Adaptive Model Predictive Control in the Inventory Control Problem
··· lezzter Preis 44.10 ··· 9783843379595 ··· 10361101645 ··· 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. Hersteller: LAP Lambert Academic Publishing Marke: LAP Lambert Academic Publishing EAN: 9783843379595 Kat: Hardcover/Sozialwissenschaften, Recht, Wirtschaft/Wirtschaft/Management Lieferzeit: Print on Demand Versandkosten: Ab 20¤ Versandkostenfrei in Deutschland Icon: https://www.inforius-bilder.de/bild/?I=bDMNnc3gtza14T0usWJKStEeKxQpByDpFuD%2B1hWTo1k%3D Bild:
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