000			03994nam a22002417a 4500
999			_c1368 _d1368
003			OSt
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008			180518b xxu||||| |||| 00| 0 eng d
028			_bAllied Informatics, Jaipur _c4856 _d09/05/2018 _q2018-19
040			_aBSDU _bEnglish _cBSDU
082			_a658.4034 _bTAH
100			_aTaha, Hamdy A
245			_aOperation Research : An Introduction
250			_b9th
260			_aNew Delhi _bPearson Education _c2014
300			_a816
500			_aOperations Research provides a broad focus on algorithmic and practical implementation of Operations Research (OR) techniques, using theory, applications, and computations to teach students OR basics. The book can be used conveniently in a survey course that encompasses all the major tools of operations research, or in two separate courses on deterministic and probabilistic decision-making. With the Tenth Edition, the author preserves classical algorithms by providing essential hand computational algorithms as an important part of OR history. Based on input and submissions from OR students, professors, and practitioners, the author also includes scenarios that show how classical algorithms can be beneficial in practice. These entries are included as Aha! Moments with each dealing with stories, anecdotes, and issues in OR theory, applications, computations, and teaching methodology that can advance the understanding of fundamental OR concepts. The Companion Website for Operations Research, 10/e (www.pearsonhighered.com/taha) provides valuable resources for both students and instructors. Resources include case studies that require students to employ OR tools from multiple chapters, Excel, TORA, and AMPL files as well as additional chapters and appendixes. A note about accessing the Companion Website: Instructors should click the “Register” link and follow the on-screen directions to access the site. Instructors need a Pearson Education account to register, but do not require an additional Access Code. Students can access the Companion Website by redeeming the Access Code included in the front of their new copy of Operations Research, 10/e. Students can also purchase Companion Website access online.
504			_aTable of Contents 1. What Is Operations Research? 2. Modeling with Linear Programming 3. The Simplex Method and Sensitivity Analysis 4. Duality and Post-Optimal Analysis 5. Transportation Model and Its Variants 6. Network Models 7. Advanced Linear Programming 8. Goal Programming 9. Integer Linear Programming 10. Heuristic and Constraint Programming 11. Traveling Salesperson Problem (TSP) 12. Deterministic Dynamic Programming 13. Inventory Modeling (with Introduction to Supply Chains) 14. Review of Basic Probability 15. Decision Analysis and Games 16. Probabilistic Inventory Models 17. Markov Chains 18. Queuing Systems 19. Simulation Modeling 20. Classical Optimization Theory 21. Nonlinear Programming Algorithms
520			_aTable of Contents 1. What Is Operations Research? 2. Modeling with Linear Programming 3. The Simplex Method and Sensitivity Analysis 4. Duality and Post-Optimal Analysis 5. Transportation Model and Its Variants 6. Network Models 7. Advanced Linear Programming 8. Goal Programming 9. Integer Linear Programming 10. Heuristic and Constraint Programming 11. Traveling Salesperson Problem (TSP) 12. Deterministic Dynamic Programming 13. Inventory Modeling (with Introduction to Supply Chains) 14. Review of Basic Probability 15. Decision Analysis and Games 16. Probabilistic Inventory Models 17. Markov Chains 18. Queuing Systems 19. Simulation Modeling 20. Classical Optimization Theory 21. Nonlinear Programming Algorithms
650			_aManagement
650			_aResearch
942			_2ddc _cBK