
Introduction to Management Science: Global Edition
Bernard Taylor(Author)
Pearson Education Limited (Publisher)
11th Edition
Published on 15. March 2012
Book
Paperback/Softback
840 pages
978-0-273-76640-7 (ISBN)
Article exhausted; check for reprint
Description
For undergraduate courses in Management Science.
A simple, straightforward approach to modeling and solution techniques.
Introduction to Management Science shows students how to approach decision-making problems in a straightforward, logical way. Through the use of clear explanations and examples, this text helps students learn how to solve problems and make decisions based on the results.
The eleventh edition reflects the latest version of Excel, and provides many new problems for instructors to assign.
A simple, straightforward approach to modeling and solution techniques.
Introduction to Management Science shows students how to approach decision-making problems in a straightforward, logical way. Through the use of clear explanations and examples, this text helps students learn how to solve problems and make decisions based on the results.
The eleventh edition reflects the latest version of Excel, and provides many new problems for instructors to assign.
More details
Edition
11th edition
Language
English
Place of publication
Harlow
United Kingdom
Target group
College/higher education
Dimensions
Height: 254 mm
Width: 204 mm
Thickness: 37 mm
Weight
1740 gr
ISBN-13
978-0-273-76640-7 (9780273766407)
Schweitzer Classification
Other editions
New editions

Bernard Taylor
Introduction to Management Science, Global Edition
Book
10/2015
12th Edition
Pearson Education Limited
€106.65
Shipment within 10-20 days
Previous edition

Book
04/2009
10th Edition
Pearson Education (US)
€64.36
Article exhausted; check for reprint
Content
Chapter 1: Management Science
Chapter 2: Linear Programming: Model Formulation and Graphical Solution
Chapter 3: Linear Programming: Computer Solution and Sensitivity Analysis
Chapter 4: Linear Programming: Modeling Examples
Chapter 5: Integer Programming
Chapter 6: Transportation, Transshipment, and Assignment Problems
Chapter 7: Network Flow Models
Chapter 8: Project Management
Chapter 9: Multicriteria Decision Making
Chapter 10: Nonlinear Programming
Chapter 11: Probability and Statistics
Chapter 2: Linear Programming: Model Formulation and Graphical Solution
Chapter 3: Linear Programming: Computer Solution and Sensitivity Analysis
Chapter 4: Linear Programming: Modeling Examples
Chapter 5: Integer Programming
Chapter 6: Transportation, Transshipment, and Assignment Problems
Chapter 7: Network Flow Models
Chapter 8: Project Management
Chapter 9: Multicriteria Decision Making
Chapter 10: Nonlinear Programming
Chapter 11: Probability and Statistics