This text provides a sound foundation for understanding the concepts, theory and applications of operations research by integrating numerous examples. 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.
Key Features :
Treats each topic right from its conceptual stage to the advanced stage.
Provides abundant business life illustrations and solved examples to help amplify key concepts and give students extensive models for problem solving.
Offers graded problems at the end of each chapter to provide students with the means to develop their understanding of the material.
The book is intended for postgraduate students of management, computer applications, mathematics, statistics, commerce, economics, as well as students of engineering (mechanical, production and industrial engineering).