A fuzzy optimization model for QFD planning process using analytic network approach

Kahraman, Cengiz; Ertay, Tijen; Büyüközkan, Gülçin

doi:10.1016/j.ejor.2004.09.016

Cited by 561 publications

(290 citation statements)

References 48 publications

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“…Kahraman et al [145] use an integrated framework based on fuzzy-QFD and a fuzzy optimization model for determining the product technical requirements. Fuzzy ANP is used for obtaining the coefficients of the objective function.…”

Section: Fuzzy Anp Methodsmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

Self Cite

440

194

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Multicriteria decision-making (MCDM) refers to making decisions in the presence of multiple and usually conflicting criteria. Fuzzy decision-making is used where vague and incomplete data exist for the solution. Fuzzy multicriteria decision-making is one of the most popular problems handled by the researchers in the literature. In this paper, we survey the latest status of fuzzy multicriteria decision-making methods and classify these methods dividing into two parts: fuzzy multiattribute decision-making (MADM) and fuzzy multiobjective decision-making (MODM). Most of the publications are on fuzzy MADM since there are a plenty of classical multiattribute decision-making methods in the literature. Tabular and graphical illustrations for each method are given.

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Section: Fuzzy Anp Methodsmentioning

confidence: 99%

Fuzzy Multicriteria Decision-Making: A Literature Review

Kahraman¹,

Onar²,

Öztayşi³

2015

IJCIS

Self Cite

440

194

View full text Add to dashboard Cite

show abstract

“…Choi [9], fuzzy integral C.Y. Tsai [10], fuzzy analytical network process C. Kahraman, T. Ertay, G. Buyukozkan [11], fuzzy expected value Y. Chen, R.Y.K. Fung, J. Tang [12], fuzzy goal programming L.S.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy quality function deployment approach to improve a component of a supervisory control and data acquisition system

2017

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Abstract-Monitoring and control of electric transformer stations, frequently spread out over small or large geographical areas, are achieved with supervisory control and data acquisition (SCADA). Quality function deployment (QFD) is a valuable analyzing tool in product design and development. To solve the uncertainty or inherent imprecision in QFD, many researchers have applied the fuzzy set theory to QFD and have developed various fuzzy QFD approaches. The literature regarding applying fuzzy QFD for analyzing subsystems of SCADA, to the best of our knowledge, remains inexistent. In this paper, a fuzzy QFD approach is used to effectively determine the design requirements of a SCADA component.

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“…Also, ECs is named as "the voice of the company" and they are employed to "determine how well the company satisfies the needs." For such reasons, they are often established at an early design stage according to the company's strategic goals (Kahraman, Ertay and Buyukozkan, 2006 (Wang, 1999;Chan and Wu, 2005). Specifically, in this research, the term refers to the translation of CRs to an engineering language from the perspective of product designers, which can be generally deemed as how product designers deem and evaluate these CRs.…”

Section: Introductionmentioning

confidence: 99%

Prioritising engineering characteristics based on customer online reviews for quality function deployment

Jin

Liu

2014

Journal of Engineering Design

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ABSTRACT:In market-driven product design, customer requirements are usually obtained from consumer surveys. However, valuable customer requirements can also be found in a large number of online reviews. Largely due to their free text nature and the quantity, these reviews are often neglected and are seldom utilized directly by designers. In this work, one important question in quality function deployment (QFD) on how to prioritize engineering characteristics is investigated. Customer opinions concerning engineering characteristics are extracted from online reviews. By taking advantage of such opinion information, an ordinal classification approach is proposed to prioritize engineering characteristics. In a pairwise manner, in which customer opinions are deemed as features and the overall customer satisfactions are regarded as the target values, the weights of engineering characteristics are derived. Furthermore, an integer linear programming model is implemented to convert the pairwise results into the original customer satisfaction ratings. Finally, an exploratory case study is presented using reviews of four branded printers collected from Amazon and their analysis was conducted by two experienced design engineers. The experimental study reveals the merits of the proposed approach.

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A fuzzy optimization model for QFD planning process using analytic network approach

Cited by 561 publications

References 48 publications

Fuzzy Multicriteria Decision-Making: A Literature Review

Fuzzy Multicriteria Decision-Making: A Literature Review

A fuzzy quality function deployment approach to improve a component of a supervisory control and data acquisition system

Prioritising engineering characteristics based on customer online reviews for quality function deployment

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