Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming

Liao, Chin-Nung; Kao, Hsing-Pei

doi:10.1016/j.cie.2009.12.004

Cited by 175 publications

(77 citation statements)

References 23 publications

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“…It has been used to analyze the interaction between the economics of production and process quality in the manufacturing industry (Castillo-Villar et al, 2012). TLF is an effective tool for justifying and evaluating the effects of quality improvements such as tolerance tightening strategies, whose effects on quality have been assessed from an economic standpoint (Berk & Berk, 2000;Bernardo et al, 2001;Ozdemir & Maghsoodloo, 2004;Liao & Kao, 2010). Nevertheless, those studies have not yet been applied to the agrofood industry and limited research on TLF has been published.…”

Section: Discussionmentioning

confidence: 99%

Applying life cycle management of colombian cocoa production

2014

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Section: Discussionmentioning

confidence: 99%

Applying life cycle management of colombian cocoa production

2014

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“…Furthermore, ANP was combined with another tool such as PROMETHEE to give a better decision on materials selection in hybrid environment [40]. Moreover, ANP was applied in electronic firm, hazardous substance management and supplier selection [45][46][47].…”

Section: Analytical Network Process (Anp)mentioning

confidence: 99%

Multi-criteria decision-making tools for material selection of natural fibre composites: A review

Muhammad¹,

Sapuan²,

Mastura³

2018

J. MECH. ENG. SCI.

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Materials selection in manufacturing process is an important stage and should be performed in parallel with selection of manufacturing process. In automotive industry, production of green automotive component could utilize the natural sources such as plant fibres. In recent years, several multi-criteria decision-making (MCDM) techniques are suggested to choose the best materials for particular application. Materials selection tools for natural fibre composites are studied from past researchers with the summary of the advantage and disadvantages. In addition, new optimization approach in materials selection by using statistical analysis such as multiple linear regression (MLR), response surface methodology (RSM) and Taguchi method (TM) is proposed in this study. The proposed method could evaluate the criteria or attribute in materials selection precisely by analyse the relationship of the parameters, goodness of fit, correlation, analysis of variance (ANOVA), determination of coefficient and the significant criteria in to the desired goal of the design problem.

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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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Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming

Cited by 175 publications

References 23 publications

Applying life cycle management of colombian cocoa production

Applying life cycle management of colombian cocoa production

Multi-criteria decision-making tools for material selection of natural fibre composites: A review

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

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