Operations Research Problems: Statements and Solutions
Operations Research Problems Statements and Solutions provide readers a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and also management science. These problems can serve as a basis for the development or study of assignments and also 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 chapters address the following topics:
Linear programming,
Integer programming,
Nonlinear programming,
Network modelling,
Inventory theory,
Queueing theory,
Tree decision,
Games theory,
Dynamic programming and
Markov processes.
The definition of a problem. The book is divided into 10 chapters that address the following topics: Linear programming, integer programming, nonlinear programming, network modelling, inventory theory, queueing theory, decision theory, games theory, dynamic programming and also markov processes. Readers are going to find a considerable number of statements of operations research applications for management decision-making.Also,The solutions of these problems are provided in a concise way although all topics start with a more developed overview.
Operations Research Problems Statements and Solutions Product details
- Hardcover: 424 pages
- Publisher: Springer; 2014 edition (November 8, 2013)
- Language: English
- ISBN-10: 1447155769
- ISBN-13: 978-1447155768
- Product Dimensions: 6.1 x 1 x 9.2 inches
- Shipping Weight: 1.4 pounds
The objective of Operations Research Problems: Statements and Solutions is to provide a valuable compendium of problems as a reference for undergraduate and graduate students, faculty, researchers and practitioners of operations research and also 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.
You can also Read Stochastic Optimization Methods: Applications in Engineering and Operations Research
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.
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