Queues and their applications in service industries
Queueing models play a significant role in many walks of life. In this talk, we will focus on a few selected queueing models useful in service sectors. While the literature on queueing models is vast and filled with a variety of applications, the number of models with implementable and useful results needs to be increased. We will use both analytical and simulation approaches to discuss a few selected models useful in practice as well as to point out the significant role played by the correlated arrivals. Correlated arrivals occur naturally in service sectors due to the fact that customers/jobs arrive from different sources. We also report some interesting observations based on the analytical models of some well-known queueing models. We believe that some of which, especially the ones dealing with the busy period and the distribution functions of the sojourn times, are not reported in the literature and which are very useful for managerial decision making in service sectors.