A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment

Şener, Zeynep; Karsak, E. Ertuğrul

doi:10.1016/j.eswa.2010.08.091

Cited by 46 publications

(17 citation statements)

References 22 publications

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“…Unlike Sener and Karsak [22], we establish a fuzzy linear programming model with fuzzy cost constraint to determine the target levels of ECs in QFD, in which the objective function is fuzzified by considering the overall customer satisfaction compared with competitors and the budget is telescopic.…”

Section: Resultsmentioning

confidence: 99%

“…Sener and Karsak [22] utilized fuzzy regression to estimate the parameters of functional relationships between CRs and ECs and among ECs. Furthermore, they also considered that the determination of the optimal levels of ECs was related to many objectives such as maximizing the overall customer satisfaction, minimizing technical difficulty, and maximizing extendibility of ECs.…”

Section: Resultsmentioning

confidence: 99%

“…Liu [21] utilized FQFD and the prototype product selection model to propose a product design and a selection approach that can substantially benefit developers in new product programming. Sener and Karsak [22] investigated an approach for determining target levels of ECs by integrating fuzzy linear regression and fuzzy multiple objective programming. There are two types of uncertainties in input in the QFD process: human perception and customer heterogeneity.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

Yang

Chen

2014

Journal of Industrial Engineering

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Quality function deployment (QFD) is a planning and problem-solving tool for translating customer requirements (CRs) into the engineering characteristics (ECs) of a product. Owing to the typical vagueness of functional relationships in a new product, product planning is becoming more difficult under uncertainties. To tackle the vagueness or imprecision in QFD, numerous scholars have applied the fuzzy set theory to QFD and proposed various fuzzy QFD models. In this study, a fuzzy linear programming model is developed to determine the optimal level of ECs, where the objective function is the overall customer satisfaction and the cost constraint is fuzzified. Finally, we use a software product design as a numerical example, which demonstrates that the proposed methodology can help the QFD team realize the overall customer satisfaction of new products catching up with or exceeding the competitors in the target market.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

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Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

Yang

Chen

2014

Journal of Industrial Engineering

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“…Correspondingly, in this research, the focus is on how to prioritize ECs based on the CRs in online reviews. Notice that, in the field of engineering design, the term, "engineering characteristics", is "also known as technical attributes, product technical requirements or design requirements" and they "describe the product in the language of the engineer" (Sener and Karsak, 2011). Also, ECs is named as "the voice of the company" and they are employed to "determine how well the company satisfies the needs."…”

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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“…Sener and Karsak developed some fuzzy mathematical programming models combining the functional relationships obtained from a fuzzy regression based on non-linear programming and an integrated fuzzy linear regression and fuzzy multiple objective programming approach to determining target values of ECs [17,18]. Zhong et al proposed a fuzzy chance-constrained programming model with the objective of minimizing the fuzzy expected cost and the chance constraint of overall customer satisfaction [19].…”

Section: Introductionmentioning

confidence: 99%

Determination of Target Values of Engineering Characteristics in QFD Using Uncertain Programming

Miao

Liu

Chen

2015

J. Uncertain. Anal. Appl.

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Quality function deployment (QFD) is a new product development tool remarked with interpreting customer requirements into engineering characteristics of the design process. On account of the inherent imprecise and uncertain elements in the weights of customer requirements, the relationships between customer requirements and engineering characteristics, and the correlations among engineering characteristics, uncertain variables are preferred to be applied in this paper. By taking advantage of expected value modelling to determine the target values of engineering characteristics in handling different practical design scenarios, two uncertain programming models are proposed for optimizing the QFD process in an uncertain environment. Subsequently, the proposed uncertain models are implemented in a motor car design for quality development.

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A combined fuzzy linear regression and fuzzy multiple objective programming approach for setting target levels in quality function deployment

Cited by 46 publications

References 22 publications

Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

Fuzzy Optimization Modeling Approach for QFD-Based New Product Design

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

Determination of Target Values of Engineering Characteristics in QFD Using Uncertain Programming

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