A Primer on the Taguchi Method

Ön Kapak
Society of Manufacturing Engineers, 1990 - 247 sayfa
A clear, simple and essentially non-mathematical presentation, this practical guide introduces you to the basic concepts, techniques and applications of the renowned Taguchi approach. A Primer on the Taguchi Method introduces the fundamental concepts of Taguchi experimental design and shows engineers how to design, analyze, and interpret experiments using the Taguchi approach for a wide range of common products and processes. Written for manufacturing and production engineers, as well as design engineers and managers, this book explains the most practical ways to apply the Taguchi approach. The Taguchi approach to quality: the power of the Taguchi approach shows how it can be applied to an array of products from automobiles to computers. Learn the extraordinary benefits of building quality into the design, the heart of the Taguchi technique. Numerous real-world examples will help you see how the Taguchi Method works in a variety of manufacturing applications.For those who need a more rigorous statistical treatment, the book's working appendices provide full mathematical details on orthogonal arrays, triangular tables and linear graphs, plus fully worked solutions to problems presented in the example case studies.
 

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İçindekiler

512 REPETITIONS UNDER CONTROLLED NOISE CONDITIONS
94
513 DESIGN AND ANALYSIS SUMMARY
96
EXERCISES
98
Analysis of Variance ANOVA
100
63 ONE WAY ANOVA
106
64 ONE FACTOR TWO LEVEL EXPERIMENTS ONE WAY ANOVA
112
641 Confidence Intervals
116
65 TWO WAY ANOVA
117

EXERCISES
18
Measurement of Quality
19
32 VARIATION AS A QUALITY YARDSTICK
20
33 COST OF VARIATION
22
36 THE TAGUCHI QUALITY STRATEGY
23
37 SELECTING DESIGN PARAMETERS FOR REDUCED VARIATION
24
38 COMMON TERMINOLOGY
27
EXERCISES
28
Procedures of the Taguchi Method and Its Benefits
29
42 UPFRONT THINKING
31
44 EFFECTIVE USE OF STATISTICAL PROCESS CONTROL
32
46 QUANTIFYING COST BENEFITSTAGUCHI LOSS FUNCTION
33
47 SPECIFYING TOLERANCE LEVELS
37
EXERCISES
39
Working Mechanics of the Taguchi Design of Experiments
40
53 DESIGNING THE EXPERIMENT
44
531 Order of Running the Experiments
46
532 Analysis of the Results
47
533 Quality Characteristics
49
534 ANOVA Terms and Notations
50
536 Degrees of Freedom DOF
52
537 Projection of the Optimum Performance
55
54 DESIGNING WITH MORE THAN THREE VARIABLES
56
542 Designs with 3 Level Variables
58
551 Steps in the Design and Analysis Degrees of Freedom DOF
62
552 Interaction Effects
68
553 Key Observations
71
554 More Designs with Interactions
72
56 DESIGNS WITH MIXED FACTOR LEVELS
75
561 Preparation of a 4 Level Column
77
562 Preparation of an 8 Level Column
79
57 DUMMY TREATMENT COLUMN DEGRADING
82
58 COMBINATION DESIGN
87
59 DESIGNING EXPERIMENTS TO INVESTIGATE NOISE FACTORS
90
510 BENEFITING FROM REPETITIONS
91
511 DEFINITION OF SN RATIO
92
66 EXPERIMENTS WITH REPLICATIONS
121
661 Procedures for Pooling
124
67 STANDARD ANALYSIS WITH SINGLE AND MULTIPLE RUNS
126
672 Pooling
134
673 Confidence Interval of Factor Effect
138
674 Estimated Result at Optimum Condition
139
675 Confidence Interval of the Result at the Optimum Condition
140
676 Analysis with Multiple Runs
142
68 APPLICATION OF THE SN RATIO
145
682 Advantage of SIN Ratio over Average
146
683 Computation of the SN Ratio
148
684 Effect of the SN Ratio on the Analysis
150
685 When to Use the SN Ratio for Analysis
154
EXERCISES
155
Loss Function
156
72 AVERAGE LOSS FUNCTION FOR PRODUCT POPULATION
160
EXERCISES
171
BrainstormingAn Integral Part of the Taguchi Philosophy
172
83 TOPICS OF THE DISCUSSIONS
174
84 TYPICAL DISCUSSIONS IN THE SESSION
175
EXERCISES
178
Examples of Taguchi Case Studies
180
92 APPLICATION EXAMPLES INCLUDING DESIGN AND ANALYSIS
181
Study of Crankshaft Surface Finishing Process
185
Automobile Generator Noise Study
189
Engine Idle Stability Study
192
Instrument Panel Structure Design Optimization
194
Study Leading to the Selection of the Worst Case Barrier Test Vehicle
197
Airbag Design Study
202
Transmission Control Cable Adjustment Parameters
203
References
209
Orthogonal arrays triangular tables and linear graphs
210
FTables
217
Glossary
229
Index
231
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Sayfa 11 - ... money was expended in engineering experimentation and testing. Little emphasis was given to the process of creative brainstorming to minimize the expenditure of resources. Dr. Taguchi started to develop new methods to optimize the process of engineering experimentation. He developed techniques that are now known as the Taguchi Methods. His greatest contribution lies not in the mathematical formulation of the design of experiments, but rather in the accompanying philosophy. His approach is more...
Sayfa 11 - Reproduced by permission. approach is more than a method to lay out experiments. His is a concept that has produced a unique and powerful quality improvement discipline that differs from traditional practices. These concepts are: 1 . Quality should be designed into the product and not inspected into it. 2. Quality is best achieved by minimizing the deviation from a target. The product should be so designed that it is immune to uncontrollable environmental factors. 3 . The cost of quality should be...
Sayfa 11 - The technique of defining and investigating all possible conditions in an experiment involving multiple factors is known as the design of experiments.
Sayfa 11 - Taguchi divides quality control efforts into two categories: on-line quality control and off-line quality control. On-line quality control involves diagnosis and adjustment of the process, forecasting and correction of problems, inspection and disposition of product, and follow-up...
Sayfa 11 - While system design helps to identify the working levels of the design factors, parameter design seeks to determine the factor levels that produce the best performance of the product/process under study. The optimum condition is selected so that the influence of the uncontrolled factors (noise factors) causes minimum variation of system performance.

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