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- W2367720132 abstract "This paper aims to deal with the problems such as high costs,low benefits which are caused by low usage of all kinds of resources in the 3rd part logistics.Thus an idea of forecasting merchandise demands has been put forward to arrange all kinds of resources ahead of schedule to improve the efficiency.With regard to the shortage of history data of logistics companies and their merchandises,the GM(1,1) is employed to forecast year and month merchandise demands for its less requirement on data.Its feasibility is validated by an example and a comparison with other forecasting algorithms.Finally the application of the algorithm is demonstrated in the intelligent information collaboration platform of Hangzhou Furi Logistics Co.Ltd." @default.
- W2367720132 created "2016-06-24" @default.
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- W2367720132 date "2006-01-01" @default.
- W2367720132 modified "2023-09-23" @default.
- W2367720132 title "Forecasting Merchandise Demands with Grey Model and its Application in the 3~(rd) Part Logistics" @default.
- W2367720132 hasPublicationYear "2006" @default.
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