This book 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 models 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. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation.
"synopsis" may belong to another edition of this title.
This book 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 models 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. Includes simulation in C++, the latest versions of the most widely used packages, and features of simulation output analysis software. Covers properties, modeling and random-variate generation from the lognormal distribution. Clarifies the difficult distinctions between terminating and steady-state simulation, and between within- and across-replication statistics. Contains up-to-date treatment of simulation of manufacturing and material handling systems. Emphasizes the hierarchical nature of computing systems, and how simulation techniques vary, depending on the level of abstraction. For readers wanting to learn more about system simulation.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: As New. No Jacket. 3rd Edition. Dive into the world of discrete-event system simulation with "Discrete-Event System Simulation (3rd Edition)" authored by Jerry Banks, John S. Carson, Barry L. Nelson, and David M. Nicol. Part of the distinguished Prentice Hall Series in Industrial and Systems Engineering, this hardcover 3rd edition, 3rd printing, is a gem in Like New/Fine condition. The covers of this edition are splendidly preserved, showing only a subtle hint of shelf wear. The binding stands as a testament to its sturdiness, preserving the book's integrity and structure. A minor abrasion graces the front flyleaf, adding to the unique character of the book.Within the pages, the narrative unfolds with clarity, and the content remains untouched and unmarked. The book's pristine interior showcases its Like New/Fine condition, making it a valuable resource for those seeking insights into discrete-event simulation.Meticulous packaging will be employed to safeguard the book's condition during transit, offering protection against any potential environmental elements. To provide you with exceptional service, an USPS electronic tracking number will be issued without charge, allowing you to monitor the progress of your shipment.If you desire additional information or visual representations of this edition, please feel free to reach out. "Discrete-Event System Simulation (3rd Edition)" grants access to a comprehensive exploration of simulation techniques, making it a valuable addition to the library of anyone interested in the field. Seller Inventory # 15799
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