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The objective of this book is to provide a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and management science. These problems can serve as a basis for the development or study of assignments and exams. Also, they can be useful as a guide for the first stage of the model formulation, i.e. the definition of a problem. The book is divided into 11 chapters that address the following topics: Linear programming, integer programming, non linear programming, network modeling, inventory theory, queue theory, tree decision, game theory, dynamic programming and markov processes. Readers are going to find a considerable number of statements of operations research applications for management decision-making. The solutions of these problems are provided in a concise way although all topics start with a more developed resolution. The proposed problems are based on the research experience of the authors in real-world companies so much as on the teaching experience of the authors in order to develop exam problems for industrial engineering and business administration studies.
This book presents a comprehensive collection of operations research problems and their solutions, designed to aid students and professionals in management science and operations research. The authors, drawing from extensive research and teaching experience, offer a valuable resource for understanding and formulating operations research models. The problems are grounded in real-world applications and are structured to support the development of assignments, exams, and the initial stages of model building.
The book is positioned as a practical compendium for students and professionals in operations research and management science. Its structure, offering both problem statements and solutions derived from real-world and academic contexts, suggests it serves as a valuable tool for learning, teaching, and practical application. The broad coverage of key operations research topics indicates its utility as a reference for model formulation and problem-solving exercises.
Page Count:
424
Publication Date:
2013-11-27
Publisher:
Springer London
ISBN-10:
1447155785
ISBN-13:
9781447155782
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