Operations Research

1. Front Matter

   Pages i-xii

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2. Introduction to Operations Research

   • H. A. Eiselt, C. -L. Sandblom

   Pages 1-12

3. Linear Programming

   • H. A. Eiselt, C. -L. Sandblom

   Pages 13-114

4. Multiobjective Programming

   • H. A. Eiselt, C. -L. Sandblom

   Pages 115-134

5. Integer Programming

   • H. A. Eiselt, C. -L. Sandblom

   Pages 135-176

6. Network Models

   • H. A. Eiselt, C. -L. Sandblom

   Pages 177-215

7. Location Models

   • H. A. Eiselt, C. -L. Sandblom

   Pages 217-256

8. Project Networks

   • H. A. Eiselt, C. -L. Sandblom

   Pages 257-286

9. Machine Scheduling

   • H. A. Eiselt, C. -L. Sandblom

   Pages 287-304

10. Decision Analysis

    • H. A. Eiselt, C. -L. Sandblom

    Pages 305-337

11. Inventory Models

    • H. A. Eiselt, C. -L. Sandblom

    Pages 339-366

12. Stochastic Processes and Markov Chains

    • H. A. Eiselt, C. -L. Sandblom

    Pages 367-378

13. Waiting Line Models

    • H. A. Eiselt, C. -L. Sandblom

    Pages 379-394

14. Simulation

    • H. A. Eiselt, C. -L. Sandblom

    Pages 395-416

15. Back Matter

    Pages 417-447

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Since the 1960s, operations research (or, alternatively, management science) has become an indispensable tool in scientific management. In simple words, its goal on the strategic and tactical levels is to aid in decision making and, on the operational level, automate decision making. Its tools are algorithms, procedures that create and improve solutions to a point at which optimal or, at least, satisfactory solutions have been found. While many texts on the subject emphasize methods, the special focus of this book is on the applications of operations research in practice. Typically, a topic is introduced by means of a description of its applications, a model is formulated and its solution is presented. Then the solution is discussed and its implications for decision making are outlined. We have attempted to maximize the understanding of the topics by using intuitive reasoning while keeping mathematical notation and the description of techniques to a minimum. The exercises are designed to fully explore the material covered in the chapters, without resorting to mind-numbing repetitions and trivialization.

• Industrial Engineering
• Management Science
• Operations Research
• Optimization
• Quantitative Methods
• modeling
• organization
• Engineering Economics

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 operations research models, including linear and integer programming, network flows, facility location problems, machine scheduling problems, inventory models, queuing models, and discrete event simulation models. … Summing Up: Recommended. Business and industrial engineering collections serving upper-division undergraduates.” (B. Borchers, Choice, Vol. 48 (3), November, 2010)

“The book gives an overview of the operations research models applied in many practical problems. … The book is a great contribution to the OR models’ application and can be a significant help to the decision makers.”­­­ (Kristina Šorić, Zentralblatt MATH, Vol. 1198, 2010)

• Faculty of Business Administration, University of New Brunswick, Fredericton, Canada

  H. A. Eiselt

• Dept. Industrial Engineering, Dalhousie University, Halifax, Canada

  Carl-Louis Sandblom

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