Stochastic Discrete Event Systems Modeling, Evaluation, Applications /

• Main Author: Zimmermann, Armin (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Subjects: Computer science.; Computer system failures.; Mathematical statistics.; Computer simulation.; Mathematical models.; Probabilities.; Computer Science.; Probability and Statistics in Computer Science.; Probability Theory and Stochastic Processes.; System Performance and Evaluation.; Simulation and Modeling.; Mathematical Modeling and Industrial Mathematics.

The behavior of many technical systems important in everyday life can be described using discrete states and state-changing events. Stochastic discrete-event systems (SDES) capture the randomness in choices and over time due to activity delays and the probabilities of decisions. The starting point f...

Table of Contents:

• Modeling
• A Unified Description for Stochastic Discrete Event Systems
• Stochastic Timed Automata
• Queuing Models
• Simple Petri Nets
• Colored Petri Nets
• Evaluation
• Standard Quantitative Evaluation Methods for SDES
• An Iterative Approximation Method
• Efficient Simulation of SDES Models
• System Optimization
• Model-Based Direct Control
• Software Tool Support
• Applications
• Optimization of a Manufacturing System
• Communication System Performability Evaluation
• Supply Chain Performance Evaluation and Design
• Model-Based Design and Control of a Production Cell
• Summary and Outlook.