Books

Discrete-Event Simulation – Methodology:

• Law, A.M.: Simulation Modeling and Analysis, Fifth Edition, McGraw-Hill, New York (2015). Order
• Banks, J., J.S. Carson, B.L. Nelson, and D.M. Nicol: Discrete-Event System Simulation, Fifth Edition, Prentice Hall, Upper Saddle River, NJ (2010).

Discrete-Event Simulation – Software:

• Altiok, T. and B. Melamed: Simulation Modeling and Analysis with Arena, Academic Press, San Diego, CA (2008).
• Banks, J.: Getting Started with AutoMod, Second Edition, Brooks Automation, Bountiful, Utah (2004).
• Beaverstock, M., A. Greenwood, E. Lavery, and W. Nordgren: Applied Simulation: Modeling and Analysis Using FlexSim, Third Edition, Flexsim Software Products, Orem, Utah (2013).
• Borschshev, A.: The Big Book of Simulation Modeling: Multimethod Modeling with AnyLogic 6, AnyLogic North America, Lisle, Illinois (2013).
• Harrell, C.: Simulation Using ProModel, Third Edition, McGraw-Hill, New York (2011).
• Joines, J.A. and S.D. Roberts: Simulation Modeling with Simio: A Workbook, Fourth Edition, SIMIO LLC, Sewickley, PA (2015).
• Smith, J.S., D.T. Sturrock, and W.D. Kelton: Simulation and Simio: Modeling, Analysis, and Applications, Fourth Edition, CreateSpace (2017).
• Kelton, W.D., R.P. Sadowski, and N. Zupick: Simulation with Arena, Sixth Edition, McGraw-Hill, New York (2017).
• Rossetti, M.D.: Simulation Modeling and Arena, Second Edition, Wiley, New York (2015).

Discrete-Event Simulation - Other:

• Banks, J. (Editor): Handbook of Simulation, Wiley, New York (1998).
• Bratley, P., B.L. Fox, and L.E. Schrage: A Guide to Simulation, Second Edition, Springer-Verlag, New York (1987).
• Fishman, G.S.: Discrete-Event Simulation: Modeling, Programming, and Analysis, Springer-Verlag, New York (2001).
• Haas, P.J.: Stochastic Petri Nets: Modelling, Stability, Simulation, Springer, New York (2002).
• Henderson, S.G. and B.L. Nelson: Handbooks in Operations Research and Management Science: Simulation, Volume 13: Elsevier Science and Technology (2007).
• Kleijnen, J.P.C.: Design and Analysis of Simulation Experiments, Second Edition, Springer-Verlag, New York (2015).
• Leemis, L.H. and S.K. Park: Discrete-Event Simulation: A First Course, Prentice Hall, Upper Saddle River, NJ (2006).
• Nelson, B.L.: Foundations and Methods of Stochastic Simulation: A First Course, Springer, New York (2013).
• Robinson, S.: Simulation: The Practice of Model Development and Use, Second Edition, Palgrave Macmillan, England (2014).
• Ross, S. M.: Simulation, Fifth Edition, Academic Press, San Diego, CA (2012).
• Zeigler, B.P., T.G. Kim, and H. Praehofer: Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Systems, Second Edition, Academic Press, San Diego, CA (2000).

Agent-Based Simulation:

• Epstein, J.M.: Generative Social Science: Studies in Agent-Based Computational Modeling, Princeton University Press, Princeton, NJ (2007).
• Epstein, J.M. and R. Axtell: Growing Artificial Societies: Social Science from the Bottom Up, Brookings Institute Press, Washington, DC (1996).
• Gilbert, N.: Agent-Based Models, Sage Publications, London (2008).
• Gilbert, N. and K.G. Troitzsch: Simulation for the Social Scientist, Second Edition, Open University Press, Berkshire, U.K. (2005).
• Ilachinski, A.: Artificial War: Multiagent-Based Simulation of Combat, World Scientific Publishing Company, Singapore (2004).
• North, M.J. and C.M. Macal: Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation, Oxford University Press, Oxford, U.K. (2007).
• Railsback, S.F. and V. Grimm: Agent-Based and Individual-Based Modeling: A Practical Introduction, Second Edition, Princeton University Press, Princeton, NJ (2019).
• Wilensky, U. and W. Rand: An Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo, MIT Press, Cambridge, MA (2015).

Monte-Carlo Simulation:

• Asmussen, S. and P.W. Glynn: Stochastic Simulation: Algorithms and Analysis, Springer, New York (2008).
• Fishman, G.S.: Monte Carlo: Concepts, Algorithms, and Applications, Springer-Verlag, New York (1996).
• Fishman, G.S.: A First Course in Monte Carlo, Duxbury, Belmont, CA (2005).
• Glasserman, P.: Monte Carlo Methods in Financial Engineering, Springer, New York(2003).
• Rubinstein, R.Y. and D.P. Kroese: Simulation and the Monte Carlo Method, Wiley, New York (2008).

Probability and Statistics:

• Conover, W.J.: Practical Nonparametric Statistics, Third Edition, John Wiley, New York (1999).
• Devore, J.L.: Probability and Statistics for Engineering and the Sciences, Ninth Edition, Cengage, Belmont, CA (2015).
• James, J., D. Witten, T. Hastie, and R. Tibshirani: An Introduction to Statistical Learning: with Applications in R, Springer, New York (2013).
• Montgomery, D.C.: Design and Analysis of Experiments, Tenth Edition, Wiley, New York (2020).
• Montgomery, D.C. and G.C. Runger: Applied Statistics and Probability for Engineers, Seventh Edition, Wiley, New York (2020).

Stochastic Operations Research:

• Gross, D., J.F. Shortle, J.M. Thompson, and C.M. Harris: Fundamentals of Queueing Theory, Fourth Edition, John Wiley, New York (2009).
• Ross, S.M.: Introduction to Probability Models, Twelfth Edition, Academic Press, San Diego (2019).