Operations research: algorithms and applications
Material type: TextPublication details: PHI learning New Delhi 2012Description: xvii, 789 pISBN:- 9788120339309
- 658.4034 SEN
Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
Book | Indian Institute of Management LRC General Stacks | Operations Management & Quantitative Techniques | 658.4034 SEN (Browse shelf(Opens below)) | 1 | Available | 005697 |
Browsing Indian Institute of Management LRC shelves, Shelving location: General Stacks, Collection: Operations Management & Quantitative Techniques Close shelf browser (Hides shelf browser)
658.4034 MAT Analytics in operations/supply chain management | 658.4034 PAN Operations research | 658.4034 PRA Operations research | 658.4034 SEN Operations research: algorithms and applications | 658.4034 SIN Operations research using excel: a case study approach | 658.4034 SRI Operations research: principles and applications | 658.4034 TAH Operations research: an introduction |
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).
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