This paper presents a methodology to evaluate and optimize discrete event systems, such as an assembly line or a call center. First, the methodology estimates the performance of a system for a single probability distribution of the inputs. Probabilistic Reanalysis (PRRA) uses this information to evaluate the effect of changes in the system configuration on its performance. PRRA is integrated with a program to optimize the system. The proposed methodology is dramatically more efficient than one requiring a new Monte Carlo simulation each time we change the system. We demonstrate the approach on a drilling center and an electronic parts factory.


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    Titel :

    Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System


    Weitere Titelangaben:

    Sae Int. J. Mater. Manuf
    Sae International Journal of Materials and Manufacturing


    Beteiligte:

    Kongress:

    SAE 2011 World Congress & Exhibition ; 2011



    Erscheinungsdatum :

    2011-04-12


    Format / Umfang :

    19 pages




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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