Sprache: Englisch
ISBN 10: 3030212653 ISBN 13: 9783030212650
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 88,45
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In den WarenkorbPaperback. Zustand: Brand New. 2015 edition. 150 pages. 9.00x6.00x0.25 inches. In Stock.
Taschenbuch. Zustand: 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.
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.