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Introduction to operations research

By: Hillier, Frederick S [Author] | Lieberman, Gerald J [Co-Author] | Nag, Bodhibrata [Co-Author] | Basu, Preetam [Co-Author]Language: English Publication details: New Delhi: McGraw Hill Education Private Limited, 2022. Edition: 11th edDescription: xxviii, 1416p.;23cmsISBN: 9789354601200Subject(s): Introduction to linear programming | Duality theory | Network optimization modelsDDC classification: 658.4034 H55, 11
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Books Books Dr. S. R. Ranganathan Library
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658.4034 H55, 11 (Browse shelf(Opens below)) 1 Available 3579
Books Books Dr. S. R. Ranganathan Library
General Stacks
658.4034 H55, 11:1 (Browse shelf(Opens below)) 2 Available 3580
Books Books Dr. S. R. Ranganathan Library
General Stacks
658.4034 H55, 11:2 (Browse shelf(Opens below)) 3 Available 3581
Books Books Dr. S. R. Ranganathan Library
General Stacks
658.4034 H55, 11:3 (Browse shelf(Opens below)) 4 Available 3582
Textbook Dr. S. R. Ranganathan Library
Textbook
Text Book 658.4034 H55, 11:4 (Browse shelf(Opens below)) 5 Not For Loan 3583

For over four decades, Introduction to Operations Research has been the classic text on operations research. While building on the classic strengths of the text, the author continues to find new ways to make the text current and relevant to students. One way is by incorporating a wealth of state-of-the art, user-friendly software and more coverage of business applications than ever before. The hallmark features of this edition include new section and chapters, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and Indian cases, and state-of-the-practice operations research software used in conjunction with examples from the text.

Key Features

• Four new sections describe analytics as a key new complement to operations research
• A new section provides an elementary introduction to one of the most widely used techniques of operations research, that is, the theory of simulation optimization.
• A new section describes how decision analysis now is being widely extended to multiple criteria decision analysis to understand how multiple criteria can be considered in operations research studies
• India-centric case studies on applications of linear and integer programming, revenue management techniques, transportation problem, traveling salesman problem, vehicle routing problem, facility location, genetic algorithms, simulation, decision analysis and inventory management
• Coverage of Revenue Optimization, Analytic Hierarchy Process, Multi-objective Decision Making techniques, Data Envelopment Analysis, AMPL and R software for optimization and AnyLogic simulation software
• Vignettes covering real life and industrial applications of various operations research tools and techniques


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