FUZZY SIMULATION METHOD FOR PARAMETER OPTIMIZATION OF TANDEM QUEUE SYSTEMS

This paper discusses the optimization of the mean processing rate in a tandem queue system (TQS) presented in Y.Li et.al (2004) by means of fuzzy simulation method. Since a tandem queue system is a discrete event dynamic system (DEDS) and service rates or other events may be stochastic, the fuzziness in the parameters of the system must be dealt with. Hence, in this paper we apply both conventional and fuzzy simulation methods and their results are compared. It is concluded that for a given amount of capital to allocate for optimization, percent of change in mean processing time by fuzzy simulation is greater than the percent of change obtained by conventional simulation.

Keywords:

Fuzzy Simulation , Tandem Queue Optimization , Perturbation