Supply Chain Collaborative Forecasting Modeling

Wenjie Wang (), Qi Xu (), Changchun Gao () and Xiaodong Liu ()
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Wenjie Wang: Donghua University
Qi Xu: Donghua University
Changchun Gao: Donghua University
Xiaodong Liu: Donghua University

A chapter in LISS 2014, 2015, pp 317-322 from Springer

Abstract: 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.

Keywords: Supply chain coordination; Collaborative forecasting method; Bayesian combination forecasting model (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_47

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DOI: 10.1007/978-3-662-43871-8_47

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