Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/50078

A Similarity-Based Approach for the All-Time Demand Prediction of New Automotive Spare Parts

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Title:A Similarity-Based Approach for the All-Time Demand Prediction of New Automotive Spare Parts
Authors:Steuer, Daniel
Hutterer, Verena
Korevaar, Peter
Fromm, Hansjoerg
Keywords:Service Analytics
0
Date Issued:03 Jan 2018
Pages/Duration:8 pages
URI/DOI:http://hdl.handle.net/10125/50078
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.191
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Service Analytics


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