An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card) / Edition 13

An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised (with Microsoft Project and Printed Access Card) / Edition 13

by David R. Anderson
     
 


Gain a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted… See more details below

Overview


Gain a sound conceptual understanding of the role that management science plays in the decision-making process with the latest edition of the book that has defined today's management science course: Anderson/Sweeney/Williams/Camm/Martin's AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, REVISED 13th Edition. The trusted market leader for more than two decades, the new edition now prepares readers for success with the latest developments in Microsoft Office Excel 2010, including data sets, applications and screen visuals throughout that reflect Excel 2010. Readers learn from the book's proven applications-oriented approach, powerful examples, and problem-scenario approach that introduces each quantitative technique within an applications setting. Readers can get a copy of LINGO software and Excel add-ins with the book's online content. A copy of the popular Microsoft Project Professional 2010 accompanies the book on CD.

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Product Details

ISBN-13:
9781111532222
Publisher:
Cengage Learning
Publication date:
03/04/2011
Edition description:
Revised
Pages:
896
Product dimensions:
7.44(w) x 9.69(h) x 0.79(d)

Table of Contents


1. Introduction. 2. An Introduction to Linear Programming. 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution. 4. Linear Programming Applications in Marketing, Finance, and Operations Management. 5. Advanced Linear Programming Applications. 6. Distribution and Network Models. 7. Integer Linear Programming. 8. Nonlinear Optimization Models. 9. Project Scheduling: PERT/CPM. 10. Inventory Models. 11. Waiting Line Models. 12. Simulation. 13. Decision Analysis. 14. Multicriteria Decisions. 15. Forecasting. 16. Markov Processes. 17. Linear Programming: Simplex Method (on Website). 18. Simplex-Based Sensitivity Analysis and Duality (on Website). 19. Solution Procedures for Transportation (on Website). 20. Minimal Spanning Tree (on Website). 21. Dynamic Programming (on Website).

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