Operations Research: A Model-Based Approach
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.
1139944739
Operations Research: A Model-Based Approach
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.
41.49 In Stock
Operations Research: A Model-Based Approach

Operations Research: A Model-Based Approach

Operations Research: A Model-Based Approach

Operations Research: A Model-Based Approach

eBook3rd ed. 2022 (3rd ed. 2022)

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Overview

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.

Product Details

ISBN-13: 9783030971625
Publisher: Springer-Verlag New York, LLC
Publication date: 06/16/2022
Series: Springer Texts in Business and Economics
Sold by: Barnes & Noble
Format: eBook
File size: 26 MB
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About the Author

Dr. H.A. Eiselt is a Professor of Business Administration at the University of New Brunswick (Canada) and an Adjunct Professor with the Department of Industrial Engineering at Dalhousie University (Canada). He is an Associate Editor and Book Review Editor of INFOR. Dr. Eiselt is also a member of the Advisory or Editorial Boards of Computers&Operations Research, and the International Journal of Operations and Quantitative Management. His main research interests are in various aspects of location analysis and decision theory. He has (co-) authored over 120 research articles and written and edited twelve books.

Dr. C-L. Sandblom is an Adjunct and Emeritus Professor of Industrial Engineering at Dalhousie University (Canada). He holds a Ph.D. from the University of Birmingham (UK). Prior to joining Dalhousie, he taught at the Universities of Lund (Sweden), Birmingham (UK) and Concordia University (Canada). Dr. Sandblom has published over 50 research papers and eight books

Table of Contents

to Operations Research.- Linear Programming.- Multiobjective Programming.- Integer Programming.- Network Models.- Location Models.- Project Networks.- Machine Scheduling.- Decision Analysis.- Inventory Models.- Stochastic Processes and Markov Chains.- Waiting Line Models.- Simulation.
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