Description

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 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 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, making it an invaluable resource for learners.

Key Features:

• Emphasis on Real Applications: Realistic examples and cases, plus many applications vignettes covering real life and industrial applications of various operations research tools and techniques.
• New topical coverage on the emerging need areas like sustainability, How AI is transforming Operations Research, Using Python for linear programming, Manufacturing scheduling models, Supply chain network design models, Large-scale optimization etc.
• 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.