Introductory Management Science
Decision Modeling with Spreadsheets
5th Edition
Published on 6. February 1998
Book
Mixed media product
816 pages
978-0-13-889395-8 (ISBN)
Description
This highly-esteemed text introduces readers to the key ideas of modeling and management decision making that will be important to them throughout their careers. Addressing the needs of readers interested in both business administration and decision science careers, the book provides a conceptual foundation for all topics and the role of spreadsheet modeling techniques in the larger context of business decision-making. This text fully integrated Excel spreadsheets. It is packaged with a free CD-ROM which contains the student version of Crystal Ball Software, Excel templates, plus much, much more. Part of JIT program.
More details
Edition
5th edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Width: 260 mm
Thickness: 34 mm
Weight
1634 gr
ISBN-13
978-0-13-889395-8 (9780138893958)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Jeffrey H. Moore | Larry R. Weatherford
Decision Modeling with Microsoft (R) Excel
United States Edition
Book
01/2001
6th Edition
Pearson
€122.86
Article exhausted; check for reprint
Previous edition
Gary D. Eppen | Floyd J. Gould
Introductory Management Science
Book
01/1987
2nd Edition
Prentice Hall
€25.94
Article exhausted; check for reprint
Content
Part 1 Models and modelling: introduction to modelling; spreadsheet modelling. Part 2 Optimization: linear programming - formal models, linear programming - spreadsheet models; linear programming - geometric representations and graphical solutions; linear programming - interpreting the Solver Sensitive Report; linear programming - applications; Integer and non-linear models; multi-objective decision making. Part 3 Modelling under uncertainty: decision analysis; Monte Carlo simulation; simulation with spreadsheet add-ins; queuing models; forecasting; project management. Part 4 Implementation: implementation. Appendices: basic concepts in probability; answers to odd numbered problems; Excel commands useful for modelling; Solver tips and messages.