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This book on Operation Research has been specially written to meet the requirements of the M.Sc., M.Com. and M.B.A. students for all Indian Universities. The subject matter has been discussed in such a simple way that the students will find no difficulty to understand it. The proof of various theorems and examples has been given with minute details. Each chapter of this book contains complete theory and fairly large number of solved examples, sufficient problems have also been selected from various universities examination papers. Contents: Simulation, LPP with Applications, Minimization Problem, Replacement and Maintenance Theory.
"This is an excellent and well-written text on discrete event simulation with a focus on applications in Operations Research. There is substantial attention to programming, output analysis, pseudo-random number generation and modelling and these sections are quite thorough. Methods are provided for generating pseudo-random numbers (including combining such streams) and for generating random numbers from most standard statistical distributions." --ISI Short Book Reviews, 22:2, August 2002
NOTE: NO FURTHER DISCOUNT FOR THIS PRINT PRODUCT--OVERSTOCK SALE -- Significantly reduced list price This second of three volumes on the history of operations research identifies, describes, and evaluates the ideas, people, organizations, and events that influenced the development of ORSA in the Army from the inauguration of President Kennedy in 1961 to the withdrawal of U.S. forces from Vietnam in 1973. Related products: History of Operations Research in the United States Army, V. I: 1942-62 -- Print Paperback format --can be found here: https: //bookstore.gpo.gov/products/sku/008-029-00433-0 History of Operations Research in the United States Army, V. 3, 1973-1995 --Print Paperback format -- can be found here: https: //bookstore.gpo.gov/products/sku/008-029-00473-9"
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.
This attractive textbook with its easy-to-follow presentation provides a down-to-earth introduction to operations research for students in a wide range of fields such as engineering, business analytics, mathematics and statistics, computer science, and econometrics. It is the result of many years of teaching and collective feedback from students.The book covers the basic models in both deterministic and stochastic operations research and is a springboard to more specialized texts, either practical or theoretical. The emphasis is on useful models and interpreting the solutions in the context of concrete applications.The text is divided into several parts. The first three chapters deal exclusively with deterministic models, including linear programming with sensitivity analysis, integer programming and heuristics, and network analysis. The next three chapters primarily cover basic stochastic models and techniques, including decision trees, dynamic programming, optimal stopping, production planning, and inventory control. The final five chapters contain more advanced material, such as discrete-time and continuous-time Markov chains, Markov decision processes, queueing models, and discrete-event simulation.Each chapter contains numerous exercises, and a large selection of exercises includes solutions.
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.