Genichi Taguchi

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Genichi Taguchi
田口 玄一
Born(1924-01-01)January 1, 1924
Scientific career
Fieldsengineering, statistics
InstitutionsAoyama Gakuin University

Genichi Taguchi (田口 玄一, Taguchi Gen'ichi, January 1, 1924 – June 2, 2012) was an engineer and statistician.[1] From the 1950s on, Taguchi developed a methodology for applying statistics to improve the quality of manufactured goods. Taguchi methods have been controversial among some conventional Western statisticians,[2][3] but others have accepted many of the concepts introduced by him as valid extensions to the body of knowledge.

Biography

Taguchi was born and raised in the textile town of

Niigata prefecture. He initially studied textile engineering at Kiryu Technical College with the intention of entering the family kimono business.[4] However, with the escalation of World War II in 1942, he was drafted into the Astronomical Department of the Navigation Institute of the Imperial Japanese Navy
.

After the war, in 1948 he joined the

Matosaburo Masuyama, who kindled his interest in the design of experiments. He also worked at the Institute of Statistical Mathematics during this time,[4] and supported experimental work on the production of penicillin at Morinaga Pharmaceuticals, a Morinaga Seika
company.

In 1950, he joined the Electrical Communications Laboratory (ECL) of the Nippon Telegraph and Telephone Corporation just as statistical quality control was beginning to become popular in Japan,[4] under the influence of W. Edwards Deming and the Union of Japanese Scientists and Engineers. ECL was engaged in a rivalry with Bell Labs to develop cross bar and telephone switching systems, and Taguchi spent his twelve years there developing methods for enhancing quality and reliability. Even at this point, he was beginning to consult widely in Japanese industry, with Toyota being an early adopter of his ideas.

During the 1950s, he collaborated widely and in 1954-1955 was visiting professor at the Indian Statistical Institute, where he worked with C. R. Rao, Ronald Fisher and Walter A. Shewhart.[5] While working at the SQC Unit of ISI, he was introduced to the orthogonal arrays invented by C. R. Rao - a topic which was to be instrumental in enabling him to develop the foundation blocks of what is now known as Taguchi methods.

On completing his doctorate at

ITT
.

Since 1982, Genichi Taguchi has been an advisor to the Japanese Standards Institute and executive director of the American Supplier Institute, an international consulting organisation.[8] His concepts pertaining to experimental design, the loss function, robust design, and the reduction of variation have influenced fields beyond product design and manufacturing, such as sales process engineering.[9]

Contributions

Taguchi has made a very influential contribution to industrial statistics. Key elements of his quality philosophy include the following:

  1. Taguchi loss function, used to measure financial loss to society resulting from poor quality;
  2. The philosophy of off-line quality control, designing products and processes so that they are insensitive ("robust") to parameters outside the design engineer's control.
  3. Innovations in the statistical design of experiments, notably the use of an outer array for factors that are uncontrollable in real life, but are systematically varied in the experiment.

Honours

Book

References

  1. ^ "ASI Mourns the Loss of Dr. Genichi Taguchi". Asiusa.com. 2012-03-28. Archived from the original on 2012-10-19. Retrieved 2012-06-26.
  2. ^ Wadsworth, Harrison M. (1997). Handbook of statistical methods for engineers and scientists (2nd ed.). New York: McGraw-Hill Professional.
  3. ^ Smith, Gerald F. (1998). Quality problem solving. American Society for Quality. pp. 250?251.
  4. ^ a b c d "Genichi Taguchi". American Society for Quality.
  5. ^ a b Jayaswal, Bijay K.; Peter C. Patton (2006). Design for Trustworthy Software: Tools, Techniques, and Methodology of Developing Robust Software. Prentice Hall. p. 44.
  6. ISSN 0018-9529
    .
  7. ^ Gen'ichi TAGUCHI (March 1962). Studies on mathematical statistics for quality control. Doctoral thesis. Kushu University.
  8. ^ "About ASI". American Supplier Institute. Archived from the original on 2009-04-02. Retrieved 2009-04-22.
  9. ^ Selden, Paul H. (1997). Sales Process Engineering: A Personal Workshop. Milwaukee, WI: ASQ Quality Press. pp. 156?158, 169, 237.

External links