Global Information Lookup Global Information

Taguchi loss function information


The Taguchi loss function is graphical depiction of loss developed by the Japanese business statistician Genichi Taguchi to describe a phenomenon affecting the value of products produced by a company. Praised by Dr. W. Edwards Deming (the business guru of the 1980s American quality movement),[1] it made clear the concept that quality does not suddenly plummet when, for instance, a machinist exceeds a rigid blueprint tolerance. Instead 'loss' in value progressively increases as variation increases from the intended condition. This was considered a breakthrough in describing quality, and helped fuel the continuous improvement movement.

The concept of Taguchi's quality loss function was in contrast with the American concept of quality, popularly known as goal post philosophy, the concept given by American quality guru Phil Crosby. Goal post philosophy emphasizes that if a product feature doesn't meet the designed specifications it is termed as a product of poor quality (rejected), irrespective of amount of deviation from the target value (mean value of tolerance zone). This concept has similarity with the concept of scoring a 'goal' in the game of football or hockey, because a goal is counted 'one' irrespective of the location of strike of the ball in the 'goal post', whether it is in the center or towards the corner. This means that if the product dimension goes out of the tolerance limit the quality of the product drops suddenly.

Through his concept of the quality loss function, Taguchi explained that from the customer's point of view this drop of quality is not sudden. The customer experiences a loss of quality the moment product specification deviates from the 'target value'. This 'loss' is depicted by a quality loss function and it follows a parabolic curve mathematically given by L = k(y–m)2, where m is the theoretical 'target value' or 'mean value' and y is the actual size of the product, k is a constant and L is the loss. This means that if the difference between 'actual size' and 'target value' i.e. (ym) is large, loss would be more, irrespective of tolerance specifications. In Taguchi's view tolerance specifications are given by engineers and not by customers; what the customer experiences is 'loss'. This equation is true for a single product; if 'loss' is to be calculated for multiple products the loss function is given by L = k[S2 + ( – m)2], where S2 is the 'variance of product size' and is the average product size.

  1. ^ Deming, W. Edwards (1993). The New Economics: For Industry, Government, Education. MIT Press. ISBN 0-911379-05-3.

and 23 Related for: Taguchi loss function information

Request time (Page generated in 0.8532 seconds.)

Taguchi loss function

Last Update:

The Taguchi loss function is graphical depiction of loss developed by the Japanese business statistician Genichi Taguchi to describe a phenomenon affecting...

Word Count : 467

Taguchi methods

Last Update:

some of Taguchi's proposals.[citation needed] Taguchi's work includes three principal contributions to statistics: A specific loss function The philosophy...

Word Count : 2735

Genichi Taguchi

Last Update:

Genichi Taguchi (田口 玄一, Taguchi Gen'ichi, January 1, 1924 – June 2, 2012) was an engineer and statistician. From the 1950s on, Taguchi developed a methodology...

Word Count : 1048

Six Sigma

Last Update:

analysis (Customer centric version/perspective of SIPOC) Taguchi methods/Taguchi Loss Function Value stream mapping Experience has shown that processes...

Word Count : 6037

Engineering tolerance

Last Update:

deviation from target, the greater is the loss. This is described as the Taguchi loss function or quality loss function, and it is the key principle of an alternative...

Word Count : 1729

List of statistics articles

Last Update:

info Taguchi loss function Taguchi methods Tajima's D Taleb distribution Tampering (quality control) Taylor expansions for the moments of functions of random...

Word Count : 8290

Outline of machine learning

Last Update:

Waffles Weka Loss function Loss functions for classification Mean squared error (MSE) Mean squared prediction error (MSPE) Taguchi loss function Low-energy...

Word Count : 3582

Process capability index

Last Update:

real risks of having a part borderline out of specification. The loss function of Taguchi better illustrates this concept. At least one academic expert recommends...

Word Count : 965

Lean dynamics

Last Update:

flow (measured as cycle time variation) with "loss" as described by the Taguchi Loss Function (see Taguchi Methods). Sudden changes in business conditions...

Word Count : 1295

Acrylonitrile styrene acrylate

Last Update:

3D printing parameter optimization by many methods including with the Taguchi methods to enable ASA to be used for high-end applications. ASA with compounds...

Word Count : 1389

Metronidazole

Last Update:

original on 10 October 2007. Retrieved 4 January 2022. Kudo T, Endo Y, Taguchi R, Yatsu M, Ito K (May 2015). "Metronidazole reduces the expression of...

Word Count : 4979

Quality management

Last Update:

approach to improvement. Taguchi methods — statistical oriented methods including quality robustness, quality loss function, and target specifications...

Word Count : 4664

Heterojunction solar cell

Last Update:

(3): 035326. Bibcode:2007PhRvB..76c5326O. doi:10.1103/PhysRevB.76.035326. Taguchi, Mikio; Terakawa, Akira; Maruyama, Eiji; Tanaka, Makoto (2005). "Obtaining...

Word Count : 13963

Failure mode and effects analysis

Last Update:

effects are: full loss of function x, degraded performance, functions in reversed mode, too late functioning, erratic functioning, etc. Each end effect...

Word Count : 5325

Carbonic anhydrase 12

Last Update:

variants encoding different isoforms have been identified for this gene. Loss of function mutations in the CAXII gene result in defects in fluids and carbonate...

Word Count : 2000

Bacillus subtilis

Last Update:

2586–93. doi:10.1128/JB.05567-11. PMC 3347220. PMID 22427629. Saito Y, Taguchi H, Akamatsu T (March 2006). "Fate of transforming bacterial genome following...

Word Count : 6259

BRCA2

Last Update:

normal tumor suppressive function whereas high penetrance mutations in these genes cause a loss of tumor suppressive function, which correlates with an...

Word Count : 7828

ALDH1A1

Last Update:

PMC 2777866. PMID 19874574. Morimoto K, Kim SJ, Tanei T, Shimazu K, Tanji Y, Taguchi T, et al. (June 2009). "Stem cell marker aldehyde dehydrogenase 1-positive...

Word Count : 1510

Meristem

Last Update:

branch formation". Nature. 455 (7210). 2008-09-11. Retrieved 2009-04-30. Taguchi-Shiobara; Yuan, Z; Hake, S; Jackson, D; et al. (2001). "The fasciated ear2...

Word Count : 4541

Optimal experimental design

Last Update:

Quality through design: Experimental design, off-line quality control, and Taguchi's contributions. Oxford U. P. pp. 464+xi. ISBN 978-0-19-851993-5. Nordström...

Word Count : 4402

Design of experiments

Last Update:

This concept played a central role in the development of Taguchi methods by Genichi Taguchi, which took place during his visit to Indian Statistical Institute...

Word Count : 5202

Oligodendrocyte progenitor cell

Last Update:

T, Maeda M, Uemura M, Lo EK, Terasaki Y, Liang AC, Shindo A, Choi YK, Taguchi A, Matsuyama T, Takahashi R, Ihara M, Arai K (June 2015). "Potential interactions...

Word Count : 6304

Pelvic fracture

Last Update:

734–8. doi:10.1097/BOT.0b013e3181a23d8b. PMID 19858983. S2CID 6651435. Taguchi, T; Kawai, S; Kaneko, K; Yugue, D (1999). "Operative management of displaced...

Word Count : 1894

PDF Search Engine © AllGlobal.net