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

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 subjects. This fourth edition of the book further

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

The third edition of this well-organized and comprehensive text continues to provide an in-depth coverage of the theory and applications of operations research. It emphasizes the role of operations research not only as an effective decision-making tool, but also as an essential productivity improvement tool to deal with real-world management problems. In the growing field of analytics, this text serves to have thorough understanding of the Operations Models that form constituents of the model base, which is a component of Decision Support System. This edition includes new carefully designed numerical examples that help in understanding complex mathematical concepts better. The book is an easy read, explaining the basics of operations research and discussing various optimization techniques such as • Overview of operations research • Queuing theory • Linear programming • Project management • Transportation problem • Decision theory • Assignment problem • Game theory • Network techniques • Production scheduling • Integer programming • Goal programming • Inventory control • Parametric linear programming • Dynamic programming • Nonlinear programming NEW TO THIS EDITION • Inclusion of more mathematical models in Chapter 2. • Incorporation of case studies in all the chapters to test the understanding, analysis, and provision solution for implementation of the concerned Operation Research techniques. • Introduction of a topic on ABC analysis in Chapter 7. • Access to Multiple Choice Questions with keys for each of the chapters as online resource materials. Visit: https://www.phindia.com/Operations_research_panneerselvam This book, with numerous pedagogical features, would be eminently suitable as a text for students of engineering, B.E/B.Tech (in specific mechanical, production, and industrial engineering), mathematics, statistics, and postgraduate students of management (MBA), industrial engineering and production engineering, data analytics, commerce, and computer applications (MCA).

This book focuses largely on constrained optimization. It begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Along the way, dynamic programming and the linear complementarity problem are touched on as well. This book aims to be the first introduction to the topic. Specific examples and concrete algorithms precede more abstract topics. Nevertheless, topics covered are developed in some depth, a large number of numerical examples worked out in detail, and many recent results are included, most notably interior-point methods. The exercises at the end of each chapter both illustrate the theory, and, in some cases, extend it. Optimization is not merely an intellectual exercise: its purpose is to solve practical problems on a computer. Accordingly, the book comes with software that implements the major algorithms studied. At this point, software for the following four algorithms is available: The two-phase simplex method The primal-dual simplex method The path-following interior-point method The homogeneous self-dual methods.£/LIST£.

A fundamental introduction to modern game theory from a mathematical viewpoint Game theory arises in almost every fact of human and inhuman interaction since oftentimes during these communications objectives are opposed or cooperation is viewed as an option. From economics and finance to biology and computer science, researchers and practitioners are often put in complex decision-making scenarios, whether they are interacting with each other or working with evolving technology and artificial intelligence. Acknowledging the role of mathematics in making logical and advantageous decisions, Game Theory: An Introduction uses modern software applications to create, analyze, and implement effective decision-making models. While most books on modern game theory are either too abstract or too applied, this book provides a balanced treatment of the subject that is both conceptual and hands-on. Game Theory introduces readers to the basic theories behind games and presents real-world examples from various fields of study such as economics, political science, military science, finance, biological science as well as general game playing. A unique feature of this book is the use of Maple to find the values and strategies of games, and in addition, it aids in the implementation of algorithms for the solution or visualization of game concepts. Maple is also utilized to facilitate a visual learning environment of game theory and acts as the primary tool for the calculation of complex non-cooperative and cooperative games. Important game theory topics are presented within the following five main areas of coverage: Two-person zero sum matrix games Nonzero sum games and the reduction to nonlinear programming Cooperative games, including discussion of both the Nucleolus concept and the Shapley value Bargaining, including threat strategies Evolutionary stable strategies and population games Although some mathematical competence is assumed, appendices are provided to act as a refresher of the basic concepts of linear algebra, probability, and statistics. Exercises are included at the end of each section along with algorithms for the solution of the games to help readers master the presented information. Also, explicit Maple and Mathematica® commands are included in the book and are available as worksheets via the book's related Web site. The use of this software allows readers to solve many more advanced and interesting games without spending time on the theory of linear and nonlinear programming or performing other complex calculations. With extensive examples illustrating game theory's wide range of relevance, this classroom-tested book is ideal for game theory courses in mathematics, engineering, operations research, computer science, and economics at the upper-undergraduate level. It is also an ideal companion for anyone who is interested in the applications of game theory.