Applications of Operational Research and Mathematical Models in Management

Applications of Operational Research and Mathematical Models in Management

Author: Miltiadis Chalikias

Publisher: MDPI

Published: 2020-11-17

Total Pages: 182

ISBN-13: 3039433806

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This book, Applications of Operational Research and Mathematical Models in Management, includes all the papers published in the Mathematics Special Issue with the same title. All the published papers are of high quality and were subjected to rigorous peer review. Mathematics is included in the Science Citation Index (Web of Science), and its current Impact Factor is 1.747. The papers in this book deal with on R&D performance models, methods for ranking the perspectives and indicators of a balance scorecard, robust optimization model applications, integrated production and distribution problem solving, demand functions, supply chain games, probabilistic optimization and profit research, coordinated techniques for order preference, robustness approaches in bank capital optimization, and hybrid methods for tourism demand forecasting. All the papers included contribute to the development of research.


Applications of Operational Research and Mathematical Models in Management

Applications of Operational Research and Mathematical Models in Management

Author: Miltiadis Chalikias

Publisher:

Published: 2020

Total Pages: 182

ISBN-13: 9783039433810

DOWNLOAD EBOOK

This book, Applications of Operational Research and Mathematical Models in Management, includes all the papers published in the Mathematics Special Issue with the same title. All the published papers are of high quality and were subjected to rigorous peer review. Mathematics is included in the Science Citation Index (Web of Science), and its current Impact Factor is 1.747. The papers in this book deal with on R&D performance models, methods for ranking the perspectives and indicators of a balance scorecard, robust optimization model applications, integrated production and distribution problem solving, demand functions, supply chain games, probabilistic optimization and profit research, coordinated techniques for order preference, robustness approaches in bank capital optimization, and hybrid methods for tourism demand forecasting. All the papers included contribute to the development of research.


Applications of Operations Research and Management Science for Military Decision Making

Applications of Operations Research and Management Science for Military Decision Making

Author: William P. Fox

Publisher: Springer Nature

Published: 2019-08-28

Total Pages: 498

ISBN-13: 303020569X

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Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book. The book focuses on the model formulation and modeling building skills, as well as the technology to support decision analysis. The authors cover many of the main techniques that have been incorporated into their three-course sequence in mathematical modeling for decision making in the Department of Defense Analysis at the Naval Postgraduate School. The primary objective of this book is illustrative in nature. It begins with an introduction to mathematical modeling and a process for formally thinking about difficult problems, illustrating many scenarios and illustrative examples. The book incorporates the necessary mathematical foundations for solving these problems with military applications and related military processes to reinforce the applied nature of the mathematical modeling process.


Modeling and Applications in Operations Research

Modeling and Applications in Operations Research

Author: Jyotiranjan Nayak

Publisher:

Published: 2023

Total Pages: 0

ISBN-13: 9781003462422

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The text envisages novel optimization methods that significantly impact real-life problems, starting from inventory control to economic decision-making. It discusses topics such as inventory control, queueing models, timetable scheduling, fuzzy optimization, and the Knapsack problem. The book's content encompass thefollowing key aspects: Presents a new model based on an unreliable server, wherein the convergence analysis is done using nature-inspired algorithms. Discusses the optimization techniques used in transportation problems, timetable problems, and optimal/dynamic pricing in inventory control. Highlights single and multi-objective optimization problems using pentagonal fuzzy numbers. Illustrates profit maximization inventory model for non-instantaneous deteriorating items with imprecise costs. Showcases nature-inspired algorithms such as particle swarm optimization, genetic algorithm, bat algorithm, and cuckoo search algorithm. The text covers multi-disciplinary real-time problems such as fuzzy optimization of transportation problems, inventory control with dynamic pricing, timetable problem with ant colony optimization, knapsack problem, queueing modeling using the nature-inspired algorithm, and multi-objective fuzzy linear programming. It showcases a comparative analysis for studying various combinations of system design parameters and default cost elements. It will serve as an ideal reference text for graduate students and academic researchers in the fields of industrial engineering, manufacturing engineering, production engineering, mechanical engineering, and mathematics.


Operations Research

Operations Research

Author: H. A. Eiselt

Publisher: Springer Science & Business Media

Published: 2010-05-17

Total Pages: 455

ISBN-13: 364210326X

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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.


Operations Research Models and Methods

Operations Research Models and Methods

Author: Paul A. Jensen

Publisher: John Wiley & Sons

Published: 2002-10-08

Total Pages: 708

ISBN-13: 0471380040

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In a rapidly developing field like Operations Research, its easy to get overwhelmed by the variety of topics and analytic techniques. Paul Jensen and Jonathan Bard help you master the expensive field by focusing on the fundamental models and methodologies underlying the practice of Operations Research. Bridging the gap between theory and practice, the author presents the quantitative tools and models most important to understanding modern operations research. You'll come to appreciate the power of OR techniques in solving real-world problems and applications in your own field. You'll learn how to translate complex situations into mathematical models, solve models and turn models into solutions. This text is designed to bridge the gap between theory and practice by presenting the quantitative tools and models most suited for modern operations research. The principal goal is to give analysts, engineers, and decision makers a larger appreciation of their roles by defining a common terminology and by explaining the interfaces between the underlying methodologies. Features Divides each subject into methods and models, giving you greater flexibility in how you approach the material. Concise and focused presentation highlights central ideas. Many examples throughout the text will help you better understand mathematical material.


Operations Research

Operations Research

Author: Michael W. Carter

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 414

ISBN-13: 1351990632

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Students with diverse backgrounds will face a multitude of decisions in a variety of engineering, scientific, industrial, and financial settings. They will need to know how to identify problems that the methods of operations research (OR) can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop computational tools to solve the problems. Perfect for any one-semester course in OR, Operations Research: A Practical Introduction answers all of these needs. In addition to providing a practical introduction and guide to using OR techniques, it includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations. It provides a sound introduction to the mathematical models relevant to OR and illustrates the effective use of OR techniques with examples drawn from industrial, computing, engineering, and business applications Many students will take only one course in the techniques of Operations Research. Operations Research: A Practical Introduction offers them the greatest benefit from that course through a broad survey of the techniques and tools available for quantitative decision making. It will also encourage other students to pursue more advanced studies and provides you a concise, well-structured, vehicle for delivering the best possible overview of the discipline.


Operations Research: Algorithms And Applications

Operations Research: Algorithms And Applications

Author: Rathindra P. Sen

Publisher: PHI Learning Pvt. Ltd.

Published: 2010-01-30

Total Pages: 801

ISBN-13: 8120339304

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It covers all the relevant topics along with the recent developments in the field. The book begins with an overview of operations research and then discusses the simplex method of optimization and duality concept along with the deterministic models such as post-optimality analysis, transportation and assignment models. While covering hybrid models of operations research, the book elaborates PERT (Programme Evaluation and Review Technique), CPM (Critical Path Method), dynamic programming, inventory control models, simulation techniques and their applications in mathematical modelling and computer programming. It explains the decision theory, game theory, queueing theory, sequencing models, replacement and reliability problems, information theory and Markov processes which are related to stochastic models. Finally, this well-organized book describes advanced deterministic models that include goal programming, integer programming and non-linear programming.


Encyclopedia of Operations Research and Management Science

Encyclopedia of Operations Research and Management Science

Author: Saul I. Gass

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 774

ISBN-13: 1461304598

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Operations Research: 1934-1941," 35, 1, 143-152; "British The goal of the Encyclopedia of Operations Research and Operational Research in World War II," 35, 3, 453-470; Management Science is to provide to decision makers and "U. S. Operations Research in World War II," 35, 6, 910-925; problem solvers in business, industry, government and and the 1984 article by Harold Lardner that appeared in academia a comprehensive overview of the wide range of Operations Research: "The Origin of Operational Research," ideas, methodologies, and synergistic forces that combine to 32, 2, 465-475. form the preeminent decision-aiding fields of operations re search and management science (OR/MS). To this end, we The Encyclopedia contains no entries that define the fields enlisted a distinguished international group of academics of operations research and management science. OR and MS and practitioners to contribute articles on subjects for are often equated to one another. If one defines them by the which they are renowned. methodologies they employ, the equation would probably The editors, working with the Encyclopedia's Editorial stand inspection. If one defines them by their historical Advisory Board, surveyed and divided OR/MS into specific developments and the classes of problems they encompass, topics that collectively encompass the foundations, applica the equation becomes fuzzy. The formalism OR grew out of tions, and emerging elements of this ever-changing field. We the operational problems of the British and U. s. military also wanted to establish the close associations that OR/MS efforts in World War II.


Selected Methods and Models in Military Operations Research

Selected Methods and Models in Military Operations Research

Author: Peter W. Zehna

Publisher:

Published: 2005

Total Pages: 428

ISBN-13: 9781410223241

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The growth of operations research during the past several years has been phenomenal. Throughout its evolution, military problems have continually nourished the subject matter and provided interesting sources of research for its further development. As a consequence, military research organizations such as the Office of Naval Research have historically furnished the major support for work on the basic foundations of mathematics and management science necessary to the continued growth of operations research. Beginning with one or two basic textbooks in the early 1950's, most of the tools and techniques of this field have been found in specialized textbooks and the open literature. Recently several new and comprehensive textbooks became available for the classroom training of operations researchers at all levels. This is not surprising, since separate departments of operations research have been formed at various colleges and universities and now provide an opportunity for major study in this field at both the undergraduate and graduate levels. By and large the textbooks now available are not particularly oriented toward military applications, and a need for such a book appears to exist. This book has been written with a view toward filling that need. Its main purpose is to provide orientation for the practitioner who is interested in problem areas that have direct bearing on military applications. It is not a basic textbook designed to train an operations researcher in a comprehensive fashion, although certainly some of the material is amenable to classroom use. On the other hand, it is not a collection of isolated research papers. Rather, as the title indicates, it is an illustration ofthe basic tools and techniques used in solving certain problems of a military nature and application. Several areas have been explored in some detail, although certainly not every conceivable application or area is covered. Also, some applications are presented in terms that are broader than a specific military use. The coordinating theme of the book is the exploitation of mathematical models in the investigation of problems. For this reason the book begins with an extensive discussion of the various aspects of a mathematical model and its role in operations research. A case is made for the place of abstraction in the study of models and is illustrated with the simpler aspects of a Boolean algebra. Following this a rather comprehensive survey of probability and statistics is provided, emphasizing those points that are particularly significant for studying models. The book then proceeds through a variety of models from very specialized problems through search theory, simulation, and finally, inventory and reliability models. It then closes with a broad discussion of systems analysis.