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

Author: Gerald J. Lieberman

Brand: McGraw-Hill Education

Binding: paperback

Number Of Pages: 944

Release Date: 12-07-2025

Details: 📘 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
1️⃣ Introduction 2️⃣ Overview of How Operations Research and Analytics Professionals Analyze Problems 3️⃣ Introduction to Linear Programming 4️⃣ Solving Linear Programming Problems: The Simplex Method 5️⃣ The Theory of the Simplex Method 6️⃣ Duality Theory 7️⃣ Linear Programming under Uncertainty 8️⃣ Other Algorithms for Linear Programming 9️⃣ The Transportation and Assignment Problems 🔟 Network Optimization Models 1️⃣1️⃣ Dynamic Programming 1️⃣2️⃣ Integer Programming 1️⃣3️⃣ Nonlinear Programming 1️⃣4️⃣ Metaheuristics 1️⃣5️⃣ Game Theory 1️⃣6️⃣ Decision Analysis 1️⃣7️⃣ Queueing Theory 1️⃣8️⃣ Inventory Theory and Revenue Management (Online) 1️⃣9️⃣ Markov Decision Processes 2️⃣0️⃣ Simulation 2️⃣1️⃣ The Art of Modeling with Spreadsheets (Online) 2️⃣2️⃣ Project Management with PERT/CPM (Online) 2️⃣3️⃣ Additional Special Types of Linear Programming Problems (Online) 2️⃣4️⃣ Probability Theory (Online) 2️⃣5️⃣ Reliability (Online) 2️⃣6️⃣ The Application of Queueing Theory (Online) 2️⃣7️⃣ Forecasting (Online) 2️⃣8️⃣ Markov Chains (Online)

EAN: 9789364444507

Package Dimensions: 10.5 x 8.0 x 1.5 inches

Languages: English