Advances in Modeling and Simulation

Seminal Research from 50 Years of Winter Simulation Conferences

  • Andreas Tolk
  • John Fowler
  • Guodong Shao
  • Enver Yücesan

Part of the Simulation Foundations, Methods and Applications book series (SFMA)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Andreas Tolk, John Fowler, Guodong Shao, Enver Yücesan
    Pages 1-16
  3. Lee Schruben
    Pages 17-25
  4. Jie Xu
    Pages 27-46
  5. Claudia Szabo, Lachlan Birdsey
    Pages 47-62
  6. Eunhye Song, Barry L. Nelson
    Pages 63-80
  7. C. Dennis Pegden
    Pages 81-96
  8. David Jefferson, Richard Fujimoto
    Pages 97-134
  9. Susan M. Sanchez, Paul J. Sánchez
    Pages 159-179
  10. Ilya O. Ryzhov, Ye Chen
    Pages 181-217
  11. Susan R. Hunter, Barry L. Nelson
    Pages 249-275
  12. Raymond R. Hill, Andreas Tolk
    Pages 277-299
  13. John W. Fowler, Lars Mönch
    Pages 301-313
  14. Charles M. Macal, Chaitanya Kaligotla
    Pages 315-332
  15. Back Matter
    Pages 353-355

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 compl
ex systems with non-linear interactions
  • Reviews the evolution of simulation languages, and the history of the Time Warp algorithm
  • Offers a focus 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 next generation of WSC pioneers.

    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.


    Simulation Computational modelling Operations research Statistical models Dynamical systems

    Editors and affiliations

    1. 1.The MITRE CorporationHamptonUSA
    2. 2.Department of Supply Chain ManagementArizona State UniversityTempeUSA
    3. 3.National Institute of Standards and TechnologyGaithersburgUSA
    4. 4.T&OM AreaINSEADFontainebleauFrance

    Bibliographic information

    • DOI
    • Copyright Information Springer International Publishing AG (outside the USA) 2017
    • Publisher Name Springer, Cham
    • eBook Packages Computer Science Computer Science (R0)
    • Print ISBN 978-3-319-64181-2
    • Online ISBN 978-3-319-64182-9
    • Series Print ISSN 2195-2817
    • Series Online ISSN 2195-2825
    • Buy this book on publisher's site