Operations Research : Principles And Applications

This text, now in the Second Edition, continues 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 expose the students to the fundamental concepts through a numerical illustration and then explain the underlying theory wherever required. The inclusion of a case study in each chapter of this second edition has made learning easier and more effective.
The book introduces the readers to various models of operations research, such as the transportation model, the assignment model, the inventory model, the queueing theory and the integer programming model. The 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.

G. Srinivasan, Ph.D. (IIT Madras), is Professor, Department of Management Studies, Indian Institute of Technology Madras. A member of the Society of Operations Management (India), Dr. Srinivasan has contributed several research papers to international journals and conferences. Besides the present book, he has also authored a book on Quantitative Models in Operations and Supply Chain Management, published by PHI Learning. His areas of research interest include Operations Research, Production and Operations Management, and Supply Chain Management.