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TABLE OF CONTENTS
Preface
CHAPTER 1: INTRODUCTION
1.1 Modeling Automated
Manufacturing Systems
1.2 Performance
Modeling Tools
1.3 Organization
of the Book
1.4. Bibliographic Notes
and Bibliography
CHAPTER 2: AUTOMATED MANUFACTURING SYSTEMS
2.1 Introduction
2.2 Manufacturing
Systems
2.3 Performance
Measures
2.4 Computer Controlled
Machines
2.5 Material handling
Systems
2.6 Plant Layout
2.7 Flexible Manufacturing
Systems
2.8 Computer Control
Systems
2.9. Bibliographic Notes
and Bibliography
CHAPTER 3: MARKOV CHAIN MODELS
3.1 Memoryless Random
Variables
3.2 Stochastic Processes
in Manufacturing
3.3 Discrete Time
Markov Chain Models
3.4 Continuous Time
Markov Chain Models
3.5 A Case Study:
Markov Model of a Transfer Line
3.6 Birth and Death
Processes in Manufacturing
3.7 Time Reversible
Markov Chains in Manufacturing
3.8 Absorbing States
and Modeling of Deadlocks
3.9 Semi-Markov
Processes in Manufacturing
3.10 Transient Analysis
of Manufacturing Systems
3.11 Computational Issues
in Markov Analysis
3.12 Bibliographic Notes
and Bibliography
CHAPTER 4: QUEUEING MODELS
4.1 Queues: Notation
and Examples
4.2 The M/M/1 Queue
4.3 The M/M/m Queue
4.4 Batch Arrival
Queueing Systems
4.5 Queues with
General Distributions
4.6 Queues with
Breakdowns
4.7 Analysis of
a Flexible Machine Center
4.8 Queueing Networks
4.9 Open Queueing
Networks
4.10 Closed Queueing Networks
4.11 Product Form Queueing
Networks
4.12 Queueing Networks
with Blocking
4.13 Approximate Analysis
of Queueing Systems
4.14 Performability Analysis
4.15 Bibliographic Notes
and Bibliography
CHAPTER 5: PETRI NET MODELS
5.1 Classical Petri Nets
5.2 Stochastic Petri
Nets
5.3 Generalized
Stochastic Petri Nets
5.4 A Case Study:
Modeling of Kanban Systems
5.5 Deadlock Analysis
using Petri Nets
5.6 Extended Classes
of Petri Nets
5.7 Integrated Petri
Net - Queueing Network Models
5.8 Bibliographic
Notes and Bibliography
CHAPTER 6: EPILOGUE
INDEX