Iterative Methods for Queuing and Manufacturing Systems, Softcover reprint of hardcover 1st ed. 2001
Springer Monographs in Mathematics Series

Iterative Methods for Queuing and Manufacturing Systems introduces the recent advances and developments in iterative methods for solving Markovian queuing and manufacturing problems.
Key highlights include:
- an introduction to simulation and simulation software packages;
- Markovian models with applications in inventory control and supply chains; future research directions.
With numerous exercises and fully-worked examples, this book will be essential reading for anyone interested in the formulation and computation of queuing and manufacturing systems but it will be of particular interest to students, practitioners and researchers in Applied Mathematics, Scientific Computing and Operational Research.

1. Introduction and Overview.- 2. Toeplitz-Circulant Preconditioners for Queuing Systems with Batch Arrivals.- 3. Circulant-Based Preconditioners for Queuing Systems with Markov-Modulated Poisson Process Inputs.- 4. Application of MMPP to Manufacturing Systems of Multiple Unreliable Machines.- 5. Manufacturing Systems with Batch Arrivals.- 6. Flexible Manufacturing Systems of Unreliable Machines.- 7. Manufacturing Systems of Two Machines in Tandem.- 8. Manufacturing Systems with Delivery Time Guarantee.- 9. Multi-Location and Two-Echelon Inventory Systems.- References.

Recent developments are highlighted with worked examples Discusses future research directions Includes an introduction to simulation and simulation packages