Partial book profile
Operations Research Problems Statements and Solutions
Raúl Poler, Josefa Mula etc.
This textbook provides a comprehensive collection of Operations Research problems and their step-by-step solutions to help students and practitioners master key quantitative decision-making techniques.
The full book profile is not available yet.
What it’s about
Struggling to apply theoretical Operations Research concepts to real-world scenarios? *Operations Research Problems* is your essential guide, offering a vast compendium of problems with detailed, worked-out solutions. Covering ten core topics from linear programming and network modeling to decision theory and Markov processes, this advanced textbook is designed for M.Eng. or MBA level students, faculty, and practitioners. Each chapter provides a concise overview of the topic, followed by a substantial number of real-world application problems inspired by the authors' research and teaching experience. Whether you're preparing for an exam, developing assignments, or seeking a practical guide to model formulation, this book provides the hands-on practice needed to master management science and improve decision-making in any organization.
The through-line
- Who it’s for
- An undergraduate or postgraduate student (M.Eng, MBA) in industrial engineering or business administration, or a practitioner of operations research, who wants to master the application of quantitative methods to solve complex decision-making problems.
- The problem
- They need to solve complex Operations Research problems for assignments, exams, or real-world applications, but struggle to bridge the gap between abstract theory and practical problem formulation. They feel uncertain and unprepared when faced with a new problem, lacking the confidence to translate a word problem into a mathematical model and execute the correct solution algorithm.
- The plan
- Read the introductory overview of each topic to refresh theoretical understanding.
- Study the problem statements, which are based on real-world management and engineering scenarios.
- Work through the concise, step-by-step solutions provided for each problem.
- The payoff
- Gain the confidence and competence to model and solve a wide variety of operations research problems. · Excel in courses, pass exams, and be prepared for careers that require quantitative decision-making skills. · Become a proficient practitioner capable of improving organizational decision-making and creating tangible value.
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