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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.
List of contents
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.
Summary
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.
Additional text
From the reviews of the first edition:
"This book contains the description of how to apply modern iterative numerical methods to solve linear systems to obtain steady state probabilities for the Markov processes under consideration. … the most important contribution of the book is to the art of constructing suitable preconditioners. … the core chapters contain interesting methods and examples which seem to be well chosen to pave the path for applying the methods recommended by the author." (Hans Daduna, Mathematical Methods of Operations Research, Vol. 55 (3), 2002)
Report
From the reviews of the first edition:
"This book contains the description of how to apply modern iterative numerical methods to solve linear systems to obtain steady state probabilities for the Markov processes under consideration. ... the most important contribution of the book is to the art of constructing suitable preconditioners. ... the core chapters contain interesting methods and examples which seem to be well chosen to pave the path for applying the methods recommended by the author." (Hans Daduna, Mathematical Methods of Operations Research, Vol. 55 (3), 2002)
