For junior/senior undergraduate and first-year graduate courses in Operations Research in departments of Industrial Engineering, Business Administration, Statistics, Computer Science, and Mathematics. Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.
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Major revision is designed to meet the needs of beginning through advanced students with an emphasis placed on the formulation and applications aspects. Provides balanced coverage of theory, applications and computations of operations research techniques. Numerical examples are main vehicle for explaining new ideas with each numeric example followed by a set of problems. TORA and SIMNET software included in text. More than 1,000 problems.
This seventh edition continues to build on the strength of the first six editions, providing balanced coverage of the theory, applications, and computations of operations research. Complex mathematical concepts are effectively explained by means of carefully designed numerical examples, essentially eliminating the need for the usually obscure formal mathematical proofs. The book includes fully analyzed practical situations and each chapter concludes with summary applications borrowed from published case studies. The role of modern computational tools in enhancing the effectiveness of operations research as a decision-making tool receives considerable attention in this new edition.
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