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.

Discrete Event System Simulation (Prentice-Hall international series in industrial and systems engineering)

Business & Money

Banks, Jerry

Carson, John H.

Management & Leadership

Prentice-Hall Canada, Incorporated

This text provides a basic treatment of discrete-event simulation, one of the most widely used operations research tools presently available. Proper collection and analysis of data, use of analytic techniques, verification and validation of models, and an 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 Second Edition reorganises, updates and expands coverage to reflect the most recent developments.

Discrete-Event System Simulation

Science & Math

Nelson, Barry L.

Carson, John S., II

Physics

Pearson College Div

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, www.bcnn.net/, including simulation source code for download, additional exercises and solutions, web links and errata.

Engineering & Transportation

Carson, John

Nelson, Barry

Nicol, David

Engineering

Pearson

Published in 1991, the first edition of Forecasting and Management of Technology was one of the leading handful of books to deal with the topic of forecasting of technology and technology management as this discipline was emerging. The new, revised edition of this book will build on this knowledge in the context of business organizations that now place a greater emphasis on technology to stay on the cutting edge of development. The scope of this edition has broadened to include management of technology content that is relevant to now to executives in organizations while updating and strengthening the technology forecasting and analysis content that the first edition is reputed for. 
Updated by the original author team, plus new author Scott Cunningham, the book takes into account what the authors see as the innovations to technology management in the last 17 years: the Internet; the greater focus on group decision-making including process management and mechanism design; and desktop software that has transformed the analytical capabilities of technology managers. Included in this book will be 5 case studies from various industries that show how technology management is applied in the real world.

Forecasting and Management of Technology

Porter, Alan L.

Cunningham, Scott W.

Mason, Thomas W.

Rossini, Frederick A.

Roper, A. Thomas

wiley

SIMAN is a simulation language used throughout the world, much like GPSS and SLAM. In industrial engineering, SIMAN and SLAM are the dominant simulation languages.

Introduction to SIMAN V and CINEMA V

Computers & Technology

Burnette, Barry B.

Kozloski, Henry

Rose, James D.

Computer Science

An introduction to the quality function in modern manufacturing and service organizations. Provides background statistical information, and each new topic is illustrated by one or more examples. Discusses the means of achieving and managing quality control--statistical tools, specifications and tolerances, sampling, and computer applications. Also includes a chapter on the history of quality control. Contains figures, tables, and end-of-chapter problems.

Principles of Quality Control

John Wiley&Sons, Inc.

Handbook of Tables and Graphs for the Industrial Engineer and Manager

Handbook of Tables and Graphs for the Industrial Engineer and Manager

Heikes, Russell G.

Mathematics

Reston, Pub. Co

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, www.bcnn.net/, including simulation source code for download, additional exercises and solutions, web links and errata.

Discrete-Event System Simulation: Pearson New International Edition

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