Quality Engineering Using Robust Design, 1/e
Madhav S. Phadke
Published December, 1995 by Prentice Hall PTR (ECS Professional)
Copyright 1989, 250 pp.
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This book shows how to design high-quality products
and processes at low cost using a unique approach
that makes product/process engineering much more
efficient and systematic.
explores an innovative method (based on
the Taguchi Method) of design optimization for
performance, quality, and cost the Robust
shows how to do many things which
involve: 1) making product performance
insensitive to raw material variation,
2) developing designs that are robust against
manufacturing variation, 3) using designs that
are the least sensitive to changes in the
operating environment, 4) taking advantage of a
structured development process that allows
engineering time to be used most productively,
5) using orthogonal arrays to study a large
number of decision variables with a small numbers
of experiments, and 6) investigating and putting
to work a measure of quality called
signal-to-noise (S/N) ratio to predict the quality
of a product from the customer's perspective.
focuses on the actual engineering
problems rather than statistical theory.
features a series of real case studies
that relate the method to the fabrication of
integrated circuits, circuit design, computer
tuning, and mechanical routing.
2. Principles of Quality Engineering.
3. Matrix Experiments Using
4. Steps in Robust Design.
5. Signal-to-Noise Ratios.
6. Quality Characteristics.
7. Constructing Orthogonal Arrays.
8. Computer-Aided Robust Design.
9. Design of Dynamic Systems.
10. Tuning Computer Systems for High
11. Reliability Improvement.
Appendix A: Orthogonality of a Matrix
Appendix B: Unconstrained Optimization.
Appendix C: Standard Orthogonal Arrays
and Linear Graphs.