Operations Research A Model-Based Approach
Operations Research A Model-Based Approach 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 also 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 based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors.
Operations Research A Model-Based Approach adds new material on multi-criteria optimization, postman problems, Lagrangian relaxation, cutting planes, machine scheduling, and also Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and also slides for instructors.
You can also Read Case Studies in Operations Research 2015th Edition
Operations Research A Model-Based Approach Content
- Introduction to Operations Research
![Operations Research A Model]()
- Linear Programming
- Multiobjective Programming
- Integer Programming
- Network Models
- Location Models
- Project Networks
- Machine Scheduling
- Decision Analysis
- Multicriteria Decision Making
- Inventory Models
- Stochastic Processes and Markov Chains
- Waiting Line Models
- Simulation
- A: Heuristic Algorithms
- B: Vectors and Matrices
- C: Systems of Simultaneous Linear Equations
- D: Probability and Statistics
- Bibliography
- Index
Product details
- Series: Springer Texts in Business and Economics
- Paperback: 446 pages
- Publisher: Springer; 2nd ed. 2013 edition (December 14, 2012)
- Language: English
- ISBN-10: 3642310532
- ISBN-13: 978-3642310539
- Product Dimensions: 6.1 x 1 x 9.2 inches
- Shipping Weight: 1.4 pounds
Operations Research A Model-Based Approach designed for (typically second year) students of business management and also industrial engineering. With the appropriate deletions, the material can be used for a one-semester course in the subject, while the complete material will be sufficient for a full-year course. The reasoning and explanations are intuitive throughout. Each algorithm followed by a numerical example that shows in detail how the method progresses. After presenting the applications and the techniques, each chapter ends with a number of fully solved examples that review the concepts covered in the chapter.
Comments are closed.