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| Author | : Australian Society for Operations Research. Queensland Branch |
| Publisher | : |
| Total Pages | : |
| Release | : 2000 |
| Genre | : |
| ISBN | : |
| Author | : Martin Kunc |
| Publisher | : Springer |
| Total Pages | : 412 |
| Release | : 2016-06-29 |
| Genre | : Business & Economics |
| ISBN | : 1137535512 |
Behavioral research is making a significant impact on many academic disciplines. Its status as the source of some of the most profound research in the social sciences is unparalleled. Therefore, it is not surprising that interest in Behavior and Operational Research (OR) is burgeoning, even though understanding the relationship between knowledge, behavior and action has been an academic preoccupation in OR since the beginning of the discipline. This book introduces the idea of Behavioral OR, where the theoretical and empirical developments in the behavioral field are making an impression on OR academics and practitioners alike. The book provides a much needed overview that connects together theory, methodology and practice and offers the “state of the art” on Behavioral Operational Research theory and practice. The book not only includes chapters by leading academics, but also includes rich and insightful real-life case studies by practitioners.
| Author | : Irfan Ali |
| Publisher | : CRC Press |
| Total Pages | : 434 |
| Release | : 2021-11-29 |
| Genre | : Business & Economics |
| ISBN | : 1000404722 |
The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decisionmaking problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially operations research and applied statistics.
| Author | : N. K. TIWARI |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 276 |
| Release | : 2006-01-01 |
| Genre | : Technology & Engineering |
| ISBN | : 9788120329669 |
Primarily intended for postgraduate students of management and computer applications, this book presents the theory and applications of operations research in an easy-to-read style. It introduces the readers to various models of operations research, such as transportation model, assignment model, inventory model, queuing model, replacement model, sequencing model, and integer programming model. The various methods to solve real-life problems faced by managers are also fully analyzed. Separate chapters are devoted to Linear Programming, Decision Theory, Game Theory, Dynamic Programming, and Project Management, which greatly help the decision-making process. The text features numerous fully worked-out examples, a fairly large number of exercises, and end-of-chapter theoretical questions which enhance the value of the text. Besides postgraduate students of management (MBA), computer applications (MCA), commerce, mathematics, and statistics, students of engineering will also find this text extremely useful.
| Author | : J. K. Sharma |
| Publisher | : |
| Total Pages | : 1196 |
| Release | : 2006-01-01 |
| Genre | : |
| ISBN | : 9781403931511 |
Operations Research: Theory and Applications, is a comprehensive text for courses in Quantitative Methods, Operations Research, Management Science, Analytical Methods for Decision-Making, and other related courses. The third edition of the book further enhances the easy-to-understand approach employed in the first two editions. It continues to provide readers an understanding of problem-solving methods based upon a careful discussion of model formulation, solution procedures and analysis. The key revisions in the third edition are: " Almost all chapters have been reorganized and/or rewritten to facilitate better and easier understanding of concepts and text material. " Each chapter contains Learning Objectives to guide the students to focus their attention to understand a specific topic under study. " Chapter 2 on LP Model Formulation includes properly graded problems to provide wide areas of managerial applications. " Most chapters contain Cases to help students to understand business situations and suggest solutions to certain managerial issues raised using specific technique of operations research. " Appendices, in most chapters, provide basic theoretical support to the development of specific techniques used in that chapter to solve decision-making problems. " Each chapter contains Chapter Concepts Quiz to help students reinforce their understanding of the principles and applications of operations research techniques. " Explanations are richly illustrated with numerous interesting and varied business-oriented examples. " Hints and answers to self-practice problems are given in each chapter to enable students to learn at their own pace. The book is intended to serve as a core textbook for students of MBA/PGDBM, MCom, CA, and ICWA who need to understand the basic concepts of operations research and apply them directly to real-life business problems. It also suits the requirements of students for MA/MSc (Mathematics, Statistics, O
| Author | : Raúl Poler |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 433 |
| Release | : 2013-11-08 |
| Genre | : Technology & Engineering |
| ISBN | : 1447155777 |
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.
| Author | : David J. Rader |
| Publisher | : John Wiley & Sons |
| Total Pages | : 631 |
| Release | : 2013-06-07 |
| Genre | : Mathematics |
| ISBN | : 1118627350 |
Uniquely blends mathematical theory and algorithm design for understanding and modeling real-world problems Optimization modeling and algorithms are key components to problem-solving across various fields of research, from operations research and mathematics to computer science and engineering. Addressing the importance of the algorithm design process. Deterministic Operations Research focuses on the design of solution methods for both continuous and discrete linear optimization problems. The result is a clear-cut resource for understanding three cornerstones of deterministic operations research: modeling real-world problems as linear optimization problem; designing the necessary algorithms to solve these problems; and using mathematical theory to justify algorithmic development. Treating real-world examples as mathematical problems, the author begins with an introduction to operations research and optimization modeling that includes applications form sports scheduling an the airline industry. Subsequent chapters discuss algorithm design for continuous linear optimization problems, covering topics such as convexity. Farkas’ Lemma, and the study of polyhedral before culminating in a discussion of the Simplex Method. The book also addresses linear programming duality theory and its use in algorithm design as well as the Dual Simplex Method. Dantzig-Wolfe decomposition, and a primal-dual interior point algorithm. The final chapters present network optimization and integer programming problems, highlighting various specialized topics including label-correcting algorithms for the shortest path problem, preprocessing and probing in integer programming, lifting of valid inequalities, and branch and cut algorithms. Concepts and approaches are introduced by outlining examples that demonstrate and motivate theoretical concepts. The accessible presentation of advanced ideas makes core aspects easy to understand and encourages readers to understand how to think about the problem, not just what to think. Relevant historical summaries can be found throughout the book, and each chapter is designed as the continuation of the “story” of how to both model and solve optimization problems by using the specific problems-linear and integer programs-as guides. The book’s various examples are accompanied by the appropriate models and calculations, and a related Web site features these models along with MapleTM and MATLAB® content for the discussed calculations. Thoroughly class-tested to ensure a straightforward, hands-on approach, Deterministic Operations Research is an excellent book for operations research of linear optimization courses at the upper-undergraduate and graduate levels. It also serves as an insightful reference for individuals working in the fields of mathematics, engineering, computer science, and operations research who use and design algorithms to solve problem in their everyday work.
| Author | : Paul A. Jensen |
| Publisher | : John Wiley & Sons |
| Total Pages | : 708 |
| Release | : 2002-10-08 |
| Genre | : Technology & Engineering |
| ISBN | : 0471380040 |
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.
| Author | : Erhan Kozan |
| Publisher | : |
| Total Pages | : 1500 |
| Release | : 1999-08-01 |
| Genre | : |
| ISBN | : 9780959629149 |
| Author | : Saïd Salhi |
| Publisher | : Springer Nature |
| Total Pages | : 923 |
| Release | : 2022-07-07 |
| Genre | : Business & Economics |
| ISBN | : 3030969355 |
Operations Research (OR) is a fast-evolving field, which is having a significant impact on its neighbouring disciplines of Business Analytics and Data Science, and on contemporary business and management practices. This handbook provides a comprehensive and cutting edge collection of studies in the area. Views differ on what should be included within the scope of OR. The editors of this volume have taken the view that an inclusive stance is the most helpful, both for theory and practice. Real-world problems often require consideration from both ‘softer’ and ‘harder’ perspectives and need consideration of both predictive and prescriptive problems. In accordance with this inclusive approach to OR, the book is divided into six parts, covering Discrete Optimization, Continuous Optimization, Heuristic Search Optimization, Forecasting, Simulation and Prediction, Problem Structuring and Behavioural OR, and finally some recent OR Applications. This wide-ranging handbook includes a culturally diverse collection of authors, with different perspectives and backgrounds around Operations Research. It will be of tremendous value to researchers, students and practitioners in the field of OR
