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Operations research : a model-based approach

Author: H A Eiselt; C -L Sandblom
Publisher: New York : Springer, 2010.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
Annotation The book covers the standard models and techniques used in decision making in organizations. The main emphasis of the book is on modeling business-related scenarios and the generation of decision alternatives. Fully solved examples from many areas are used to illustrate the main concepts without getting bogged down in technical details. The book presents an approach to operations research that is heavily  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Eiselt, H.A.
Operations research.
New York : Springer, 2010
(DLC) 2010925338
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: H A Eiselt; C -L Sandblom
ISBN: 9783642103261 364210326X 3642103251 9783642103254
OCLC Number: 649907939
Description: 1 online resource (xii, 447 pages) : illustrations
Contents: 1. Introduction to Operations Research --
2. Linear Programming --
3. Multiobjective Programming --
4. Integer Programming --
5. Network Models --
6. Location Models --
7. Project Networks --
8. Machine Scheduling --
9. Decision Analysis --
10. Inventory Models --
11. Stochastic Processes and Markov Chains --
12. Waiting Line Models --
13 Simulation --
Appendix A. Heuristic Algorithms --
Appendix B. Vectors and Matrices --
Appendix C. Systems of Simultaneous Linear Equations --
Appendix D. Probability and Statistics.
Responsibility: H.A. Eiselt, C.-L. Sandblom.

Abstract:

This book covers the standard models and techniques used in decision making in organizations. The main emphasis of the book is on modeling business-related scenarios and the generation of decision  Read more...

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From the reviews: "This course resource by Eiselt ... is an introduction to operations research at the undergraduate level. The book introduces a wide variety of deterministic and stochastic Read more...

 
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