Stochastic Discrete Event Systems
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.
Coherent and comprehensive overview on modeling with and quantitative evaluation of stochastic discrete event systemsImportant model classes like queuing networks, Petri nets and automata are presented in detailIntroduction of a new abstract model class as a unifying frameworkNontrivial examples from areas like manufacturing control, performance of communication systems, and supply-chain management to explain real-world applications of SDES