This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data forbakery products.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Anna-Lena Sachs works as Assistant Professor for Supply Chain Management at the Faculty of Management, Economics and Social Sciences at the University of Cologne. Her research focuses on inventory optimization for perishable products and behavioral operations management. Anna-Lena Sachs studied business administration at the University of Mannheim, Germany and completed her PhD at TUM School of Management.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book addresses the challenging task of demand forecasting and inventory management in retailing. It analyzes how information from point-of-sale scanner systems can be used to improve inventory decisions, and develops a data-driven approach that integrates demand forecasting and inventory management for perishable products, while taking unobservable lost sales and substitution into account in out-of-stock situations. Using linear programming, a new inventory function that reflects the causal relationship between demand and external factors such as price and weather is proposed. The book subsequently demonstrates the benefits of this new approach in numerical studies that utilize real data collected at a large European retail chain. Furthermore, the book derives an optimal inventory policy for a multi-product setting in which the decision-maker faces an aggregated service level target, and analyzes whether the decision-maker is subject to behavioral biases based on real data forbakery products. 132 pp. Englisch. N° de réf. du vendeur 9783319133041
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a data driven approach that integrates demand forecasting and inventory managementPresents an optimal inventory policy for a multi-product newsvendor setting with an aggregated service level targetIncludes several analyses of . N° de réf. du vendeur 4499397
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Taschenbuch. Etat : Neu. Retail Analytics | Integrated Forecasting and Inventory Management for Perishable Products in Retailing | Anna-Lena Sachs | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | xvii | Englisch | 2014 | Springer | EAN 9783319133041 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. N° de réf. du vendeur 105040512
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