"Introduction to Operations Research 1" Webpage

Introduction to Operations Research 1 - Class Notes
From Operations Research: A Introduction Tenth Edition, by Hamdy Taha (Pearson, 2016) Taha's Operations Research: An Introduction book, 10th edition

Taha's Operations Research: An Introduction book, 10th edition

Copies of the classnotes are on the internet in PDF format as given below. The notes and supplements may contain hyperlinks to posted webpages; the links appear in red fonts. These notes have not been classroom tested and may have typographical errors.

"Introduction to Operations Research 1" (MATH 4587/5587) is no longer a formal ETSU class. Such a class existed until the late 1990s (it was titled "Operations Research 1"). The catalog description for that class was: "Topics in linear programming; transportation and transshipment problems, branch and bound techniques, and mixed integer programming." This is from the 1989-90 catalog. The prerequisites were Linear Algebra (MATH 2010), Calculus 3 (MATH 2110), and one upper division course in statistics. ETSU now has a graduate sequence in operations research (Operations Research 1 and 2, MATH 5810 and 5820). These notes are meant to be introductory and for self-study.

Chapter 1. What is Operations Research? Chapter 1 Introduction notes
Chapter 2. Modeling with Linear Programming.
Chapter 3. The Simplex Method and Sensitivity Analysis.
Chapter 4. Duality and Post-Optimal Analysis.
Chapter 5. Transportation Model and Its Variants.
Chapter 6. Network Models.
- Section 6.1. Scope and Definition of Network Models. Section 6.1 notes
- Section 6.2. Minimal Spanning Tree Algorithm. Section 6.2 notes
- Section 6.3. Shortest-Route Problem.
- Section 6.4. Maxmimal Flow Model.
- Section 6.5. CPM and Pert.
Chapter 7. Advanced Linear Programming.
Chapter 8. Goal Programming.
Chapter 9. Integer Linear Programming.
Chapter 10. Goal Programming.
Chapter 11. Traveling Salesperson Problem (TSP).
Chapter 12. Deterministic Dynamic Programming.
Chapter 13. Inventory Modeling (with Introduction to Supply Chains).
Chapter 14. Review of Basic Probability.
Chapter 15. Decision Analysis and Games.
Chapter 16. Probabilistic Inventory Models.
Chapter 17. Markov Chains.
Chapter 18. Queing Systems.
Chapter 19. Simulation Modeling.
Chapter 20. Classical Optimization Theory.
Chapter 21. Nonlinear Programming Algorithms.

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