CP1 - Quality Improvement by Experimental Design IEMS-307...

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Quality Improvement by Experimental Design Copyright © 2005 by Bruce Ankenman. All rights reserved. 1.1 Copyright © 2014 Bruce Ankenman. All rights reserved Quality Improvement by Experimental Design IEMS-307 Instructor: Bruce Ankenman Text: “Statistics for Experimenters” 2 nd Edition by Box, Hunter, and Hunter Slide Handouts Grading: 15% Homework 20% Midterm 20% Labs 20% Final 25% Project
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Quality Improvement by Experimental Design Copyright © 2005 by Bruce Ankenman. All rights reserved. 1.2 Copyright © 2014 Bruce Ankenman. All rights reserved Syllabus Pretest Announcement Some Quality History and Scientific Context (Chapter 1) Brief Introduction to SPC (Not in Textbook.) Comparing Two Treatments (Blocking and Randomization) (Sections 3.1-3.4) Empirical Models and Regression Analysis (Chapter 10 and Minitab) Planning Experiments Factorial Experiments, Main Effects and Interactions (Sections 5.1-5.15) Model Building. (Chapter 10 and Minitab) Aliasing and Confounding, Fractional Factorial Analysis (Sections 6.1-6.8) Fold-Over Designs, (Section 6.8-6.10) 4- and 8- level factors (Blocking: Sections 5.16 and 6.16) Response Surface Methods (Chapter 11) Data Transformations and Multiple Responses (Chapter 8) Robustness and Split Plot Experiments (Chapter 13) Taguchi Methods, Compare and Contrast (If we get to it.)
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Quality Improvement by Experimental Design Copyright © 2005 by Bruce Ankenman. All rights reserved. 1.3 Copyright © 2014 Bruce Ankenman. All rights reserved Almost any manufacturing company today will claim that “Quality” is one of the most important aspects of their business. This lecture is intended to teach you what is meant by “Quality” and give you knowledge of history, the tools, and management philosophies of quality which today is mostly embodied in the set of practices called “Six Sigma.”
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Quality Improvement by Experimental Design Copyright © 2005 by Bruce Ankenman. All rights reserved. 1.4 Copyright © 2014 Bruce Ankenman. All rights reserved The Quality Movement-Historical Perspective Taylor- Scientific Management (1870) A Scientific basis for dealing with labor » Work standards » Time and motion studies Unintended consequences » Focus on time not quality » Set a limit for improvement » Separation of planning and doing AND inspection and production Shewhart-Statistical Process Control (SPC) (1925) Classified a process as: » In control (affected only by common cause variation) » Out of control (affected by special or assignable causes) Fisher-Design of Experiments for Agriculture (1920’s) Don’t experiment by changing things one at a time. Dodge and Roming-Acceptance Sampling (1930) A probabilistic method for determining if a lot of product contained a certain percentage (AQL) of bad product. Adapted in Military Standard 105E
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Quality Improvement by Experimental Design Copyright © 2005 by Bruce Ankenman. All rights reserved. 1.5 Copyright © 2014 Bruce Ankenman. All rights reserved The Quality Movement-Historical Perspective (Japan) Deming and Juran -SPC Revived in Japan (1940’s and 50’s)
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