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.The example belongs to the class of flexible manufacturing systems (FMS). It comprises a robot, an AGV system, and four conveyors for material transport, two machines, one manual work place, and one assembly station. Figure 13.1 shows aanbsp;...
Title | : | Stochastic Discrete Event Systems |
Author | : | Armin Zimmermann |
Publisher | : | Springer Science & Business Media - 2008-01-12 |
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