Using Taguchi methods for industrial process optimization.: An article from: Journal of Academy of Business and Economics
Book Details
Author(s)J.S. Sutterfield, Angela T. Lewis
ISBN / ASINB005C8BZNQ
ISBN-13978B005C8BZN9
MarketplaceFrance 🇫🇷
Description
This digital document is an article from Journal of Academy of Business and Economics, published by International Academy of Business and Economics on March 1, 2009. The length of the article is 6449 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available immediately after purchase. You can view it with any web browser.
From the author: This study employs Taguchi methods to determine optimal production quantities for animal survival rates. Taguchi methods are used to analyze data previously analyzed using classical experimental design methods. However, Taguchi methods are used to evaluate the impact of interactions among control variables. Using this data, the use of the Taguchi methods was found to significantly extend the results arrived at with classical experimental design, by examining interaction effects of the second, third and fourth order orders. In addition, the maximum survival times are estimated for each toxin level, and the range of antitoxin levels at which each maximum occurs. This is done to provide a starting point for future investigation. This paper fills a void in the literature by using an example from the administration of antitoxins to demonstrate a general method for using Taguchi methods to estimate optimal production quantities.
Citation Details
Title: Using Taguchi methods for industrial process optimization.
Author: J.S. Sutterfield
Publication:Journal of Academy of Business and Economics (Magazine/Journal)
Date: March 1, 2009
Publisher: International Academy of Business and Economics
Volume: 9 Issue: 3 Page: 188(12)
Distributed by Gale, a part of Cengage Learning
From the author: This study employs Taguchi methods to determine optimal production quantities for animal survival rates. Taguchi methods are used to analyze data previously analyzed using classical experimental design methods. However, Taguchi methods are used to evaluate the impact of interactions among control variables. Using this data, the use of the Taguchi methods was found to significantly extend the results arrived at with classical experimental design, by examining interaction effects of the second, third and fourth order orders. In addition, the maximum survival times are estimated for each toxin level, and the range of antitoxin levels at which each maximum occurs. This is done to provide a starting point for future investigation. This paper fills a void in the literature by using an example from the administration of antitoxins to demonstrate a general method for using Taguchi methods to estimate optimal production quantities.
Citation Details
Title: Using Taguchi methods for industrial process optimization.
Author: J.S. Sutterfield
Publication:Journal of Academy of Business and Economics (Magazine/Journal)
Date: March 1, 2009
Publisher: International Academy of Business and Economics
Volume: 9 Issue: 3 Page: 188(12)
Distributed by Gale, a part of Cengage Learning
