Dear community,
We invite you to participate in the second tutorial of the 2026 QSR Tutorial Series. The goal of the series is to provide QSR members and the general public with accessible, high-quality tutorials that expand their knowledge of emerging research areas and practical tools in quality, statistics, and reliability. The information of the second tutorial is below. We look forward to seeing you there!
OMARS Designs: Small Experimental Designs for Product and Process Optimization
Design of Experiments or Experimental Design is a powerful method for systematically exploring the joint impact of multiple inputs to a system on one or more outputs. Traditionally, a two-step approach was used: a screening experiment was performed to identify the most influential factors, followed by a response surface experiment to study these factors in detail. Modern approaches to design of experiments, however, combine screening and response surface experiments in one. This has become possible due to the introduction of a new class of experimental designs, called orthogonal minimally aliased response surface or OMARS designs. OMARS designs bridge the gap between definitive screening designs and traditional response surface designs, and offer the opportunity to save substantial time and cost, and to speed up innovation, research and development. This tutorial discusses the technical properties of OMARS design and demonstrates their usefulness using applications in product and process development in the chemical and pharmaceutical industries.
Dr. Peter Goos
Full Professor at University of Leuven
Co-Founder of EFFEX
Full Professor at University of Antwerp
Dr. Peter Goos is a full professor at the Faculty of Bio-Science Engineering of the University of Leuven and at the Faculty of Business and Economics of the University of Antwerp, where he teaches various introductory courses on statistics and probability. His main research area is the statistical design and analysis of experiments. Besides a number of articles in top scientific journals in marketing, transportation, quality, operations research and statistics, he published the books "The Optimal Design of Blocked and Split-Plot Experiments" and "Optimal Experimental Design: A Case-Study Approach". For his work, Peter Goos has received the Brumbaugh Award, the Youden Award, the Shewell Award and the Lloyd S. Nelson Award of the American Society for Quality, the Ziegel Award and the Statistics in Chemistry Award from the American Statistical Association, and the Young Statistician Award of the European Network for Business and Industrial Statistics.
March 27, 2026 3:00pm (EDT)
Zoom Link: https://kaist.zoom.us/j/89249592498
Kind regards,
The Organizing Committee:
Alan R. Vazquez, Tecnologico de Monterrey
Heeyoung Kim, KAIST
William Fisher, JMP
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Alan R. Vazquez
Assistant Professor
Tecnologico de Monterrey
Monterrey, Mexico
https://alanrvazquez.netlify.app/------------------------------