Computer Models for Management Science PDF Download
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Author: Warren J. Erikson
Publisher:
ISBN:
Category :
Languages : en
Pages : 303
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Book Description
Author: Warren J. Erikson
Publisher:
ISBN:
Category :
Languages : en
Pages : 303
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Book Description
Author: Warren J. Erikson
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 328
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Book Description
Author: Owen P. Hall
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Business & Economics
Languages : en
Pages : 216
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Book Description
Author: Warren J. Erikson
Publisher: Prentice Hall
ISBN: 9780201500455
Category :
Languages : en
Pages :
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Book Description
Author: Michael Pidd
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 312
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Book Description
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.
Author: Roy D. Harris
Publisher: HarperCollins Publishers
ISBN:
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Author: Michael Pidd
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 344
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Book Description
Table of contents
Author: Warren J. Erikson
Publisher:
ISBN: 9780201514278
Category :
Languages : en
Pages : 363
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Book Description
Author: S. Christian Albright
Publisher:
ISBN: 9781111532451
Category : Electronic spreadsheets
Languages : en
Pages : 917
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Book Description
Easy to understand and to the point, MANAGEMENT SCIENCE MODELING, 4th Edition, International Edition uses an active-learning approach and realistic problems to help you understand and take advantage of the power of spreadsheet modeling. With real examples and problems drawn from finance, marketing, and operations research, you will easily come to see how management science applies to your chosen profession and how you can use it on the job. The authors emphasize modeling over algebraic formulations and memorization of particular models. The essentials resource website, whose access is available with every new book, includes links to the following add-ins: the Palisade Decision Tools Suite (@RISK, StatTools, PrecisionTree, TopRank, RISKOptimizer, NeuralTools, and Evolver); and SolverTable, which allows you to do sensitivity analysis. All of these add-ins have been revised for Excel 2010.
Author: Arben Asllani
Publisher: Pearson Education
ISBN: 0133760359
Category : Business & Economics
Languages : en
Pages : 401
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Book Description
This book is about prescriptive analytics. It provides business practitioners and students with a selected set of management science and optimization techniques and discusses the fundamental concepts, methods, and models needed to understand and implement these techniques in the era of Big Data. A large number of management science models exist in the body of literature today. These models include optimization techniques or heuristics, static or dynamic programming, and deterministic or stochastic modeling. The topics selected in this book, mathematical programming and simulation modeling, are believed to be among the most popular management science tools, as they can be used to solve a majority of business optimization problems. Over the years, these techniques have become the weapon of choice for decision makers and practitioners when dealing with complex business systems.
