, and Co-Director of the Simulation Experiments & Efficient Design (SEED) Center for Data Farming. She also holds a joint appointment in the Graduate School of Business & Public Policy. She has a B.S. in Industrial & Operations Engineering from the University of Michigan, and a Ph.D. in Operations Research from Cornell. She has been active in various service capacities within the simulation community over many years, and is currently on the WSC Board of Directors. Her web page is <http://faculty.nps.edu/smsanche/> and her email is <email@example.com>. HONG WAN is an Assistant Professor in the School of Industrial Engineering at Purdue University. She is currently visiting the department of Operations Research at Naval Postgraduate School. Her research interests include design and analysis of simulation experiments, simulation optimization, applied statistics, quality management, and healthcare engineering. She has taught a variety of courses and is a member of INFORMS and ASA. Her email address is <firstname.lastname@example.org> and her web page is <http://web.ics.purdue.edu/hwan>.
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