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Operations Research
Introduction to Models and Methods
Taschenbuch von Richard J Boucherie (u. a.)
Sprache: Englisch

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Beschreibung
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 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.
Details
Erscheinungsjahr: 2021
Fachbereich: Betriebswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 512
ISBN-13: 9789811239816
ISBN-10: 9811239819
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Richard J Boucherie
Aleida Braaksma
Henk Tijms
Hersteller: WSPC
Maße: 244 x 170 x 28 mm
Von/Mit: Richard J Boucherie (u. a.)
Erscheinungsdatum: 26.10.2021
Gewicht: 0,874 kg
preigu-id: 120283804
Details
Erscheinungsjahr: 2021
Fachbereich: Betriebswirtschaft
Genre: Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Taschenbuch
Seiten: 512
ISBN-13: 9789811239816
ISBN-10: 9811239819
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Richard J Boucherie
Aleida Braaksma
Henk Tijms
Hersteller: WSPC
Maße: 244 x 170 x 28 mm
Von/Mit: Richard J Boucherie (u. a.)
Erscheinungsdatum: 26.10.2021
Gewicht: 0,874 kg
preigu-id: 120283804
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