OPERATIONS RESEARCH : INTRODUCTION TO MODELS AND METHODS

Boucherie Richard J

ISBN 10: 9811239819 / ISBN 13: 9789811239816

Editore: World Scientific, 2021

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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.

Codice articolo 9789811239816

Dati bibliografici

• Titolo: OPERATIONS RESEARCH : INTRODUCTION TO MODELS AND METHODS
• Editore: World Scientific
• Data di pubblicazione: 2021
• Lingua: Inglese
• ISBN 10: 9811239819
• ISBN 13: 9789811239816
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 244 L x 170 A x 28 P (millimetri) 244 millimetri di larghezza per 170 millimetri di altezza per 28 millimetri di profondità
• Peso: 874 grammi

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Riassunto

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.