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Warianty tytułu
Języki publikacji
Abstrakty
Product and process design is time- and cost consuming [15]. To reduce the cost of product development, it is necessary to integrate product and process design. The proposed product planning approach integrates activities involved in product design and manufacturing process. The aim of this paper is to develop a method of knowledge integration about customer needs, product and process characteristics. The range of analyses is limited to mechanical product type manufacturing for institutional customers. Customer needs are focused on functional characteristics of the product and the trade characteristics include product price, timing and warranty. Integration of functional requirements, product and process characteristics is needed to select the best product from a catalogue and adapt it to particular customer needs. From the given set of products, where a product is described by a set of attributes, the subset is chosen which roughly satisfies customer needs. Basing on artificial intelligent (AI) methods, data related to redesign and production processes is estimated.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
46--53
Opis fizyczny
Bibliogr. 18 poz., tab.
Twórcy
- University of Bielsko-Biała Bielsko-Biała, 43-300, ul. Willowa 2,
Bibliografia
- [1] BAXTER D., GAO J., CASE K., HARDING J, YOUNG B., 2008, A framework to integrate design knowledge reuse and requirements management in engineering design. Robotics and Computer-Integrated Manufacturing, 24, 585–593
- [2] BORODZIAK F., 1973, Organizacja działu konstrukcyjnego, WNT Warszawa.
- [3] CHOU Y., 2004, Applying neural networks in quality function deployment process for conceptual design. Journal of the Chinese Institute of Industrial Engineers, 21/6, 587-596.
- [4] DAGLI C., KUSIAK A., 1994, Intelligent Systems in design and manufacturing. ASME PRESS New York.
- [5] HLAVENKA B., 1983, Rizeni a planovani technicke pripravy vyroby”, SNTL - Nakladatelstvi Technicke Literatury, Praha.
- [6] KNOSALA R., 2002, Zastosowanie metod sztucznej inteligencji w inŜynierii produkcji. WNT Warszawa.
- [7] KUHLANG P., MINICHMAYR J., SIHN W., 2008, Hybrid optimisation of added value with value stream mapping and methods time measurement. Journal of Machine Engineering, 8/2.
- [8] KUTSCHENREITER-PRASZKIEWICZ I., 2008, Application of artificial neural network for determination of standard time in machining. J Intell Manuf, DOI 10.1007/s.10845-008-0076-6, Springer Science+Business Media, LLC.
- [9] KUTSCHENREITER-PRASZKIEWICZ I., 2011, Zastosowanie metod sztucznej inteligencji w planowaniu prac przygotowania produkcji elementów maszyn. Komputerowo Zintegrowane Zarządzanie, Zakopane, 27-36.
- [10] MELER - KAPCIA M., 2009, Zastosowanie wybranych metod sztucznej inteligencji do projektowania wstępnego statku. InŜynieria Wiedzy I Systemy Ekspertowe, Warszawa.
- [11] MUHLEMANN A., OAKLAND J., LOCKYER K., 1992, Production and operations management. Pitman Publishing. University of Bradford.
- [12] POKOJSKI J., 2005, Systemy doradcze w projektowaniu maszyn. WNT Warszawa.
- [13] RAO S., NAHM A, SHI Z., DENG X. SYAMIL A., 1999, Artifcial intelligence and expert systems applications in new product development – a survey. Journal of Intelligent Manufacturing, 10, 231-244.
- [14] REHMAN S., GUENOV M., 1998, A methodology for modelling manufacturing costs at conceptual design Computers ind. Engng, 35/3-4, 623-626.
- [15] SU D., WAKELAM M., 1998, Intelligent hybrid system for integration design and manufacture. Journal of Materials Processing Technology, 76, 23-28.
- [16] URBANIAK M., 1999, Marketing przemysłowy. Wydawnictwo Infor, Warszawa.
- [17] XU D., YAN H.-S., 2006, An intelligent estimation method for product design time Int J Adv Manuf Technol, 30, 601–613.
- [18] YAN W., KHOO LP, CHEN C-H., 2005, A QFD-enabled product conceptualisation approach via design knowledge hierarchy and RCE neural network. Knowledge-Based Systems, 18, 279-293.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f44a7bf6-51f6-49df-bf67-7e403cb483b3