Automatic demand forecast model selection in supply chains: a forecast value-added analysis of selection strategies, machine learning, and hyperparameter optimisation

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Journal
International Journal of Production Research
Published
2026-01-29
DOI
https://doi.org/10.1080/00207543.2026.2623194
Primary Topic
Forecasting Techniques and Applications
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article
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article

Automatic demand forecast model selection in supply chains: a forecast value-added analysis of selection strategies, machine learning, and hyperparameter optimisation

Matthieu Lauras, Raphaël Oger, Wassim Garred
International Journal of Production Research
Forecasting Techniques and Applications
article

Automatic demand forecast model selection in supply chains: a forecast value-added analysis of selection strategies, machine learning, and hyperparameter optimisation

Matthieu Lauras, Raphaël Oger, Wassim Garred
article en

Abstract

No abstract available for this paper.
International Journal of Production Research
Université Fédérale de Toulouse Midi-Pyrénées (FR), Kedge Business School (FR)
Openalex Percentile: Top 75%
Forecasting Techniques and Applications
DOISourceOpenAlex
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