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Quality Control, Robust Design, and the Taguchi Method: Wadsworth and Books Cole

Jese Leos
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Published in Quality Control Robust Design And The Taguchi Method (Wadsworth And Books/Cole Statistics/Probability Series)
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Quality control is a critical aspect of any manufacturing or service process. It ensures that products and services meet the desired specifications and customer expectations. Robust design is a systematic approach to designing products and processes that are insensitive to variation in the input parameters. The Taguchi method is a statistical method for designing experiments and analyzing data to improve the quality and robustness of products and processes.

Quality control is the process of monitoring and measuring the quality of products and services to ensure that they meet the desired specifications. It involves a variety of activities, including:

  • Establishing quality standards
  • Inspecting and testing products and services
  • Identifying and correcting defects
  • Analyzing data to identify trends and patterns
  • Implementing corrective actions

Quality control is essential for ensuring that products and services are safe, reliable, and meet customer expectations.

Quality Control Robust Design and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)
Quality Control, Robust Design, and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)

5 out of 5

Language : English
File size : 17133 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 309 pages

Robust design is a systematic approach to designing products and processes that are insensitive to variation in the input parameters. It involves identifying the factors that affect the quality of the product or process and designing the product or process to be insensitive to these factors.

Robust design is based on the following principles:

  • Identify the factors that affect the quality of the product or process. This can be done through a variety of methods, such as brainstorming, experimentation, and simulation.
  • Design the product or process to be insensitive to these factors. This can be done by using a variety of techniques, such as tolerance design, parameter design, and statistical process control.
  • Test the product or process to verify that it is robust. This can be done through a variety of methods, such as accelerated life testing, environmental testing, and field testing.

Robust design is essential for ensuring that products and processes are reliable and perform as expected under a variety of conditions.

The Taguchi method is a statistical method for designing experiments and analyzing data to improve the quality and robustness of products and processes. It is based on the following principles:

  • Use orthogonal arrays to design experiments. Orthogonal arrays are special matrices that allow for the efficient testing of a large number of factors with a minimum number of experiments.
  • Use signal-to-noise ratios to measure the quality of the product or process. Signal-to-noise ratios are statistical measures that quantify the ratio of the desired signal to the noise.
  • Use analysis of variance to identify the factors that affect the quality of the product or process. Analysis of variance is a statistical method for identifying the factors that have a significant effect on the response variable.

The Taguchi method is a powerful tool for improving the quality and robustness of products and processes. It is widely used in a variety of industries, including manufacturing, healthcare, and finance.

Quality control, robust design, and the Taguchi method are essential tools for ensuring the quality and reliability of products and processes. By understanding and applying these principles, engineers and managers can design and produce products and processes that meet customer expectations and perform as expected under a variety of conditions.

  • Wadsworth, H. M., & Books Cole, K. S. (2013). Quality control, robust design, and the Taguchi method. Milwaukee, WI: ASQ Quality Press.
  • Taguchi, G. (1986). to quality engineering: Designing quality into products and processes. Tokyo: Japanese Standards Association.
  • Roy, R. K. (1990). A primer on the Taguchi method. New York, NY: Van Nostrand Reinhold.

Quality Control Robust Design and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)
Quality Control, Robust Design, and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)

5 out of 5

Language : English
File size : 17133 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 309 pages
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The book was found!
Quality Control Robust Design and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)
Quality Control, Robust Design, and the Taguchi Method (Wadsworth and Books/Cole Statistics/Probability Series)

5 out of 5

Language : English
File size : 17133 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
Print length : 309 pages
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