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Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains - Tapa blanda
Sinopsis
The present thesis aims to develop and to analyze methods and algorithms to control uncertain systems. The methods developed are based on control and optimization theory. Model Predictive Control, Large Deviations, Approximate Dynamic Programming and Robust Optimization are applied, extended and combined to face the challenges presented in the application of such methods in real-world problems. In particular, the algorithms developed have been applied to supply chain systems. A supply chain is composed by several business units working together to match the market demand of a product. Despite several economic and cultural changes, (i.e. low production cost, international outsourcing...) the main goal of a supply chain networks is to procure raw materials and transform them into final products. This involves the automation of several processes: material and information flows, and relationships between supplier and customers. To reach these objective the management of a supply chain has to take several decisions and to supervise and to control several facilities.
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He is a Quant Strategist at JP Morgan Chase & Co. He also is Visiting Professor of Operations Research at the Free University of Bozen. Previously, he has been a researcher at University of Cambridge. He holds a PhD in Artificial Intelligence from the Universita' Politecnica delle Marche. He has been a Visiting Scholar at Boston University.
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Adaptive Model Predictive Control in the Inventory Control Problem
Publicado por
LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The present thesis aims to develop and to analyze methods and algorithms to control uncertain systems. The methods developed are based on control and optimization theory. Model Predictive Control, Large Deviations, Approximate Dynamic Programming and Robust Optimization are applied, extended and combined to face the challenges presented in the application of such methods in real-world problems. In particular, the algorithms developed have been applied to supply chain systems. A supply chain is composed by several business units working together to match the market demand of a product. Despite several economic and cultural changes, (i.e. low production cost, international outsourcing.) the main goal of a supply chain networks is to procure raw materials and transform them into final products. This involves the automation of several processes: material and information flows, and relationships between supplier and customers. To reach these objective the management of a supply chain has to take several decisions and to supervise and to control several facilities. 80 pp. Englisch. Nº de ref. del artículo: 9783843379595
Cantidad disponible: 2 disponibles
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Adaptive Model Predictive Control in the Inventory Control Problem
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Pennesi ParisHe is a Quant Strategist at JP Morgan Chase & Co. He also is Visiting Professor of Operations Research at the Free University of Bozen. Previously, he has been a researcher at University of Cambridge. He holds a PhD . Nº de ref. del artículo: 5467821
Cantidad disponible: Más de 20 disponibles
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Adaptive Model Predictive Control in the Inventory Control Problem : Optimization and Feedback Control to Manage Supply Chains
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The present thesis aims to develop and to analyze methods and algorithms to control uncertain systems. The methods developed are based on control and optimization theory. Model Predictive Control, Large Deviations, Approximate Dynamic Programming and Robust Optimization are applied, extended and combined to face the challenges presented in the application of such methods in real-world problems. In particular, the algorithms developed have been applied to supply chain systems. A supply chain is composed by several business units working together to match the market demand of a product. Despite several economic and cultural changes, (i.e. low production cost, international outsourcing.) the main goal of a supply chain networks is to procure raw materials and transform them into final products. This involves the automation of several processes: material and information flows, and relationships between supplier and customers. To reach these objective the management of a supply chain has to take several decisions and to supervise and to control several facilities. Nº de ref. del artículo: 9783843379595
Cantidad disponible: 1 disponibles
Imagen del vendedor
Adaptive Model Predictive Control in the Inventory Control Problem
Publicado por
LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -The present thesis aims to develop and to analyze methods and algorithms to control uncertain systems. The methods developed are based on control and optimization theory. Model Predictive Control, Large Deviations, Approximate Dynamic Programming and Robust Optimization are applied, extended and combined to face the challenges presented in the application of such methods in real-world problems. In particular, the algorithms developed have been applied to supply chain systems. A supply chain is composed by several business units working together to match the market demand of a product. Despite several economic and cultural changes, (i.e. low production cost, international outsourcing.) the main goal of a supply chain networks is to procure raw materials and transform them into final products. This involves the automation of several processes: material and information flows, and relationships between supplier and customers. To reach these objective the management of a supply chain has to take several decisions and to supervise and to control several facilities.Books on Demand GmbH, Überseering 33, 22297 Hamburg 80 pp. Englisch. Nº de ref. del artículo: 9783843379595
Cantidad disponible: 2 disponibles
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Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
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Paperback
Librería: Mispah books, Redhill, SURRE, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
Paperback. Condición: Like New. Like New. book. Nº de ref. del artículo: ERICA79038433795996
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