Evaluating the quality level of a product with multiple quality characterisitcs

Chan, Weng Meng; Ibrahim, Raafat N

doi:10.1007/s00170-003-1751-6

Cited by 34 publications

(15 citation statements)

References 8 publications

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“…Many papers on a wide variety of applications of Taguchi's loss function is published in the recent past (Liao & Kao, 2010;Pi & Low, 2006;Antony, 2000;Antony, 2001;Wu, 2004;Kethley, 2002;Chan & Ibrahim, 2004;Cho & Cho, 2008;John, 2012). The QLP method is to…”

Section: Methodsmentioning

confidence: 99%

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

John¹

2015

10.5267/j.ijiec

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The powder coating is an economic, technologically superior and environment friendly painting technique compared with other conventional painting methods. However large variation in coating thickness can reduce the attractiveness of powder coated products. The coating thickness variation can also adversely affect the surface appearance and corrosion resistivity of the product. This can eventually lead to customer dissatisfaction and loss of market share. In this paper, the author discusses a dual response surface optimization methodology to minimize the thickness variation around the target value of powder coated industrial enclosures. The industrial enclosures are cabinets used for mounting the electrical and electronic equipment. The proposed methodology consists of establishing the relationship between the coating thickness & the powder coating process parameters and developing models for the mean and variance of coating thickness. Then the powder coating process is optimized by minimizing the standard deviation of coating thickness subject to the constraint that the thickness mean would be very close to the target. The study resulted in achieving a coating thickness mean of 80.0199 microns for industrial enclosures, which is very close to the target value of 80 microns. A comparison of the results of the proposed approach with that of existing methodologies showed that the suggested method is equally good or even better than the existing methodologies. The result of the study is also validated with a new batch of industrial enclosures.

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Section: Methodsmentioning

confidence: 99%

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

John¹

2015

10.5267/j.ijiec

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“…Several researchers ( [11][12][13][14] introduced the Taguchi loss function [15] to the Wen and Mergen problem, this addition limited the extent to which the mean was biased towards rework. A number of researchers [16][17][18][19] investigated optimal mean setting of dual features (parallel manufacturing), where the quality loss was modelled using the bivariate normal distribution function. Chen and Chou [14] extended the work by considering different nonconformance costs depending if a feature was greater or lower than the upper and lower specification limits, respectively.…”

Section: Literature Reviewmentioning

confidence: 99%

Improving profitability of optimal mean setting with multiple feature means for dual quality characteristics

Dodd

Scanlan

Marsh

et al. 2015

Int J Adv Manuf Technol

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The setting of a process mean for a manufacturing process which frequently produces scrap and rework, can significantly affect profitability. Optimal mean setting is a methodology by which the process mean is adjusted to maximise profit. This paper studies the dynamics of the problem and investigates the possibility of applying different process means to each rework iteration, to further maximise profit. A proof is given confirming there is only one optimal mean that applies over all rework iterations in the single feature case. However, applying similar reasoning to a dual feature case led to the development of a new optimal mean setting methodology which outperformed the existing approach in terms of the maximum expected profit.

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“…It is the underlying concept of least square theory founded by Gauss in 1809. Chan and Ibrahim (2004) state that deviations from the target value that are still within the specification limits do not cause a company to incur any internal cost, but may cause customer dissatisfaction, in which case the company may incur external costs that include repair, warranty, or loss of market share.…”

Section: Introductionmentioning

confidence: 99%

Development of realistic quality loss functions for industrial applications

Shaibu

Cho

2006

J. Syst. Sci. Syst. Eng.

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A number of quality loss functions, most recently the Taguchi loss function, have been developed to quantify the loss due to the deviation of product performance from the desired target value. All these loss functions assume the same loss at the specified specification limits. In many real life industrial applications, however, the losses at the two different specifications limits are often not the same.Further, current loss functions assume a product should be reworked or scrapped if product performance falls outside the specification limits. It is a common practice in many industries to replace a defective item rather than spending resources to repair it, especially if considerable amount of time is required. To rectify these two potential problems, this paper proposes more realistic quality loss functions for proper applications to real-world industrial problems. This paper also carries out a comparison studies of all the loss functions it considers.

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Evaluating the quality level of a product with multiple quality characterisitcs

Cited by 34 publications

References 8 publications

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

A dual response surface optimization methodology for achieving uniform coating thickness in powder coating process

Improving profitability of optimal mean setting with multiple feature means for dual quality characteristics

Development of realistic quality loss functions for industrial applications

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