Leveraging interpretable machine learning to identify root causes of damages in a grocery delivery supply chain

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Keywords	binary classification, predictive maintenance, machine learning, interpretable machine learning
Thesis Advisor	Loke, Gar Goei, Rooderkerk, Robert
Persistent URL	hdl.handle.net/2105/63450
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
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	van der Scheer, Henrick. (2022, July 5). Leveraging interpretable machine learning to identify root causes of damages in a grocery delivery supply chain. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/63450

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