Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing (Lecture Notes in Economics and Mathematical Systems, Band 680) - Softcover

Buch 113 von 126: Lecture Notes in Economics and Mathematical Systems

Sachs, Anna-Lena

 
9783319133041: Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing (Lecture Notes in Economics and Mathematical Systems, Band 680)
Softcover
ISBN 10: 3319133047 ISBN 13: 9783319133041
Verlag: Springer, 2014

Inhaltsangabe

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.

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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.

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Verlag
Springer
Erscheinungsdatum
2014
Sprache
Englisch
ISBN 10 
3319133047
ISBN 13 
9783319133041
Einband
Taschenbuch
Anzahl der Seiten
132
Kontakt zum Hersteller
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Darmstadt
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9783319133065: Retail Analytics: Integrated Forecasting and Inventory Management for Perishable Products in Retailing

Vorgestellte Ausgabe

ISBN 10:  3319133063 ISBN 13:  9783319133065
Verlag: Springer, 2015
Softcover