Comparing Spare Parts Demand Forecasting Methods

Additional Metadata
Keywords	Spare parts demand forecasting; Performance measures; Intermittent demand; Machine learning methods
Thesis Advisor	Dekker, R
Persistent URL	hdl.handle.net/2105/70009
Series	Business Economics
Organisation	Erasmus School of Economics
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Hasani, Y. (2023). Comparing Spare Parts Demand Forecasting Methods. In Business Economics.http://hdl.handle.net/2105/70009

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