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Retail Analytics : Integrated Forecasting and Inventory Management for Perishable Products in Retailing / / by Anna-Lena Sachs



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Autore: Sachs Anna-Lena Visualizza persona
Titolo: Retail Analytics : Integrated Forecasting and Inventory Management for Perishable Products in Retailing / / by Anna-Lena Sachs Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Edizione: 1st ed. 2015.
Descrizione fisica: 1 online resource (126 p.)
Disciplina: 330
519.6
658.40301
658.5
658.81
Soggetto topico: Production management
Operations research
Decision making
Management science
Sales management
Operations Management
Operations Research/Decision Theory
Operations Research, Management Science
Sales/Distribution
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references.
Nota di contenuto: Introduction -- Literature Review -- Safety Stock Planning under Causal Demand Forecasting -- The Data-Driven Newsvendor with Censored Demand Observations -- Data-Driven Order Policies with Censored Demand and Substitution -- Empirical Newsvendor Decisions under a Service Contract -- Conclusions.
Sommario/riassunto: 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 for bakery products.
Titolo autorizzato: Retail Analytics  Visualizza cluster
ISBN: 3-319-13305-5
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910298493203321
Lo trovi qui: Univ. Federico II
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Serie: Lecture Notes in Economics and Mathematical Systems, . 0075-8442 ; ; 680