BISS Workshop

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Response Surface Methodology: Process and Product Optimization Using Designed Experiments

Response surface methodology (RSM) is a combination of statistical experimental design, empirical modeling, and mathematical optimization techniques used for improving process and product performance. First developed in the chemical industry in the late 1940s, RSM has subsequently been applied in many industrial settings, including discrete parts manufacturing, and the electronics, semiconductor, and processing industries. The first part of this workshop is a comprehensive overview of the primary techniques of RSM, including the method of steepest ascent for moving a process to the vicinity of the optimum, second-order model fitting and analysis to determine appropriate operating conditions, and the basic experimental designs employed (such as the central composite design). The second part of the workshop is an overview of recent research and development in the field, including new information about experimental designs, multiple response optimization, and applications of RSM to robust product and process design. Examples of modern computer software for implementation of RSM will be included.

This course is based on: Myers, R. H. and Montgomery, D. C. (2002), Response Surface Methodology: Process and Product Optimization using Designed Experiments, 2nd edition, John Wiley & Sons, New York.

About the Leader: Dr. Douglas C. Montgomery is Professor of Engineering and Statistics at Arizona State University. Dr. Montgomery's professional interests focus on industrial statistics and quality and reliability engineering, including design of experiments, time series analysis and forecasting, and applications of linear models. He has authored over 150 papers, has supervised 41 doctoral dissertations and 40 masters theses and projects, has served on the editorial board of numerous journals, and has extensive consulting experience. Dr. Montgomery is an author of thirteen books, including Response Surface Methodology, 2nd edition (2002, with R. H. Myers), on which this workshop is based. Dr. Montgomery is a Fellow of ASQC, ASA, RSS, and IIE, and an Elected member of ISI. He has received the Shewhart Medal, the William G. Hunter Award, the Brumbaugh Award, and the Shewell Award (twice) from ASQC. He has also received the Ellis R. Ott Award and several outstanding teacher awards.

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