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Otwarty dwumaszynowy problem szeregowania z rozmytymi czasami obrobki

Author

Listed:
  • Gladysz B.
  • Kuchta D.

Abstract

Rozwazamy dwumaszynowy otwarty problem szeregowania, gdy czasy obrobki nie sa znane dokladnie, lecz tylko dane w postaci liczb rozmytych. W takim przypadku pojecie optymalnego uszeregowania i optymalnego czasu zakonczenia sa niejednoznaczne. W pracy nie podajemy definicji optymalnego rozmytego uszeregowania, lecz tylko definicje optymalnego rozmytego czasu zakonczenia – jako zbioru wszystkich mozliwych deterministycznych czasow zakonczenia razem z ich stopniami mozliwosci. Pokazujemy, jak wyznaczyc tak zdefiniowany optymalny rozmyty czas zakonczenia. Dostarczy on decydentowi informacji o tym, jakich czasow zakonczenia moze sie spodziewac i w jakim stopniu sa one mozliwe. Rezultaty teoretyczne sa zilustrowane przykladem liczbowym.

Suggested Citation

  • Gladysz B. & Kuchta D., 2003. "Otwarty dwumaszynowy problem szeregowania z rozmytymi czasami obrobki," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 4, pages 1-3.
  • Handle: RePEc:wut:journl:v:4:y:2003:p:3
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    References listed on IDEAS

    as
    1. Tadeusz Galanc & Wiktor Kolwzan & Jerzy Pieronek, 2012. "A quantitative management support model for a certain production supply system in non-extreme states," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 1, pages 5-12.
    2. repec:wut:journl:v:2:y:2012:id:1047 is not listed on IDEAS
    3. Nils Rudi & Sandeep Kapur & David F. Pyke, 2001. "A Two-Location Inventory Model with Transshipment and Local Decision Making," Management Science, INFORMS, pages 1668-1680.
    4. Tadeusz Galanc & Wiktor Kolwzan & Jerzy Pieronek, 2012. "A quantitative management support model of a certain production-supply system - boundary conditions," Operations Research and Decisions, Wroclaw University of Technology, Institute of Organization and Management, vol. 2, pages 5-13.
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    Keywords

    fuzzy set; optimal time;

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