Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains - Softcover
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.
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About the Author
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
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LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
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Taschenbuch. Condition: 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. Seller Inventory # 9783843379595
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Adaptive Model Predictive Control in the Inventory Control Problem
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Condition: 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 . Seller Inventory # 5467821
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Adaptive Model Predictive Control in the Inventory Control Problem
Published by
LAP LAMBERT Academic Publishing Feb 2011, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
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Taschenbuch. Condition: 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. Seller Inventory # 9783843379595
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Adaptive Model Predictive Control in the Inventory Control Problem : Optimization and Feedback Control to Manage Supply Chains
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3843379599
ISBN 13: 9783843379595
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Taschenbuch. Condition: 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. Seller Inventory # 9783843379595
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Adaptive Model Predictive Control in the Inventory Control Problem | Optimization and Feedback Control to Manage Supply Chains
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Taschenbuch. Condition: Neu. Adaptive Model Predictive Control in the Inventory Control Problem | Optimization and Feedback Control to Manage Supply Chains | Paris Pennesi | Taschenbuch | 80 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783843379595 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 107089597
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Adaptive Model Predictive Control in the Inventory Control Problem: Optimization and Feedback Control to Manage Supply Chains
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