Analytical approaches to QFD

Vivianne Bouchereau, Hefin Rowlands

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)


    Quality function deployment (QFD) is a planning tool and organizes data in a logical and systematic way, but it is a rather a qualitative method. The union of QFD with quantitative methods will yield even greater benefits from its applications. Fuzzy logic takes linguistic variables as its input, and outputs either crisp or fuzzy numbers, providing a more quantitative method in determining the relationship matrix in QFD. The Taguchi method has been proposed to help benchmark in the House of Quality: QFD identifies the direction of improvement for certain design parameters, but cannot give exact figures for improvements. A machine learning approach, using artificial neural networks (ANNs), has been suggested to deal with the large amounts of input data.

    Original languageEnglish
    Pages (from-to)249-254
    Number of pages6
    JournalManufacturing Engineer
    Issue number6
    Publication statusPublished - Dec 1999


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