Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management

Shengnan Wu

ISBN 10: 363915620X / ISBN 13: 9783639156201

Published by VDM Verlag Dr. Müller, 2009

About this Item

Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management | Shengnan Wu | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639156201 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.

Seller Inventory # 101563367

Bibliographic Details

• Title: Simulation-Based Decision Making for Complex Systems | Applications in Disaster Response Planning and Management
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 363915620X
• ISBN 13: 9783639156201
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 316 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Over the last several decades, computer simulations have been widely utilized to model and analyze complex systems at low costs and risks. Although simulation can represent physical systems realistically, it is a descriptive tool without the capability of suggesting better solutions. However, it can be complemented by incorporating optimization routines. The most challenging problem is that large-scale simulation models normally take a considerable amount of computer time to execute so that the number of solution evaluations needed by most optimization algorithms is not feasible within a reasonable time frame. This book, therefore, provides a highly efficient evolutionary simulation-based decision making procedure which can be applied in real-time management situations. We have used this novel simulation-optimization technique to study several disaster response problems. The methodologies provided herein should be useful to professionals and researchers in the fields of industrial engineering and operations research. The applications in disaster response management should help emergency managers and personnel to gain insights into several significant response problems.

About the Author

Shengnan "Shane" Wu is a researcher and professional in the area of operations research and management science. He received his Ph.D. from the University of Pittsburgh in 2008. His research interests are in advanced simulation, optimization and decision support systems. Dr. Wu currently works for US Airways in its Operations Control Center.