Computer simulation in management science

著者

書誌事項

Computer simulation in management science

Michael Pidd

Wiley, c1998

4th ed

大学図書館所蔵 件 / 全31件

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注記

Includes bibliographical references and indexes

内容説明・目次

内容説明

Computer Simulation in Management Science Michael Pidd The Management School. University of Lancaster, UK The fourth edition of this book reflects its continued popularity and standing in the field. It provides a clear guide to the role of modelling in the computer simulation methods used in management science. Readers will find an in-depth coverage of the modelling, computing and statistical aspects of discrete simulation and systems dynamics. Part I is a general introduction to the simulation methods commonly used in management science. Part II gives a detailed exposition of discrete event simulation, and Part III provides a description of the methods of system dynamics as an approach to policy modelling within organisations. Overall, the book shows why computer simulation within organisations. Overall, the book shows why computer simulation models are popular and gives a thorough guide to their construction and use. Revisions to this edition include a completely new chapter on computer simulation in practice, which discusses how best to make use of computer simulation models in achieving real benefits within organisations. Updated areas include: three-phase and other methods sampling methods output analysis and experimentation discrete simulation software system dynamics simulation There are also links to software libraries in Turbo Pascal, C, C++, Visual BASIC and Java on the World Wide Web.

目次

FUNDAMENTALS OF COMPUTER SIMULATION IN MANAGEMENT SCIENCE. The Computer Simulation Approach. A Variety of Modelling Approaches. Computer Simulation in Practice. DISCRETE EVENT SIMULATION. Discrete Event Modelling. The Three--phase Approach. Event, Activity and Process--based Approaches to Discrete Simulation. Writing a Three--phase Simulation Program. Visual Interactive Simulation and Modelling. Selecting Discrete Simulation Software. Model Testing and Validation. Sampling Methods. Planning and Analysis of Discrete Simulation Output. SYSTEM DYNAMICS. Modelling Feedback Systems. System Dynamics Modelling and Simulation. System Dynamics in Practice. Reference. Indexes.

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