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Partial book profile

Operations Research and Management Science Handbook (The Operations Research Series)

A. Ravi Ravindran

A comprehensive, single-volume handbook providing a complete overview of Operations Research and Management Science models, methods, and their practical applications across various industries.

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What it’s about

The Operations Research and Management Science Handbook is the essential, all-in-one resource for practitioners, researchers, and students seeking to apply quantitative analysis to complex management problems. This comprehensive guide covers the full spectrum of OR/MS, from fundamental models like linear programming, network optimization, and simulation, to their successful application in diverse fields such as airline optimization, financial engineering, and supply chain management. Designed with non-experts in mind, each chapter offers a concise yet thorough overview of a topic, bridging the gap between theory and practice by illustrating solution methods, discussing real-world applications, and providing references to available computer software. Whether you're facing a tough decision problem or looking for a unified, up-to-date reference, this handbook provides the scientific foundation to make more objective, effective, and data-driven decisions.

The through-line

Who it’s for
The reader is a practitioner, manager, researcher, or student who faces complex decision-making problems in business, industry, government, or academia. They want to find better, more effective, and scientifically-grounded solutions for challenges related to planning, resource allocation, and system optimization.
The problem
The reader needs to solve complex management problems but lacks a single, authoritative, and comprehensive guide that covers the wide range of quantitative models and methods required. They often waste time searching for fragmented information and struggle to connect abstract theories to practical applications. The reader feels overwhelmed by the complexity and uncertainty of the decisions they must make. They lack confidence in relying purely on intuition and desire a more rigorous, objective approach but are unsure where to start or which tools to use.
The plan
  1. Consult Part I to gain a solid understanding of the fundamental OR/MS models and methods, such as linear programming, simulation, and decision analysis.
  2. Explore Part II to see how these powerful techniques are applied to solve problems in your specific area of interest, from airlines to water resources.
  3. Use the practical examples and software references in each chapter to begin applying these methods to your own challenges.
The payoff
The reader becomes a confident and highly effective decision-maker, capable of tackling complex problems with scientific rigor. · They can identify and apply the correct quantitative tools to optimize performance, improve efficiency, and reduce costs. · Their organization benefits from more objective, data-driven decisions that lead to superior outcomes and a competitive advantage.

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