Abstract : The supply chain coordination has abstracted more and more attention from industries and academics. This paper studies a Bayesian combination forecasting model to integrate multiple forecasting resources and coordinate forecasting process among partners in retail supply chain. The simulation results based on the retail sales data show the effectiveness of this Bayesian combination forecasting model to coordinate the collaborative forecasting process. This Bayesian combination forecasting model can improve demand forecasting accuracy of supply chain.
Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.246-252, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_25〉
https://hal.inria.fr/hal-01350930
Contributeur : Hal Ifip
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Soumis le : mardi 2 août 2016 - 11:27:11
Dernière modification le : mercredi 3 août 2016 - 01:03:50
Document(s) archivé(s) le : jeudi 3 novembre 2016 - 18:00:49
Dengmei Qiu, Wenjie Wang. A Combining Forecasting Modeling and Its Application. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.246-252, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_25〉. 〈hal-01350930〉
