Operations Research von H. A. Eiselt | A Model-Based Approach | ISBN 9783642103261

Operations Research

A Model-Based Approach

von H. A. Eiselt und Carl-Louis Sandblom
Mitwirkende
Autor / AutorinH. A. Eiselt
Autor / AutorinCarl-Louis Sandblom
Buchcover Operations Research | H. A. Eiselt | EAN 9783642103261 | ISBN 3-642-10326-X | ISBN 978-3-642-10326-1

From the reviews:

“This course resource by Eiselt … is an introduction to operations research at the undergraduate level. The book introduces a wide variety of deterministic and stochastic operations research models, including linear and integer programming, network flows, facility location problems, machine scheduling problems, inventory models, queuing models, and discrete event simulation models. … Summing Up: Recommended. Business and industrial engineering collections serving upper-division undergraduates.” (B. Borchers, Choice, Vol. 48 (3), November, 2010)

“The book gives an overview of the operations research models applied in many practical problems. … The book is a great contribution to the OR models’ application and can be a significant help to the decision makers.” (Kristina Šorić, Zentralblatt MATH, Vol. 1198, 2010)

Operations Research

A Model-Based Approach

von H. A. Eiselt und Carl-Louis Sandblom
Mitwirkende
Autor / AutorinH. A. Eiselt
Autor / AutorinCarl-Louis Sandblom
Since the 1960s, operations research (or, alternatively, management science) has become an indispensable tool in scientific management. In simple words, its goal on the strategic and tactical levels is to aid in decision making and, on the operational level, automate decision making. Its tools are algorithms, procedures that create and improve solutions to a point at which optimal or, at least, satisfactory solutions have been found. While many texts on the subject emphasize methods, the special focus of this book is on the applications of operations research in practice. Typically, a topic is introduced by means of a description of its applications, a model is formulated and its solution is presented. Then the solution is discussed and its implications for decision making are outlined. We have attempted to maximize the understanding of the topics by using intuitive reasoning while keeping mathematical notation and the description of techniques to a minimum. The exercises are designed to fully explore the material covered in the chapters, without resorting to mind-numbing repetitions and trivialization.