ABSTRACT
Chapter 6 explored how analytical queuing models offer powerful means for understanding and evaluating queuing processes. However, the use of these analytical models is somewhat restricted by their underlying assumptions. The limitations pertain to the structure of the queuing system, the way variability can be incorporated into the models, and the focus on steady-state analysis. Because many business processes are cross-functional and characterized by complex structures and variability patterns, a more flexible modeling tool is needed. Simulation offers this flexibility and represents a powerful approach for analysis and quantitative evaluation of business processes.
