Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD

DOI10.1080/00207540500032046zbMath1082.90517OpenAlexW2074380759MaRDI QIDQ3369510

Yizeng Chen, Jiafu Tang, Richard Ying Kit Fung

Publication date: 2 February 2006

Published in: International Journal of Production Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207540500032046

zbMATH Keywords

product designquality function deploymentcustomer requirementsfuzzy expected value operatorengineering characteristicstargets setting

Mathematics Subject Classification ID

Production models (90B30) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

Related Items (7)

An advanced quality function deployment model using fuzzy analytic network process ⋮ Product design and selection using fuzzy QFD and fuzzy MCDM approaches ⋮ Technical importance ratings in fuzzy QFD by integrating fuzzy normalization and fuzzy weighted average ⋮ Chance-constrained programming models for capital budgeting with NPV as fuzzy parameters ⋮ Credibility-based chance-constrained integer programming models for capital budgeting with fuzzy parameters ⋮ A survey of credibility theory ⋮ Establishing the relationship matrix in QFD based on fuzzy regression models with optimized \(h\) values

Cites Work

• A new approach to quality function deployment planning with financial consideration
• Quality function deployment: a literature review
• Fuzzy multicriteria models for quality function deployment
• A Fuzzy Quality Function Deployment (FQFD) model for deriving optimum targets
• Framework of a fuzzy quality function deployment system
• Fuzzy outranking approach to prioritize design requirements in quality function deployment
• An intelligent hybrid system for customer requirements analysis and product attribute targets determination
• Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods
• Inexact genetic algorithm approach to target values setting of engineering requirements in QFD
• Product design resources optimization using a non-linear fuzzy quality function deployment model
• Fuzzy regression-based mathematical programming model for quality function deployment

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