Efficient Probabilistic Reanalysis and Optimization of a Discrete Event System 2011-01-1081
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.
SAE International Journal of Materials and Manufacturing-V120-5, SAE International Journal of Materials and Manufacturing-V120-5EJ, Reliability and Robust Design in Automotive Engineering, 2011-SP-2306