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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Supply Chain Collaborative Forecasting Modeling
verfasst von : Wenjie Wang, Qi Xu, Changchun Gao, Xiaodong Liu
Erschienen in: LISS 2014
Verlag: Springer Berlin Heidelberg
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Abstract
With cooperation among the partners, the supply chain can coordinate its operations and improve the efficiency. The cooperated partners could collaboratively forecast demand and replenish product along the supply chain under the collaborative planning framework. The collaborative forecasting method studied is based on the Bayesian combination model in this paper. The collaborative forecasting model simulation is implemented using the actual order data of a retail item shared among the supply chain partners. The collaborative model is combined with three single forecasting methods, which include the simple moving average, the exponential smoothing and ARIMA methods. The simulation results show the effectiveness of collaborative forecasting method and improvement of forecasting accuracy in the supply chain.