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| Author | : Harvey M. Wagner |
| Publisher | : Prentice Hall |
| Total Pages | : 1096 |
| Release | : 1969 |
| Genre | : Business & Economics |
| ISBN | : |
Textbook on the fundamentals of operational research - includes theory, models, related mathematics and decision making applications, and covers linear programming, network analysis, computer simulations, probability distribution, etc. References.
| Author | : Harvey M. Wagner |
| Publisher | : |
| Total Pages | : 1039 |
| Release | : 1999 |
| Genre | : Operations research |
| ISBN | : 9788120301627 |
| Author | : G. V. Shenoy |
| Publisher | : New Age International |
| Total Pages | : 418 |
| Release | : 1986 |
| Genre | : Business & Economics |
| ISBN | : 9780852269176 |
| Author | : A. Ravi Ravindran |
| Publisher | : CRC Press |
| Total Pages | : 900 |
| Release | : 2016-04-19 |
| Genre | : Business & Economics |
| ISBN | : 1420009710 |
Operations Research (OR) began as an interdisciplinary activity to solve complex military problems during World War II. Utilizing principles from mathematics, engineering, business, computer science, economics, and statistics, OR has developed into a full fledged academic discipline with practical application in business, industry, government and m
| Author | : Levent Kandiller |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 303 |
| Release | : 2006-12-18 |
| Genre | : Mathematics |
| ISBN | : 0387377352 |
This book is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions. All the concepts presented in each chapter have undergone the learning scrutiny of the author and his students. The illustrative material throughout the book was refined for student comprehension as the manuscript developed through its iterations, and the chapter exercises are refined from the previous year's exercises.
| Author | : D S Hira |
| Publisher | : S. Chand Publishing |
| Total Pages | : 1510 |
| Release | : 1992 |
| Genre | : Technology & Engineering |
| ISBN | : 8121902819 |
The author have used numerical examples as the means for presentation of the underlying ideas of different operations research techniques.Accordingly,a large number of comprehensive solved examples,taken from a variety of fields,have been added in every chapter and they are followed by a set of unsolved problems with answers(and hints wherever required)through which readers can test their understanding of the subject matter.The book,in its present form,contains around 650,examples,1,280 illustrative diagrams.
| Author | : SRINIVASAN, G. |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 606 |
| Release | : 2017-06-01 |
| Genre | : Business & Economics |
| ISBN | : 8120353102 |
This text, now in the Third Edition, aims to provide students with a clear, well-structured and comprehensive treatment of the theory and applications of operations research. The methodology used is to first introduce the students to the fundamental concepts through numerical illustrations and then explain the underlying theory, wherever required. Inclusion of case studies in the existing chapters makes learning easier and more effective. The book introduces the readers to various models of Operations Research (OR), such as transportation model, assignment model, inventory models, queueing theory and integer programming models. Various techniques to solve OR problems’ faced by managers are also discussed. Separate chapters are devoted to Linear Programming, Dynamic Programming and Quadratic Programming which greatly help in the decision-making process. The text facilitates easy comprehension of topics by the students due to inclusion of: • Examples and situations from the Indian context. • Numerous exercise problems arranged in a graded manner. • A large number of illustrative examples. The text is primarily intended for the postgraduate students of management, computer applications, commerce, mathematics and statistics. Besides, the undergraduate students of mechanical engineering and industrial engineering will find this book extremely useful. In addition, this text can also be used as a reference by OR analysts and operations managers. NEW TO THE THIRD EDITION • Includes two new chapters: – Chapter 14: Project Management—PERT and CPM – Chapter 15: Miscellaneous Topics (Game Theory, Sequencing and Scheduling, Simulation, and Replacement Models) • Incorporates more examples in the existing chapters to illustrate new models, algorithms and concepts • Provides short questions and additional numerical problems for practice in each chapter
| Author | : Rathindra P. Sen |
| Publisher | : PHI Learning Pvt. Ltd. |
| Total Pages | : 801 |
| Release | : 2010-01-30 |
| Genre | : Mathematics |
| ISBN | : 8120339304 |
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.
| Author | : Michael Carter |
| Publisher | : CRC Press |
| Total Pages | : 448 |
| Release | : 2018-08-06 |
| Genre | : Business & Economics |
| ISBN | : 1498780113 |
Operations Research: A Practical Introduction is just that: a hands-on approach to the field of operations research (OR) and a useful guide for using OR techniques in scientific decision making, design, analysis and management. The text accomplishes two goals. First, it provides readers with an introduction to standard mathematical models and algorithms. Second, it is a thorough examination of practical issues relevant to the development and use of computational methods for problem solving. Highlights: All chapters contain up-to-date topics and summaries A succinct presentation to fit a one-term course Each chapter has references, readings, and list of key terms Includes illustrative and current applications New exercises are added throughout the text Software tools have been updated with the newest and most popular software Many students of various disciplines such as mathematics, economics, industrial engineering and computer science often take one course in operations research. This book is written to provide a succinct and efficient introduction to the subject for these students, while offering a sound and fundamental preparation for more advanced courses in linear and nonlinear optimization, and many stochastic models and analyses. It provides relevant analytical tools for this varied audience and will also serve professionals, corporate managers, and technical consultants.
| Author | : Tomas Gal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 549 |
| Release | : 2013-03-09 |
| Genre | : Business & Economics |
| ISBN | : 1461550254 |
At a practical level, mathematical programming under multiple objectives has emerged as a powerful tool to assist in the process of searching for decisions which best satisfy a multitude of conflicting objectives, and there are a number of distinct methodologies for multicriteria decision-making problems that exist. These methodologies can be categorized in a variety of ways, such as form of model (e.g. linear, non-linear, stochastic), characteristics of the decision space (e.g. finite or infinite), or solution process (e.g. prior specification of preferences or interactive). Scientists from a variety of disciplines (mathematics, economics and psychology) have contributed to the development of the field of Multicriteria Decision Making (MCDM) (or Multicriteria Decision Analysis (MCDA), Multiattribute Decision Making (MADM), Multiobjective Decision Making (MODM), etc.) over the past 30 years, helping to establish MCDM as an important part of management science. MCDM has become a central component of studies in management science, economics and industrial engineering in many universities worldwide. Multicriteria Decision Making: Advances in MCDM Models, Algorithms, Theory and Applications aims to bring together `state-of-the-art' reviews and the most recent advances by leading experts on the fundamental theories, methodologies and applications of MCDM. This is aimed at graduate students and researchers in mathematics, economics, management and engineering, as well as at practicing management scientists who wish to better understand the principles of this new and fast developing field.
