Taguchi Method Essay

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Pages: 7
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Campus Monterrey

Design and Analysis of Experiments

Research

TAGUCHI METHOD

Fernando de Castro Palomino Siller – A01191233

Thursday, September 17th, 2015

Professor: Héctor Rincón

CONTENT

Introduction ……………………………….………………………………… 3

Why to use Taguchi Method ……………………………….……………. 3-4

Taguchi Method Strategy ……………………………….………………… 4

P-diagram ……………………………….………………………………….. 5

Quality Measurement ……………………………….……………………. 5-6

Signal To Noise (S/N) Ratios ……………………………….…………… 6-7

Static Versus Dynamic S/N Ratios……………………………….………. 7

Steps in Robust Parameter Design ……………………………….……. 7-8

Conclusions ……………………………….……………………………….. 8

Bibliography ……………………………….……………………………….. 9

Introduction …show more content…
The Taguchi Method Strategy uses five primary tools: 1. P-Diagram: it is used to classify the variables associated with the product into noise, control, signal (input), and response (output) factors. 2. Ideal Function is used to mathematically specify the ideal form of the signal-response for making the higher-level system work perfectly. 3. Quality Loss Function is used to quantify the loss caused by the user due to deviation from target performance. 4. Signal-to-Noise Ratio is used for predicting the field quality through laboratory experiments. 5. Orthogonal Arrays are used for gathering dependable information about control factors (design parameters) with a small number of experiments.
P-Diagram

P-Diagram is a must for every development project. It is a way of briefly defining the development scope. First, you identify the signal (input) and response (output) associated with the design concept. Next, consider the factors that are beyond the control of the designer. Those factors are called noise factors. The next step is to specify allowed deviation of the parameters from the nominal values. It involves balancing the added cost of tighter tolerances against the benefits to the customer. The quadratic loss function is very useful for quantifying the impact of these decisions. The process of balancing the cost is called Tolerance Design.

Quality Measurement

In quality improvement and design optimization, the metric plays a crucial role.
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