Product configuration using knowledge based system

• Autorzy: Kutschenreiter-Praszkiewicz I.
• Języki publikacji: EN

Abstrakty

EN

Product configuration is focused on achieving customer satisfaction. Configuration methods should use previous experiences related to product changes One of the methods of storing experiences is elaboration of knowledge bases with the use of proper knowledge representation method. In the paper identification of customer needs was discussed, as well as product decomposition methods were presented. The Quality Function Deployment (QFD) method was suggested to be applied as a product and process data integration tool, where engineering characteristic of a product was combined with its trade characteristic. The paper shows that thanks to the application of knowledge based system in production preparation it is possible to support decision making connected with product selection and evaluation for a particular customer.

Słowa kluczowe

EN

product; configuration; knowledge; quality; method

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2013
• Tom: Vol. 13, No. 2
• Strony: 26--35
• Opis fizyczny: Bibliogr. 7 poz., tab., rys.

Twórcy

autor

Kutschenreiter-Praszkiewicz I.

• University of Bielsko-Biala, 43-300 Bielsko-Biala, Willowa 2

Bibliografia

• [1] IRANMANESH H., THOMSON V., 2008, Competitive advantage by adjusting design characteristics to satisfy cost targets, Int. J. Production Economics, 115, 64– 71.
• [2] KUTSCHENREITER-PRASZKIEWICZ I., 2013, Application of knowledge based systems in technical preparation of machine parts production, Advances in Manufacturing Science and Technology = Postepy Technologii Maszyn, 37/1, 19-29.
• [3] KUTSCHENREITER-PRASZKIEWICZ I., 2011, Integration of product design and manufacturing with the use of artificial intelligent methods, Journal of Machine Engineering, 11/1-2, 46-53.
• [4] KUTSCHENREITER-PRASZKIEWICZ I., 2012. Knowledge-based systems in the technical preparation of production of machine parts, University of Bielsko-Biala,. ISBN 978-83-63713-25-6, (in Polish).
• [5] Li B.M., Xie S.Q., Xu X., 2011, Recent development of knowledge-based systems, methods and tools for One-of-a- Kind Production, Knowledge-Based Systems, 24, 1108–1119.
• [6] MING X.G., YAN J.Q., LU W.F., MA D.Z., SONG B., 2007, Mass production of tooling product families via modular future-based design to manufacturing collaboration in PLM, Journal of Intelligent Manufacturing, 18, 186-195.
• [7] RAHARJO H., BROMBACHER A.C., XIE M., 2008, Dealing with subjectivity in early product design phase: A systematic approach to exploit Quality Function Deployment potentials. Computers & Industrial Engineering, 55, 253–278.