Summary: Appropriate for junior- senior-level Simulation courses in departments of Engineering, Management and Computer Science; or a second course in Simulation. Edition/Copyright: 3RD 01
This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research and management science tools for dealing with system design in the presence of uncertainty. Proper collection and analysis of data, use of analytic techniques, verification and validation of ...show moremodels and the appropriate design of simulation experiments are treated extensively. Readily understandable to those having a basic familiarity with differential and integral calculus, probability theory and elementary statistics. The Third Edition reorganizes, updates and expands coverage to reflect the most recent developments in software and methodology, and adds a chapter on the simulation of computer systems. top
- NEW--New sections on when simulation is the appropriate tool and not the appropriate tool to use and the future of simulation software.
- NEW--Updated material on the properties and operation of current simulation software--Including simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software.
- NEW--Addition of properties, modeling and random-variate generation from the lognormal distribution.
- NEW--Enhanced discussion of p-values and ''best fits''-- as used in input modeling software, and of input modeling without data.
- NEW--Greatly reorganized discussion of output analysis--Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics.
- NEW--Up-to-date treatment of simulation of manufacturing and material handling systems--Independent of the simulation packages used to simulate them.
- NEW--New chapter that focuses on how discrete-event simulation is used in the design and evaluation of computer systems--Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. Topics in model representation and model input are considered, as are examples of simulating a web-server system, a CPU that executes instructions out-of-order, and memory hierarchies.
- NEW--Companion Website--Contains software downloads for examples in the book and links to simulation-related web sites.
- Simulation-software independent treatment of discrete-event simulation.
- Comprehensive coverage--Including modeling and analysis, simulation software, conducting successful simulation studies, and manufacturing, production and computer systems applications.
- Accessible to a wide audience at the undergraduate level.
Publisher: Prentice Hall, Inc.
Year Published: 2001
Other Editions of Discrete-event System Simulation: