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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
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
Each concept is discussed from the basics and supported by sufficient mathematical background and worked examples. Suitable for individual or group learning, the book offers numerous end-of-chapter problems for study and review.
Game Theoretical Applications to Economics and Operations Research deals with various aspects of game theory and their applications to Economics and OR related problems. It brings together the contributions of a wide spectrum of disciplines such as Statistics, Mathematics, Mathematical Economics and OR. The contributions include decision theory, stochastic games, cooperative and noncooperative games. The papers in the volume are classified under five different sections. The first four sections are devoted to the theory of two-person games, linear complimentarity problems and game theory, cooperative and noncooperative games. The fifth section contains diverse applications of these various theories. Taken together they exhibit a rich versatility of these theories and lively interaction between the mathematical theory of games and significant economic problems.
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.
While typically many approaches have been mainly mathematics focused, graph theory has become a tool used by scientists, researchers, and engineers in using modeling techniques to solve real-world problems. Graph Theory for Operations Research and Management: Applications in Industrial Engineering presents traditional and contemporary applications of graph theory in the areas of industrial engineering, management science, and applied operations research. This comprehensive collection of research introduces the useful basic concepts of graph theory in real world applications.
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.
This is a comprehensive textbook that combines theory and applications of "Operations Research" and covers more topics. Starting with an introduction to "Operations Research", the book deals with the various techniques of Operations Research applicable in practice. Separate chapters are devoted to Linear Programming, Dynamic Programming, Transportation and Assignment Project Scheduling, Goal Programming, Integer Programming, Inventory Control, Replacement Theory, Game Theory, Queueing Theory, Sequencing Theory, Non-linear Programming, and Simulation Technique. The approach adopted in the book is a good combination of verbal exposition, geometry, and mathematics. Numerous practical examples alongwith the theory make the book more useful. The book has been written for students pursuing undergraduate and post graduate courses in engineering, post graduate causes in management and computer science, and C.A. It would be equally useful to students of M. Sc/M.A (Mathematics) and other Professional courses.