Stochastic discrete-event systems (SDES) capture the randomness in choices due to activity delays and the probabilities of decisions.
This book delivers a comprehensive overview on modeling with a quantitative evaluation of SDES. It presents an abstract model class for SDES as a pivotal unifying result and details important model classes. The book also includes nontrivial examples to explain real-world applications of SDES.