Stochastic Discrete Event Systems Modeling, Evaluation, Applications / by Armin Zimmermann.

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...

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Bibliographic Details
Main Author: Zimmermann, Armin (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edition:1st ed. 2008.
Series:Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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.