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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering) - Tapa blanda
Sinopsis
Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research.
The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
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Críticas
"This is a very well-written book, providing a good balance between modeling and mathematical rigor....I enjoyed reading this book and will undoubtedly use it myself; I would also highly recommend it to my graduate students." - Technometrics
Reseña del editor
Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research.
The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.
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- EditorialSpringer
- Año de publicación2013
- ISBN 10 1461276284
- ISBN 13 9781461276289
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas380
- EditorYao David D.
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Stochastic Modeling and Analysis of Manufacturing Systems
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Springer New York Aug 2013, 2013
ISBN 10: 1461276284
ISBN 13: 9781461276289
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems. 380 pp. Englisch. Nº de ref. del artículo: 9781461276289
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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
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Stochastic Modeling and Analysis of Manufacturing Systems
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems . Nº de ref. del artículo: 4190226
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Stochastic Modeling and Analysis of Manufacturing Systems
Publicado por
Springer New York, Springer US, 2013
ISBN 10: 1461276284
ISBN 13: 9781461276289
Nuevo
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research. The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems. Nº de ref. del artículo: 9781461276289
Cantidad disponible: 1 disponibles
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Stochastic Modeling and Analysis of Manufacturing Systems
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ISBN 10: 1461276284
ISBN 13: 9781461276289
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Stochastic Modeling and Analysis of Manufacturing Systems
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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
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Stochastic Modeling and Analysis of Manufacturing Systems
Publicado por
Springer New York, Springer US Aug 2013, 2013
ISBN 10: 1461276284
ISBN 13: 9781461276289
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -Manufacturing systems have become increasingly complex over recent years. This volume presents a collection of chapters which reflect the recent developments of probabilistic models and methodologies that have either been motivated by manufacturing systems research or been demonstrated to have significant potential in such research.The editor has invited a number of leading experts to present detailed expositions of specific topics. These include: Jackson networks, fluid models, diffusion and strong approximations, the GSMP framework, stochastic convexity and majorization, perturbation analysis, scheduling via Brownian models, and re-entrant lines and dynamic scheduling. Each chapter has been written with graduate students in mind, and several have been used in graduate courses that teach the modeling and analysis of manufacturing systems.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 380 pp. Englisch. Nº de ref. del artículo: 9781461276289
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Stochastic Modeling and Analysis of Manufacturing Systems (Springer Series in Operations Research and Financial Engineering)
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