Product quality design based on identification of parametric models, consumer requirements, knowledge: ontological paradigma

Автор: Dmitriev A.Ya., Mitroshkina T.A.

Журнал: Онтология проектирования @ontology-of-designing

Рубрика: От редакции

Статья в выпуске: 3 (17) т.5, 2015 года.

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The article features а development of products and processes of the enterprise on the basis of the ontological approach and effective application of quality function deployment (structuring) method, QFD. A major flaw of modern practical application of QFD is that even with the appropriate use it actually determines only priority areas for improvement. Target values of modified products characteristics are determined as subjective and depend on the existing products on the market. Other disadvantages of using of modern quality identification methods based on QFD are the complexity of calculations, limited size of possible relationships matrixes, and difficulty in using various additional information. Most times only the first level QFD is used for practical purposes to determine priorities of product development and thus negative relationships are virtually never used. The proposed model of quality identification as the solution of the inverse ill-posed problem based on the ontological approach and QFD method involves advanced mathematical tools and allows the use of various additional information. The proposed robust matrix MTQFD (Matrix Technique QFD) method allows you to determine not only the priorities but also the assessments of the product characteristic and process parameter target values, with the possible use of information on negative relationships. Recommendations for the applying of the robust matrix method MTQFD for prioritization and evaluation of the product characteristic and process parameter target values and the proposed ontology model are universal and can be used for the products and services quality identification in any organization.

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Матричный метод qfd

Короткий адрес: https://sciup.org/170178700

IDR: 170178700   |   DOI: 10.18287/2223-9537-2015-5-3-313-327

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