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.
Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System
Sae Int. J. Mater. Manuf
Sae International Journal of Materials and Manufacturing
SAE 2011 World Congress & Exhibition ; 2011
Sae International Journal of Materials and Manufacturing ; 4 , 1 ; 1169-1187
2011-04-12
19 pages
Aufsatz (Konferenz)
Englisch
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