Two-dimensional Quality Function Deployment: An Application for Deciding Quality Strategy Using Fuzzy Logic

Cheng, Bor‐Wen; Chiu, Wen-Hong

doi:10.1080/14783360701231948

Cited by 22 publications

(7 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Organizational characteristics are the implementation, execution, and control of business process. These characteristics also determine the TS design philosophy of TS provider and the behavior pattern of 10 TS customer when performing their business procedure. Different organization characteristics between provider and customer could result in a TS service that does not operate as expected by the TS customer.…”

Section: Hypothesis 1 Perceived Discrepancy Of Service Quality (Pdsqmentioning

confidence: 99%

Perceived service quality discrepancies between telecommunication service provider and customer

Chen

Yang

2015

Computer Standards & Interfaces

View full text Add to dashboard Cite

Section: Hypothesis 1 Perceived Discrepancy Of Service Quality (Pdsqmentioning

confidence: 99%

Perceived service quality discrepancies between telecommunication service provider and customer

Chen

Yang

2015

Computer Standards & Interfaces

View full text Add to dashboard Cite

“…Developing targets: Below the priority scores row, a row is added to address the technical targets. Cheng and Chiu (2007) confront subjectivity in early design phases through a systematic approach that exploits the full QFD potential through these technical targets pertaining to the ECs mentioned in each column.…”

Section: Qfd Fundamentals: Steps In Building a House Of Qualitymentioning

confidence: 99%

Quality function deployment: exploiting interrelationships for progressive prioritization

Sharma

2020

TQM

View full text Add to dashboard Cite

PurposeThe purpose of this paper is twofold: to incorporate the symbolic relationships among the attributes of customer requirements (CRs) and engineering characteristics (ECs) as well as to factor in the values numerically to enhance the prioritization process for an improved, comprehensive quality function deployment (QFD) analysis. The aim is to develop the concept of assimilating and factoring in the often-ignored interrelationships among CRs and ECs utilizing the weighted average method for the CR and EC correlations with overall calculations.Design/methodology/approachAfter a brief literature review of the methods utilized, the research paper discusses the framework for the correlation triangle challenge and introduces a novel mathematical solution utilizing triangle values in conjunction with computed initial raw weights for CRs and initial priority scores for ECs. The capability and applicability of the proposed model are demonstrated with a real-life example.FindingsThrough the proposed technique, the roof and the interrelationship triangle's signs and symbols are translated into numerical values for each permutation of ECs and CRs, and then the prioritization values are processed and finalized. The proposed model successfully modifies and removes vagueness from an otherwise overlooked part of the QFD process.Practical implicationsThe illustrated case study aptly proves that the proposed methodology yields more revealing and informative outcomes for engineers and designers, thus adding much-needed reliability to the outcome and its analysis. The validation conducted through the rank comparison endorses the premise, and the results obtained reflect the strength and accuracy of the progressive QFD as a product planning tool.Originality/valueThe research article proposes a fresh and unique QFD approach that solves typical procedural complications encountered in a regular QFD. Whereas the traditional methods neglect the interrelationships among CRs and ECs, this new methodology employs them in an improved, numerical way by incorporating them in quantitative analysis, which leads to judicious and improved decision-making.

show abstract

“…This approach is based on the QFDforPSS method, augmented by the integration of the Kano model, and the FAHP approach ( Figure 2). This allows engineers to define the requirements whose fulfilment could contribute to an increased customer value, leading to the quality strategy to follow (Cheng and Chiu, 2007).…”

Section: Research Approachmentioning

confidence: 99%

Integrating QFD for product-service systems with the Kano model and fuzzy AHP

Haber

Fargnoli

Sakao

2018

Total Quality Management & Business Excellence

View full text Add to dashboard Cite

The paper proposes a systematic procedure for the development of Product-Service Systems (PSSs) by focusing on the analysis of customer requirements, and the selection of those that can practically enhance the offerings' value. With this goal in mind, the Quality Function Deployment for Product Service Systems (QFDforPSS) method was augmented by means of the Kano model to filter the customers' needs and transform the attractive ones into Receiver State Parameters (RSPs), as the cornerstone of QFDforPSS. Then, to properly assess these parameters and their inherent uncertainty, the Fuzzy Analytical Hierarchy Process (FAHP) method was also integrated into the procedure. To validate the proposed procedure, it was implemented in a case study in the medical devices sector, in collaboration with a haemodialysis equipment manufacturer, which operates in a regulated market of product-oriented services.

show abstract

Two-dimensional Quality Function Deployment: An Application for Deciding Quality Strategy Using Fuzzy Logic

Cited by 22 publications

References 7 publications

Perceived service quality discrepancies between telecommunication service provider and customer

Perceived service quality discrepancies between telecommunication service provider and customer

Quality function deployment: exploiting interrelationships for progressive prioritization

Integrating QFD for product-service systems with the Kano model and fuzzy AHP

Contact Info

Product

Resources

About