Written by a leading researcher this book presents an introduction to Stochastic Petri Nets covering the modeling power of the proposed SPN model, the stability conditions and the simulation methods. Its unique and well-written approach provides a timely and important addition to the literature. Appeals to a wide range of researchers in engineering, computer science, mathematics and OR.Introduction * Modelling with Stochastic Petri Nets * The Marking Process * Modelling Power * Recurrence * Regenerative Simulation * Alternative Simulation Methods * Delays * Colored Stochastic Petri Nets * Appendix A Selected Background * References * Index- Provides a well thought-out and complete picture of the subject of Stochastic Petri Nets, emphasizing their modeling power - Appeals to a wide range of researchers in engineering, computer science, mathematics and operations research - Includes a wide variety of examples illustrating applications in various fieldsStochastic petri nets have proven to be a useful tool for modelling and performance analysis of complex discrete-event stochastic systems such as those in telecommunications, manufacturing, transportation. This monograph centers on techniques for the modelling and computer simulation of such systems. Researchers and graduate students in applied math, computer engineering, computer science, electrical engineering, industrial engineering operations research and applied probability will find this book useful.Springer Book Archives