The first chapter presents concepts about quantitative models for decision making; the process that follows is used when constructing a model and definitions of queueing theory: work in process, cycle time, and congestion. Also presented and explained is the Kendall notation that will be used throughout the book. The chapter shows some examples of waiting line systems at the end.
The exponential distribution and the Erlang distribution function are been used in numerous areas of mathematics, and specifically in the queueing theory. Such and similar applications emphasize the importance of estimation of error of approximation by the Erlang distribution function. The article gives an analysis and technique of error’s estimation of an accuracy of such approximation, especially in some specific cases.
M/M/S Queueing Theory Model to Solve Waiting Line and to Minimize Estimated Total Cost