An Introduction to management science quantitative approaches to decision making

By:

Anderson, David R

Contributor(s):

Material type: Text

TextPublication details: Thomson Asia Pvt. Ltd. Singapore 2003Edition: 10th edDescription: xxiv, 881 pISBN:

9789812406484

Subject(s):

Management science - Mathematical models

DDC classification:

658.4032 A6I6

Summary: Introduce Your Students To Management Science Techniques With The Thorough, Applications-Oriented Coverage You Can Trust From The Definitive Leader In Traditional Management Science Texts. The Best-Selling Anderson/Sweeney/Williams/Martin's Introduction To Management Science: A Quantitative Approach To Decision Making, 13e, Has Helped Define The Topical Coverage Presented Within Today's Management Science Course Curriculum. This Book Provides A Thorough Grounding In Management Science Techniques With A Readable Presentation Style And A Wealth Of Examples Drawn From A Variety Of Businesses Throughout The World

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Nagpur General Stacks	Non-fiction	658.4032 A6I6 (Browse shelf(Opens below))	Available		IIMN-000018

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Previous	658.403 S7P7 The problem-solving, problem-prevention, and decision-making guide: organized and systematic roadmaps for managers	658.403015 L2H6 How to make the right decision	658.4032 A5M2 Management science modeling	658.4032 A6I6 An Introduction to management science quantitative approaches to decision making	658.4032 A6I6-1 An introduction to management science:	658.4032 A6I6-2 An introduction to management science: quantitative approaches to decision making	658.4032 A6I6-2 An introduction to management science:	Next

Table of Contents: 1. Introduction 2. An Introduction to Linear Programming 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution 4. Linear Programming Applications 5. Linear Programming: The Simplex Method 6. Simplex-Based Sensitivity Analysis and Duality 7. Transportation, Assignment, and Transhipment Problems 8. Integer Linear Programming 9. Network Models 10. Project Scheduling: PERT/CPM 11. Inventory Models 12. Waiting Line Models 13. Simulation 14. Decision Analysis 15. Multicriteria Decision Problems 16. Forecasting 17. Markov Processes 18. Dynamic Programming

Introduce Your Students To Management Science Techniques With The Thorough, Applications-Oriented Coverage You Can Trust From The Definitive Leader In Traditional Management Science Texts. The Best-Selling Anderson/Sweeney/Williams/Martin's Introduction To Management Science: A Quantitative Approach To Decision Making, 13e, Has Helped Define The Topical Coverage Presented Within Today's Management Science Course Curriculum. This Book Provides A Thorough Grounding In Management Science Techniques With A Readable Presentation Style And A Wealth Of Examples Drawn From A Variety Of Businesses Throughout The World

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