Articles liés à Adaptive Model Predictive Control in the Inventory...
Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains - Couverture souple
Synopsis
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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Acheter neuf
Afficher cet article
EUR 41,05
EUR 9,70 expédition depuis Allemagne vers France
Destinations, frais et délaisRésultats de recherche pour Adaptive Model Predictive Control in the Inventory...
Image fournie par le vendeur
Adaptive Model Predictive Control in the Inventory Control Problem
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3843379599
ISBN 13 : 9783843379595
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
Évaluation du vendeur 4 sur 5 étoiles
Etat : 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 . N° de réf. du vendeur 5467821
Quantité disponible : Plus de 20 disponibles
Image fournie par le vendeur
Adaptive Model Predictive Control in the Inventory Control Problem : Optimization and Feedback Control to Manage Supply Chains
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3843379599
ISBN 13 : 9783843379595
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843379595
Quantité disponible : 1 disponible(s)
Image fournie par le vendeur
Adaptive Model Predictive Control in the Inventory Control Problem
Edité par
LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10 : 3843379599
ISBN 13 : 9783843379595
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843379595
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Adaptive Model Predictive Control in the Inventory Control Problem
Edité par
LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10 : 3843379599
ISBN 13 : 9783843379595
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : 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. N° de réf. du vendeur 9783843379595
Quantité disponible : 2 disponible(s)
Image d'archives
Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains
Edité par
LAP LAMBERT Academic Publishing, 2011
ISBN 10 : 3843379599
ISBN 13 : 9783843379595
Ancien ou d'occasion
Paperback
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
Évaluation du vendeur 4 sur 5 étoiles
Paperback. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA79038433795996
Quantité disponible : 1 disponible(s)