Quality Function Deployment: A Comprehensive Review of Its Concepts and Methods

Chan, Lai-Kow; Wu, Mingyue

doi:10.1081/qen-120006708

Cited by 203 publications

(122 citation statements)

References 6 publications

Supporting

Mentioning

110

Contrasting

Unclassified

Order By: Relevance

“…Critical reviews have summarized the concepts and decision methods employed in the QFD process, see, for example, [5,27,28]. In the sequel, we briefly review the existing QFD methodologies from the perspectives of CR weighting, vague assessments, and DR ranking in the HoQ construction.…”

Section: Literature Reviewmentioning

confidence: 99%

Uncertain Quality Function Deployment Using a Hybrid Group Decision Making Model

2016

View full text Add to dashboard Cite

Quality function deployment (QFD) is a widely used quality system tool for translating customer requirements (CRs) into the engineering design requirements (DRs) of products or services. The conventional QFD analysis, however, has been criticized as having some limitations such as in the assessment of relationships between CRs and DRs, the determination of CR weights and the prioritization of DRs. This paper aims to develop a new hybrid group decision-making model based on hesitant 2-tuple linguistic term sets and an extended QUALIFLEX (qualitative flexible multiple criteria method) approach for handling QFD problems with incomplete weight information. First, hesitant linguistic term sets are combined with interval 2-tuple linguistic variables to express various uncertainties in the assessment information of QFD team members. Borrowing the idea of grey relational analysis (GRA), a multiple objective optimization model is constructed to determine the relative weights of CRs. Then, an extended QUALIFLEX approach with an inclusion comparison method is suggested to determine the ranking of the DRs identified in QFD. Finally, an analysis of a market segment selection problem is conducted to demonstrate and validate the proposed QFD approach.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Uncertain Quality Function Deployment Using a Hybrid Group Decision Making Model

2016

View full text Add to dashboard Cite

show abstract

“…In addition Bicknell and Bicknell (In Chan and Wu (2002a)) reported that tangible benefits that are common when QFD is properly used are: a 30-50% reduction in engineering changes, 30-50% shorter design cycles, 20-60% lower start up costs, and 20-50% fewer warranty claims. [10] On the other hand, an empirical study conducted by Martins and Aspinwall (2001) within the United Kingdom (UK), identified many QFD implementation problems among the companies surveyed. The results showed that there was a problem in western companies associated with "working in teams".…”

Section: Qfd Benefits and Implementation Problemsmentioning

confidence: 99%

A Case Study on Quality Function Deployment (QFD)

Jaiswal¹

2012

IOSRJMCE

View full text Add to dashboard Cite

“…Karsak [17] highlighted that transferring value is the main purpose of the QFD that would be done by focusing on prioritized customer needs, translating them into design requirements and then communicating them throughout the organization in a way to ensure that details can be quantified and controlled. The structure of HOQ would consist of six rooms and would transform the customer needs into product characteristics that would be further deployed to develop process and production plans [18]. A detailed of HOQ structure can be described as follows:…”

Section: Brief Literature Review: Quality Function Deploymentmentioning

confidence: 99%

Integrating Environmental Requirements into Quality Function Deployment for Designing Eco-Friendly Product

Pusporini¹,

Abhary²,

Luong³

2013

IJMMM

View full text Add to dashboard Cite

Abstract-Nowadays, the green manufacturing that relates to the environmental issues is growing and spreading into many aspects of industry. This issue is pushing every industry to increase their awareness of the environmental issues by developing and creating environmentally friendly products. The acceptance of products is based on quality as well as environmental performance. This means that to be competitive in the global market, the quality of products should meet the customer needs and also the environmental requirements. This paper proposes the integration of environmental requirements into Quality function deployment (QFD) methodology for designing and creating eco-friendly products. In this paper fuzzy logic is employed in conjunction with house of quality (HOQ) for integration into QFD to achieve this aim.Index Terms-Environmentally friendly product, quality function deployment, fuzzy logic, house of quality.

show abstract

Quality Function Deployment: A Comprehensive Review of Its Concepts and Methods

Cited by 203 publications

References 6 publications

Uncertain Quality Function Deployment Using a Hybrid Group Decision Making Model

Uncertain Quality Function Deployment Using a Hybrid Group Decision Making Model

A Case Study on Quality Function Deployment (QFD)

Integrating Environmental Requirements into Quality Function Deployment for Designing Eco-Friendly Product

Contact Info

Product

Resources

About