Introduction to Operations Research | 12 Edition | Frederick S. Hillier, Gerald J. Lieberman, Bodhibrata Nag and Preetam Basu

?? About the Book / Overview Introduction to Operations Research is 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 book current and relevant to students. One way is by incorporating a wealth of state-of-the-art, user-friendly software and providing more coverage of business applications than ever before. The hallmark features of this edition include new sections, updated problems, clear and comprehensive coverage of fundamentals, an extensive set of interesting problems and Indian cases, and practical examples that integrate advanced operations research software, making it an invaluable resource for learners. Additionally, it highlights real-world applications such as sustainability, AI’s role in operations research, Python for linear programming, supply chain network design, and tools like linear and integer programming, revenue management, and transportation problems. ? Salient Features ?? Emphasis on Real Applications: Realistic examples and cases, plus many application vignettes covering real-life and industrial applications of various operations research tools and techniques. ?? New topical coverage on emerging areas like sustainability, AI in Operations Research, Python for linear programming, manufacturing scheduling models, supply chain network design models, and large-scale optimization. ?? 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. ?? Web Supplements Instructor Resources: A wealth of information is available online through McGraw-Hill’s Connect platform at: https://connect.mheducation.com ?? PowerPoint Presentations ?? Solution Manual ??? Image Library Student Resources: ?? Glossary ?? Data Files ?? IOR Tutorials ?? Student versions of LINDO (traditional optimizer) and LINGO (popular modeling language) ?? Student versions of AMPL and Gurobi ?? Table of Contents 1?? Introduction 2?? Overview of How Operations Research and Analytics Professionals Analyze Problems 3?? Introduction to Linear Programming 4?? Solving Linear Programming Problems: The Simplex Method 5?? The Theory of the Simplex Method 6?? Duality Theory 7?? Linear Programming under Uncertainty 8?? Other Algorithms for Linear Programming 9?? The Transportation and Assignment Problems ?? Network Optimization Models 1??1?? Dynamic Programming 1??2?? Integer Programming 1??3?? Nonlinear Programming 1??4?? Metaheuristics 1??5?? Game Theory 1??6?? Decision Analysis 1??7?? Queueing Theory 1??8?? Inventory Theory and Revenue Management (Online) 1??9?? Markov Decision Processes 2??0?? Simulation 2??1?? The Art of Modeling with Spreadsheets (Online) 2??2?? Project Management with PERT/CPM (Online) 2??3?? Additional Special Types of Linear Programming Problems (Online) 2??4?? Probability Theory (Online) 2??5?? Reliability (Online) 2??6?? The Application of Queueing Theory (Online) 2??7?? Forecasting (Online) 2??8?? Markov Chains (Online) Read more