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Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering

Corey Ducharme, Bruno Agard and Martin Trépanier

Article (2024)

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Additional Information: Groupe de recherche: Laboratoire en Intelligence des Données
Department: Department of Mathematics and Industrial Engineering
Research Center: Other
CIRRELT - Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation
PolyPublie URL: https://publications.polymtl.ca/57794/
Journal Title: Journal of Forecasting
Publisher: Wiley
DOI: 10.1002/for.3095
Official URL: https://doi.org/10.1002/for.3095
Date Deposited: 28 Mar 2024 15:20
Last Modified: 05 Apr 2024 12:05
Cite in APA 7: Ducharme, C., Agard, B., & Trépanier, M. (2024). Improving demand forecasting for customers with missing downstream data in intermittent demand supply chains with supervised multivariate clustering. Journal of Forecasting, 3095 (21 pages). https://doi.org/10.1002/for.3095

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