Description : 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
Description : 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
Description : 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
Description : This introductory text provides undergraduate and graduate students with a concise and practical introduction to the primary concepts and techniques of optimization. Practicing engineers and managers will also find useful its concentration on problems and examples relevant to them. With a strong emphasis on basic concepts and techniques throughout, the book explains the theory behind each technique as simply as possible, along with illustrations and worked examples. It gives a balanced treatment of both the linear and nonlinear programming, plus search techniques, geometric programming, and game theory. Some typical problems varying in difficulty level are solved so readers can appreciate intricacies of the underlying concepts useful for practical problem solving. Suitable for individual or group learning, the book also includes numerous end-of-chapter problems for study and review.
Description : 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.
Description : This book includes case studies that examine the application of operations research to improve or increase efficiency in industry and operational activities. This collection of “living case studies” is all based on the author’s 30-year career of consulting and advisory work. These true-to life industrial applications illustrate the research and development of solutions, as well as potential implementation and integration problems that may occur when adopting these methods into a business. Among the topics covered in the chapters include optimization in circuit board manufacturing, Decision Support System (DSS) for plant loading and dispatch planning, as well as development of important test procedures for tyre and pharma industry with shelf life constraints. In particular, the study on deckle optimization should be of great help to managers in paper industry and consultants for development of deckle optimization software. The application of operations research throughout the industry makes it an ideal guide for industrial executives, professionals and practitioners responsible for quality and productivity improvement.
Description : The second 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. This New 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 linear and non-linear programming, dynamic programming, goal programming, parametric programming, integer programming, transportation and assignment problems, inventory control, and network techniques. It also gives a comprehensive account of game theory, queueing theory, project management, replacement and maintenance analysis, and production scheduling. NEW TO THIS EDITION Inclusion of quantity discount models for transportation problem. Updated inventory control model and detailed discussion on application of dynamic programming in the fields of cargo loading and single-machine scheduling. Numerous new examples that explain the operations research concepts better. New questions with complete solutions to selected problems. This book, with its many student friendly features, would be eminently suitable as a text for students of engineering (mechanical, production and industrial engineering), management, mathematics, statistics, and postgraduate students of commerce and computer applications (MCA).
Description : About the Book: The subject OPERATIONS RESEARCH is a branch of mathematics. Many authors have written books on Operations Research. Most of them have mathematical approach rather than decision-making approach. Actually the subject deals with applied decision theory, so I have dealt with the subject with decision-theory approach. The book has fifteen chapters. The first five chapters deal with Linear Programming Problems, such as Resource allocation problem, Transportation problem and Assignment problem?both maximization and minimization versions. In the first chapter, the historical background of Operations Research (O.R.) and definition and objective of the subject matter along with model building is discussed to help the learners to have basic knowledge of O.R. Typical problems of mathematical orientation and decision making orientation have been solved. In transportation model and in assignment model, problems useful to Production and Operations Management have been solved to make the students to know the application part of the subject. The sixth chapter deals with Sequencing model, where the importance and application of the models is dealt in detail. The problem of Replacement is discussed in Chapter-7. Inventory model with certain topics like ABC, VED, FSN, p-system and q-system is discussed to make the students aware of the importance of Inventory model. Chapter-9 deals with Waiting line model and its application with certain useful problems and their solutions. Game theory or Competitive theory is discussed in Chapter-10 with certain problems, which have their application in real world situation. Dynamic programming is dealt in Chapter-11. The problems worked out have practical significance. Chapter-12 deals with Decision theory where the usefulness of decision tree is discussed. Non-Linear programming is briefly discussed in Chapter-14 with certain useful problems. In Chapter -15, the two network techniques i.e. PERT and CPM have been discussed with typical worked out examples. At the end of the book, objective type questions, which are helpful for competitive examinations are given to help the students to prepare for such examinations. Contents: Historical Development Linear Programming Models (Resource AllocationModels) Linear Programming Models (Solution by Simplex Method) LinearProgramming-II (Transportation Problem) Linear Programming-III (AssignmentModel Sequencing Model Replacement Model Inventory Control Waiting Line theory or Queuing Model Theory of Games of CompetitiveStrategies Dynamic Programming Decision Theory Simulation Introduction Non-Linear Programming Programme Evaluation and ReviewTechnique and Critical Path Method (PERT and CPM).
Description : 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.
Description : This comprehensive book provides the students with the basic knowledge of the processes involved in operations research and discusses the techniques of solutions to problems and their applications in daily life. Beginning with an overview of the operations research models and decision-making, the book describes in detail the various optimization techniques such as linear and non-linear programming, integer linear programming, dynamic programming, genetic programming, and network techniques such as PERT (program evaluation review technique) and CPM (critical path method). It also explains the transportation and assignment problems, queuing theory, games theory, sequencing, replacement and capital investment decisions and inventory. Besides, the book discusses the Monte Carlo simulation techniques for solving queuing, demand forecasting, inventory and scheduling problems and elaborates on genetic algorithms. Each mathematical technique is dealt with in two parts. The first part explains the theory underlying the methodology of solution to problems. The second part illustrates how the theory is applied to solve different kinds of problems. This book is designed as a textbook for the undergraduate students of mechanical engineering, electrical engineering, production and industrial engineering, computer science and engineering and information technology. Besides, the book will also be useful to the postgraduate students of production and industrial engineering, computer applications, business administration, commerce, mathematics and statistics. KEY FEATURES : Includes a large number of solved problems to help students comprehend the concepts with ease. Gives step-by-step explanation of algorithms by taking problems. Provides chapter-end exercises to drill the students in self-study.