Principles Of Operations Research For Management 2nd Edition

Table of Applications. The Process of Operations Research/Management Science, Classical Deterministic Models, Linear Programming : Geometric and Computerized Solutions, Linear Programming: Postoptimality, Linear Programming: The Simplex Method, Transportation and Assignment Models, Integer and Zero-One Programming, Multicriteria Mathematical Programming, Network Models, Project Scheduling, Dynamic Programming and Sequential Decisions, Decision Analysis, Markov, Processes, Inventory Models, Queuing Models, Simulation, Management Science in Perspective.

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.

About The Book: This edition includes a new chapter on decision analysis, and additional material on computer solutions of linear programming problems, LP applications, the use of sensitivity analysis output, minimal spanning tree, goal programming, network of queues, and more. Throughout, mathematics is kept to an intermediate level.

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.

Industrial Management has been specifically written and designed for BTech students with special emphasis on Gautam Buddh Technical University (GBTU) and Mahamaya Technical University (MMTU). The book addresses the core theories of industrial management to help students apply their knowledge in future managerial decision making. The presentation of this book has been kept simple and lucid so that theories and their possible applications are easily comprehensible to the students. Adequate industry examples make this an enjoyable read.

This edition provides the lay person with a comprehensive overview of operations and its relation to other management functions. The author discusses the strategies and role of operations in organizations in order to establish a framework within which operations can be successfully managed. It then considers product design, services, and the operations function itself, tackling the issues involved in planning and control, including discussions of JIT and TQM. Examples are drawn from both manufacturing and service industries to focus on an analysis of key techniques that are useful to managers from a range of backgrounds.

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