Overview
- Marks the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating advances in the field of systems simulation
- Showcases the many significant contributions that the WSC community has made to the broader modeling and simulation community
- Presents seminal research from titans of simulation, as well as rising stars noted for their exceptional research in the field
Part of the book series: Simulation Foundations, Methods and Applications (SFMA)
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Table of contents (16 chapters)
Keywords
About this book
This broad-ranging text/reference presents a fascinating review of the state of the art of modeling and simulation, highlighting both the seminal work of preeminent authorities and exciting developments from promising young researchers in the field. Celebrating the 50th anniversary of the Winter Simulation Conference (WSC), the premier international forum for disseminating recent advances in the field of system simulation, the book showcases the historical importance of this influential conference while also looking forward to a bright future for the simulation community.
Topics and features: examines the challenge of constructing valid and efficient models, emphasizing the benefits of the process of simulation modeling; discusses model calibration, input model risk, and approaches to validating emergent behaviors in large-scale complex systems with non-linear interactions; reviews the evolution of simulation languages, and the history of the Time Warp algorithm; offers afocus on the design and analysis of simulation experiments under various goals, and describes how data can be “farmed” to support decision making; provides a comprehensive overview of Bayesian belief models for simulation-based decision making, and introduces a model for ranking and selection in cloud computing; highlights how input model uncertainty impacts simulation optimization, and proposes an approach to quantify and control the impact of input model risk; surveys the applications of simulation in semiconductor manufacturing, in social and behavioral modeling, and in military planning and training; presents data analysis on the publications from the Winter Simulation Conference, offering a big-data perspective on the significant impact of the conference.This informative and inspiring volume will appeal to all academics and professionals interested in computational and mathematical modeling and simulation, as well as to graduate students on the path to form the nextgeneration of WSC pioneers.Editors and Affiliations
About the editors
Dr. Andreas Tolk is a Technology Integrator at The MITRE Corporation, Hampton, VA, USA, and adjunct Professor at Old Dominion University, Norfolk, VA, USA.
Dr. John Fowler is the Motorola Professor of Supply Chain Management in the W.P. Carey School of Business at Arizona State University, AZ, Tempe, USA.
Dr. Guodong Shao is a Computer Scientist in the Systems Integration Division (SID) of the Engineering Laboratory (EL) at the National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
Dr. Enver Yücesan is a Professor of Operations Management at INSEAD, Fontainebleau, France.
Bibliographic Information
Book Title: Advances in Modeling and Simulation
Book Subtitle: Seminal Research from 50 Years of Winter Simulation Conferences
Editors: Andreas Tolk, John Fowler, Guodong Shao, Enver Yücesan
Series Title: Simulation Foundations, Methods and Applications
DOI: https://doi.org/10.1007/978-3-319-64182-9
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG (outside the USA) 2017
Hardcover ISBN: 978-3-319-64181-2Published: 14 September 2017
Softcover ISBN: 978-3-319-87743-3Published: 11 August 2018
eBook ISBN: 978-3-319-64182-9Published: 27 August 2017
Series ISSN: 2195-2817
Series E-ISSN: 2195-2825
Edition Number: 1
Number of Pages: XII, 355
Number of Illustrations: 29 b/w illustrations, 6 illustrations in colour
Topics: Simulation and Modeling, Mathematical Modeling and Industrial Mathematics, Computer-Aided Engineering (CAD, CAE) and Design, Operations Research, Management Science