Queuing models with customers’ impatience have become the hot topic of research in the current era. We normally encounter such queuing systems in grocery stores banks hospitals computer-communication networks etc. Customers’ impatience in case of revenue generating businesses leads to loss of revenue while customers’ impatience (packet loss frame loss etc.) in case of computer-communication networks leads to the loss of valuable information. Hence the study of queuing systems with impatient customers assumes a lot of significance. In this book we have developed and analysed a number of Markovian queuing systems with customers’ impatience and retention and have derived their transient solutions. The probability generating function technique and Runge-Kutta method of fourth order are employed for the transient analysis. Some important measures of performance like mean variance average reneging rate and average retention rate are derived and discussed. A number of numerical examples are provided in different chapters of the book which deal with the sensitivity analyses and some comparisons.
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