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Discrete-event System Simulation

Discrete Event System Simulation is ideal for junior- and senior-level simulation courses in engineering, business, or computer science. It is also a useful reference for professionals in operations research, management science, industrial engineering, and information science. While most books on simulation focus on particular software tools, Discrete Event System Simulation examines the principles of modeling and analysis that translate to all such tools. This language-independent text explains the basic aspects of the technology, including the proper collection and analysis of data, the use of analytic techniques, verification and validation of models, and designing simulation experiments. It offers an up-to-date treatment of simulation of manufacturing and material handling systems, computer systems, and computer networks. Students and instructors will find a variety of resources at the associated website,, including simulation source code for download, additional exercises and solutions, web links and errata.

BANKS, J., J. S. CARSON, AND J. N. SY [1995], Getting Started with GPSS/H, 2d
ed., Wolverine Software Corporation, ... HARRELL, C. R., B. K. GHOSH, AND R.
BOWDEN [2003], Simulation Using ProModel, 2d ed., NewYork: McGraw-Hill.

Handbook of Simulation

Principles, Methodology, Advances, Applications, and Practice

The only complete guide to all aspects and uses of simulation-from the international leaders in the field There has never been a single definitive source of key information on all facets of discrete-event simulation and its applications to major industries. The Handbook of Simulation brings together the contributions of leading academics, practitioners, and software developers to offer authoritative coverage of the principles, techniques, and uses of discrete-event simulation. Comprehensive in scope and thorough in approach, the Handbook is the one reference on discrete-event simulation that every industrial engineer, management scientist, computer scientist, operations manager, or operations researcher involved in problem-solving should own, with an in-depth examination of: * Simulation methodology, from experimental design to data analysis and more * Recent advances, such as object-oriented simulation, on-line simulation, and parallel and distributed simulation * Applications across a full range of manufacturing and service industries * Guidelines for successful simulations and sound simulation project management * Simulation software and simulation industry vendors

ACKNOWLEDGMENTS Information in this chapter has been derived in pan from
conversations with software- vendor personnel, ... Benson, D. (1997) Simulation
Modeling and Optimization using Promodel, in Proceedings of the 1997 Winter ...