Operations Research : Algorithms And Applications

Contents Preface 1 Introduction Part I Deterministic Operations Research Models 2 Linear Programming I Problem Formulation Graphical Solution and The Simplex Method 3 Linear Programming II Duality Concept and Post-Optimality Analysis 4 Linear Programming Extensions Transportation and Assignment Models Part II Hybrid Operations Research Models 5 Project Management PERT and CPM 6 Dynamic Programming Recursive Optimization 7 Inventory Control Models 8 Simulation Techniques and Applications--Mathematical Modelling and Computer Programming Part III Stochastic Operations Research Models 9 Decision Theory 10 Game Theory An Analysis of Strategic Interaction 11 Queueing Theory 12 Sequencing Models 13 Replacement Maintenance and Reliability Problems 14 Markov Processes 15 Information Theory Part IV Advanced Deterministic Operations Research Models 16 Goal Programming 17 Integer Programming 18 Non-linear Programming Appendix A Answers to Review Problems Appendix B Statistical Tables Bibliography  Index   "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" 800 pp.…