
Advanced Systems Modeling and Simulation
Anjali Awasthi(Editor)
Elsevier (Publisher)
Will be published approx. on 31. December 2045
Book
Paperback/Softback
250 pages
978-0-323-89772-3 (ISBN)
Description
Advanced Systems Modeling and Simulation explains a wide range of concepts, tools, and techniques for advanced systems modeling and simulation.
A simulation is a computer model of a system and almost any phenomenon can be analyzed and described as such in order to gain practical insights into how it works. Increases in computing power as well as ongoing developments in the creation and storage of data have brought simulations into a wider range of application areas, adding significant value and also creating a need for information and advice on how to use these tools in new contexts.
Starting with fundamental information on modeling and simulation, this book goes on to provide detailed and practical advice on the most relevant modeling and simulation methods, before exploring case studies from applications in other areas, including transportation, supply chain, manufacturing, and healthcare.
A simulation is a computer model of a system and almost any phenomenon can be analyzed and described as such in order to gain practical insights into how it works. Increases in computing power as well as ongoing developments in the creation and storage of data have brought simulations into a wider range of application areas, adding significant value and also creating a need for information and advice on how to use these tools in new contexts.
Starting with fundamental information on modeling and simulation, this book goes on to provide detailed and practical advice on the most relevant modeling and simulation methods, before exploring case studies from applications in other areas, including transportation, supply chain, manufacturing, and healthcare.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
Researchers and postgraduate students working on complex systems from an engineering perspective. Engineers, researchers, and designers in industry with an interest in simulation techniques.
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 229 mm
Width: 152 mm
ISBN-13
978-0-323-89772-3 (9780323897723)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Person
Anjali Awasthi?is a Professor and the Concordia University Research Chair (Tier-II) in Connected Sustainable Mobility Systems at the Concordia Institute for Information Systems Engineering (CIISE), at Concordia University, Montreal, Canada. Prior to Concordia, Dr. Awasthi worked at the University of British Columbia and the University of Laval where she was involved in several projects on industrial applications of operations research. In France, she was involved in many European projects aimed at improving urban mobility in cities, city logistics, and on cybernetic transportation systems. Her areas of research are modeling and simulation, data mining, information technology and decision-making, sustainable logistics planning, quality assurance in supply chain management and sustainable supply chain management. She is currently serving as the Education Chair for CORS (Canadian Operations Research Society), a senior member of ASQ (American Society for Quality), an associate of LSRC (Loyola Sustainability Research Center), and a regular member of CIRRELT (Centre?Interuniversitaire?de Recherche sur les Reseaux?d'Entreprise, la?Logistique?et le Transport). She is also the recipient of the Eldon Gunn Service Award (CORS 2018, Halifax) and the IEOM Special Recognition Award (4th North American Conference on Industrial Engineering and Operations Management, Toronto, 2019).
Editor
Professor and Concordia University Research Chair (Tier-II) in Connected Sustainable Mobility Systems, Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, Quebec, Canada
Content
1. Fundamentals of Systems Simulation
2. Discrete Event Simulation
3. System Dynamics Simulation
4. Monte Carlo Simulation
5. Agent Based Simulation
6. Uncertainty Modeling
7. Simulation-Based Optimization
8. Large Scale Systems Simulation
9. Simulation Applications and Case Studies
2. Discrete Event Simulation
3. System Dynamics Simulation
4. Monte Carlo Simulation
5. Agent Based Simulation
6. Uncertainty Modeling
7. Simulation-Based Optimization
8. Large Scale Systems Simulation
9. Simulation Applications and Case Studies