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 offers a compendium of problems in operations research, in such areas as linear programming, integer programming, non-linear programming, network modeling, inventory theory, queue theory, tree decision, dynamic programming, Markov processes and more.
Linear programming.- Integer programming.- Non-linear programming.- Network Modelling.- Inventory theory.- Queuing theory.- Decision theory.- Game theory.- Dynamic programming.- Markov processes.
From the reviews:
This book has ten chapters, with each chapter devoted to a specific topic in OR & . Each chapter starts with an introduction that gives a brief overview of the theory and process involved in solving the given type of problem. & A goodl#Ý
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