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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 based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors.The second edition adds new material on multicriteria optimization, postman problems, Lagrangian relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.




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 based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors. The second edition adds new material on multicriteria optimization, postman problems, Lagrangean relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.


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 based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors. The second edition adds new material on multicriteria optimization, postman problems, Lagrangean relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.
Content:
Front Matter....Pages i-xiii
Introduction to Operations Research....Pages 1-11
Linear Programming....Pages 13-104
Multiobjective Programming....Pages 105-122
Integer Programming....Pages 123-173
Network Models....Pages 175-219
Location Models....Pages 221-255
Project Networks....Pages 257-282
Machine Scheduling....Pages 283-302
Decision Analysis....Pages 303-331
Multicriteria Decision Making....Pages 333-342
Inventory Models....Pages 343-367
Stochastic Processes and Markov Chains....Pages 369-380
Waiting Line Models....Pages 381-395
Simulation....Pages 397-415
Back Matter....Pages 417-446


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 based on modeling and makes extensive use of sensitivity analyses. It is a result of many years of combined teaching experience of the authors. The second edition adds new material on multicriteria optimization, postman problems, Lagrangean relaxation, cutting planes, machine scheduling, and Markov chains. Support material is found on a free website and includes some algorithms, additional fully solved problems and slides for instructors.
Content:
Front Matter....Pages i-xiii
Introduction to Operations Research....Pages 1-11
Linear Programming....Pages 13-104
Multiobjective Programming....Pages 105-122
Integer Programming....Pages 123-173
Network Models....Pages 175-219
Location Models....Pages 221-255
Project Networks....Pages 257-282
Machine Scheduling....Pages 283-302
Decision Analysis....Pages 303-331
Multicriteria Decision Making....Pages 333-342
Inventory Models....Pages 343-367
Stochastic Processes and Markov Chains....Pages 369-380
Waiting Line Models....Pages 381-395
Simulation....Pages 397-415
Back Matter....Pages 417-446
....
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