To ensure competitive differentials, meeting estimated customer service levels, and better management of stocked items, contemporary organizations apply demand forecasting methods that take into account historical data for future short- and medium-term planning. The objective of this study consisted in an applied analysis of demand forecast tools at a retail foodstuff unit. To define the methodology with best adherence in the case study, one initially used the selection of items for the study. To define the items that belong to the basic food basket, the ABC curve method calculations were conducted with the help of the Microsoft Excel tool, as per table 5, whereby the variables price, quantity sold, cost of goods sold and profitability were utilized. The historical data of this study was extracted by the supermarket ERP software called FDC Market. Based on the data obtained during the research it can be concluded that the weighted moving average methodology obtained satisfactory results with lower absolute error averages.
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Josinaldo Dias é Doutor em Engenharia e Ciência dos Materiais, Mestre em Engenharia de Produção e Professor associado ao Departamento de Engenharia de Produção.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -To ensure competitive differentials, meeting estimated customer service levels, and better management of stocked items, contemporary organizations apply demand forecasting methods that take into account historical data for future short- and medium-term planning. The objective of this study consisted in an applied analysis of demand forecast tools at a retail foodstuff unit. To define the methodology with best adherence in the case study, one initially used the selection of items for the study. To define the items that belong to the basic food basket, the ABC curve method calculations were conducted with the help of the Microsoft Excel tool, as per table 5, whereby the variables price, quantity sold, cost of goods sold and profitability were utilized. The historical data of this study was extracted by the supermarket ERP software called FDC Market. Based on the data obtained during the research it can be concluded that the weighted moving average methodology obtained satisfactory results with lower absolute error averages. 56 pp. Englisch. Bestandsnummer des Verkäufers 9786204077796
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. To ensure competitive differentials, meeting estimated customer service levels, and better management of stocked items, contemporary organizations apply demand forecasting methods that take into account historical data for future short- and medium-term plan. Bestandsnummer des Verkäufers 508335064
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -To ensure competitive differentials, meeting estimated customer service levels, and better management of stocked items, contemporary organizations apply demand forecasting methods that take into account historical data for future short- and medium-term planning. The objective of this study consisted in an applied analysis of demand forecast tools at a retail foodstuff unit. To define the methodology with best adherence in the case study, one initially used the selection of items for the study. To define the items that belong to the basic food basket, the ABC curve method calculations were conducted with the help of the Microsoft Excel tool, as per table 5, whereby the variables price, quantity sold, cost of goods sold and profitability were utilized. The historical data of this study was extracted by the supermarket ERP software called FDC Market. Based on the data obtained during the research it can be concluded that the weighted moving average methodology obtained satisfactory results with lower absolute error averages.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Bestandsnummer des Verkäufers 9786204077796
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - To ensure competitive differentials, meeting estimated customer service levels, and better management of stocked items, contemporary organizations apply demand forecasting methods that take into account historical data for future short- and medium-term planning. The objective of this study consisted in an applied analysis of demand forecast tools at a retail foodstuff unit. To define the methodology with best adherence in the case study, one initially used the selection of items for the study. To define the items that belong to the basic food basket, the ABC curve method calculations were conducted with the help of the Microsoft Excel tool, as per table 5, whereby the variables price, quantity sold, cost of goods sold and profitability were utilized. The historical data of this study was extracted by the supermarket ERP software called FDC Market. Based on the data obtained during the research it can be concluded that the weighted moving average methodology obtained satisfactory results with lower absolute error averages. Bestandsnummer des Verkäufers 9786204077796
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Taschenbuch. Zustand: Neu. Time Series: An Applied Study | Collection | Josinaldo Dias | Taschenbuch | Englisch | 2021 | Our Knowledge Publishing | EAN 9786204077796 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 120550012
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