Store Performance Optimization: Demand and supply side implications: Gabler Edition Wissenschaft
Autor Stefan Mohrde Limba Germană Paperback – 29 mai 2002
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Specificații
ISBN-13: 9783824476183
ISBN-10: 3824476185
Pagini: 300
Ilustrații: XIX, 277 S. 6 Abb.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2002
Editura: Deutscher Universitätsverlag
Colecția Deutscher Universitätsverlag
Seria Gabler Edition Wissenschaft
Locul publicării:Wiesbaden, Germany
ISBN-10: 3824476185
Pagini: 300
Ilustrații: XIX, 277 S. 6 Abb.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.42 kg
Ediția:2002
Editura: Deutscher Universitätsverlag
Colecția Deutscher Universitätsverlag
Seria Gabler Edition Wissenschaft
Locul publicării:Wiesbaden, Germany
Public țintă
GraduateCuprins
Store performance optimization in food retailing - Drivers of uncertainty - Product variety management - Product differentiation considering consumer choice behavior - Efficient assortment under risk - Store performance optimization strategy
Notă biografică
Dr. Stefan Mohr promovierte bei Prof. Dr. Arnd Huchzermeier am Lehrstuhl für Produktionsmanagement der WHU in Vallendar und ist als Partner bei der METRUM Managementberatung tätig.
Textul de pe ultima copertă
European retailers in the food industry are confronted with a "price war" that has been putting prices under intense pressure over the past few years. So they are permanently forced to enhance store performance by cutting down costs in each element of the supply chain. Furthermore, increasing customer requirements in terms of availability and freshness of products puts enormous pressure on a store's service performance.
Stefan Mohr analyzes the product portfolios of several food retailers in a regional market using regression models and hypothesis testing. On this basis, he develops a store performance optimization model that enables store managers to understand the key drivers of supply chain costs and provides a concept allowing to enhance the performance of their portfolio in a hybrid way, i.e. reduce costs and increase sales.
Stefan Mohr analyzes the product portfolios of several food retailers in a regional market using regression models and hypothesis testing. On this basis, he develops a store performance optimization model that enables store managers to understand the key drivers of supply chain costs and provides a concept allowing to enhance the performance of their portfolio in a hybrid way, i.e. reduce costs and increase sales.