Decision Problems in Queueing Theory: a Numeric Application

The application of general behavioral patterns obtained from stochastic processes has always played an important role in Queuing Theory. Since the first studies in which optimization techniques were used in the decision-making process, design and control procedures have been included in studies especially in the field of statistics and operations. In the first studies where queuing systems were modeled and their operability was optimized, performance measures such as the block probability and the average waiting times in the system were considered in the decision-making process. With the availability of performance measures based on probabilistic methods in modeling queuing systems, the decision-making process has begun to be based on such measures. In this study probabilistic calculations of some performance measures of a custom queueing system is given in order to make a decision for optimum parameters of the system. In addition, a numerical example is given to illustrate the case.