Comparing Spare Parts Demand Forecasting Methods

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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 Style AAA Style APA 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, November 28). Comparing Spare Parts Demand Forecasting Methods. Business Economics. Retrieved from http://hdl.handle.net/2105/70009

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