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Expert system application for improving the manufacturing process for recreational watercrafts modelling yacht propulsion

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EN
Abstrakty
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This article deals with the problems of design improvement and the process of production preparation for recreational watercrafts. An original expert system was created to facilitate the design of mechanical equipment systems and to support the production of pleasure boats. This expert system contains information about issues related to the selection of appropriate mechanical equipment used in modern yachts. An expert system is a computer program, which contains information about a specific and usually narrow field of expertise. With the help of this kind of program, it is possible to solve problems on the same level as a human expert. Like most expert systems, this program is built in such a way that the knowledge base is separated from the rest of the system. It contains two main modules: the knowledge base and the inference mechanism. This system provides conclusions in a descriptive form and in the form of numbers, and presents explanations, diagrams, drawings, photos and videos. What is unique about this expert system is that a user with specialist knowledge in the field of yacht engineering can easily modify the knowledge base. With the development of technology, it is easy to feed new information into the system. This system can become a major tool in design offices and plants producing yachts, because it can be easily expanded and adapted to individual needs.
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autor
  • Director at VETUS Sp. z o.o. Płochocińska Street 111, Warsaw, Poland tel.: +48 22 4524052
Bibliografia
  • [1] Alonso, F., Martinez, L., Perez, A., Valente, J. P., Cooperation between expert knowledge and data mining discovered knowledge: data mining discovered knowledge: Lesson learned, Expert Systems with Applications, Vol. 39, pp. 7524-7535, 2012.
  • [2] Buchalski Z., Knowledge management of expert system based on the symbolic representation of natural language sentences, in: Information Systems Architecture and Technology, Borzemski, L., Grzech, A., Świątek, J., Wilimowska, Z. (eds.), Oficyna Wydawnicza Politechniki Wrocławskiej, pp. 75-85, Wroclaw 2006.
  • [3] Durkin, J., Expert systems: Design and development, Prentice-Hall, Englewood Cliffs, NJ, pp. 800, 1994.
  • [4] Giarratano, J. C., Riley, G., Expert systems: Principles and programming, Thomson Course Technology, Cambridge Mass., pp. 842, 2005.
  • [5] Gonciarz, T., Perzyk, M., An expert system for supporting the production of pleasure boats, Management Systems in Production Engineering, No. 3 (11), 2013.
  • [6] Gonciarz, T., An expert system for supporting the design and selection of mechanical equipment for recreational crafts, Trans Nav. The International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 8, No. 2, June 2014.
  • [7] Knosala, R., et al., Zastosowania metod sztucznej inteligencji w inżynierii produkcji, p. 2, WNT, Warsaw 2002.
  • [8] Maus, R., Keyes, J., Handbook of expert systems in manufacturing, pp. 561, McGraw-Hill, New York 1991.
  • [9] Michalik, K., Integrated package of artificial intelligence Aitech Sphinx 4.5, Aitech Intelligent Laboratory, pp. 1-60, Katowice 2006.
  • [10] Mulawka, J., Systemy ekspertowe, p. 20, WNT, Warszawa 1996.
  • [11] Nadiru, A. B., Export Systems: Applications in Engineering and Manufacturing, Prentice Hall, 1992.
  • [12] Poeschl, S., Lieb, J., Wirth, F., Bauernhansl, T., Expert systems in special machinery: Increasing the productivity of processes in commissioning, The 50th CIRP Conference on Manufacturing Systems, Procedia CIRP, 63, pp. 545-550, 2017.
  • [13] Stefik, M., Aikins, J., Balzer, R., Benoit, J., Birnbaum, L., Hayes-Roth, F., Sacerdoti, E., The organization of expert systems, a tutorial, Artificial Intelligence, Vol. 18, No. 2, pp. 135-173, 1982.
  • [14] Tkaczyk, W., Inżynieria Wiedzy, Akademicka Oficyna Wydawnicza EXIT, p. 113, Warszawa 2010.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
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Bibliografia
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bwmeta1.element.baztech-e463ac7e-7a35-4593-a0c3-b55715bceff9
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