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Multicriteria optimization of manufacturing processes taking into account the validity criteria

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Języki publikacji
EN
Abstrakty
EN
In the paper a method is presented of the best variant selection of a manufacturing process of a rotor to open end spinning machine with use of original optimization proceeding based on adopted criteria, taking into consideration their importance. Unit manufacturing cost and five criteria of manufacturing quality were taken as criteria to the assessment. The assessment criteria resulted from calculations and measurements were normalized. Knowledge of experts was used to determine importance of the criteria taken to the assessment. Each from the experts had built his own importance matrix of the assessment criteria, comparable in pairs, using the Saaty’s method. The weights of individual criteria were determined on the basis of cumulative matrix. In the next stage of the proceeding, normalized decisions were created by raising each assessment to a power equal to corresponding weight. In the last stage of the proceeding, a single optimal ordering comprising the smallest s-th components of the individual decisions d1, d2, …, dm was created. A variant which corresponds to the largest component of the optimal ordering is assumed as the best variant.
Rocznik
Strony
31--48
Opis fizyczny
Bibliogr. 14 poz., tab., rys.
Twórcy
autor
  • University of Bielsko-Biala, Department of Manufacturing Technology and Automation, Bielsko-Biala, Poland
autor
  • University of Bielsko-Biala, Department of Manufacturing Technology and Automation, Bielsko-Biala, Poland
Bibliografia
  • [1] CWIETKOW W.D., 1978, System to automation of planning of technological processes, PWN, Warszawa, (in Polish).
  • [2] SZADKOWSKI J., 1992, Artificial intelligence approach to structural and parametrical optimization of multi – tool – machining processes, Gepgyartastechnologia (Fertigungstechnik), Budapest, 9-10.
  • [3] PYTLAK B., 2006, Multicriteria optimization of turning operation of the 18HGT steel in hardened condition, PhD thesis, Akademia Techniczno-Humanistyczna, Bielsko-Biala, (in Polish).
  • [4] BRANKE J., DEB K., MIETTINEN K., SŁOWINSKI R., 2008, Multiobjective optimization. Interactvie and evolutionary approaches, Springer Verlag, Berlin Heidelberg.
  • [5] OSYCZKA A., 2002, Evolutionary algorithms for single and multicriteria design optimization, Physica Verlag, Heidelberg, New York.
  • [6] PLONKA S., 2013, Multicriteria optimization of manufacturing processes of machine, WNT, Warszawa, (in Polish)
  • [7] LOREK R., PLONKA S., 2013, Multicriteria optimization of manufacturing processes of the rotors to open end spinning machine, Advances in Manufacturing Science and Technology, 37/1, 55-68.
  • [8] NGUYEN N.T., TRAWINSKI B., KNOSALA R., 2015, Multiobjective optimizationof bioactive compound extraction process via evolutionary strategies, Lecture Notes in Computer Science. Springer International Publishing, 13-21, ISBN 978-3-319-15704-7.
  • [9] BREIING A., KNOSALA R., 1997, Bewerten technischen Systeme (Theoretische Und methodische grundlagen bewertungstechnischer Entscheidungshilfen), Springer Verlag, Berlin Heidelberg.
  • [10] YAGER R.R., 1977, Multiple objective decision – machining using fuzzy sets, Int. I. on Man – Machines Studies, 9, 375 – 382.
  • [11] SAATY T.L., 2001, Fundamentals of decision making and priority theory, Pittsburgh, Pennsylvania: RWS Publications.
  • [12] LAWRENCE C.A., 2003, Fundamentals of spun yarn technology, CRC Press, Leeds.
  • [13] ZIELINSKI W., ZIELINSKI R., 1990, Statistic Tables, PWN, Warszawa, (in Polish).
  • [14] Turbo Pascal, 1986, Numerical Methods Toolbox, Borland International Incorporation, USA
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0b03d648-2e74-4b4f-b12c-1108fbf9081d
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