Statistics and Reliability Meeting: June 14

Statistics and Reliability Meeting: June 14

Please forward this invitation to your friends and colleagues.

The ASQ Silicon Valley Statistics and Reliability Discussion Group cordially invites you to
attend an outstanding FREE presentation. Welcome IEEE and ASA members.

TOPIC:  Systematic Problem Solving

SPEAKER:   John J. Flaig, PhD, FASQ

Chair and Moderator: Dr. John Flaig
Assistant Chair: Dr. Don Mintz
Corporate Sponsor: Applied Materials
Sponsor: Mr. Ravi Chandra from Applied Materials


This talk outlines a structured approach to problem solving. It shows you how to organize the problem solving team and how to generate and analyze data to produce information. You will learn how to attack problems where there is data, where there is no data, and where data must be generated in order to arrive at an effective and efficient solution. The talk covers the basic subjective problem solving tools (brainstorming, five whys, fault tree analysis, and fishbone diagram) plus innovative new techniques such as TRIZ, HU, and quantitative methods like Probabilistic Causality, Causation Theory, Virtual DOE, Data Mining, Neural Networks and Design of Experiments. 

If you have problems to solve, this talk will provide a basic starting point for improving your skills.    


John J. Flaig, Ph.D. is a Fellow of the American Society for Quality (ASQ) and is managing director of Applied Technology, a consulting, training, and publishing company ( and Training BLOG He is Chair of the ASQ’s Statistics and Reliability group and was previously Program Chair for the Silicon Valley ASQ’s Annual Quality Conference, the Scholarship and Awards program, and the Education program. His industry experience spans more than forty years where he was employed in everything from small startup operations to some of the largest companies in the world such as Apple, Applied Materials, and Hewlett-Packard. He is Advisor to and Adjunct Professor for the International Technological University. In addition he is Analytics Advisor to 1factory a Supplier Quality Management software company.

Dr. Flaig has published over twenty peer reviewed research papers in areas such as process capability analysis, adaptive control charts, factor effects analysis and SPC, optimal resource allocation, and supplier management. In addition he has published over seventy Quality Technology related articles in the popular press. He was formerly a member of the Editorial Board of Quality Engineering a journal of the ASQ, and Associate Editor of Quality Technology and Quantitative Management a journal of the International Chinese Association of Quantitative Management. 

John has given lectures and seminars in Europe, Asia and throughout the United States. His special interests are in statistical process control, process capability analysis, supplier management, design of experiments, failure mode and effects analysis, variation analysis, systematic problem solving, causation analysis, and process optimization. He holds a doctorate in engineering and technology management from California Southern University, a master’s degree in mathematics from the University of California, and a bachelor’s degree majoring in mathematics and economics from California State Polytechnic University. Dr. Flaig received the 2012 Distinguished Alumnus Award from Cal Poly’s College of Science.

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