2018
DOI: 10.24251/hicss.2018.191
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Abstract: The all-time demand prediction of new automotive spare parts is an area that has not received much attention in theory and practice in the past. This paper presents a new approach for tackling this important, but complex problem. The approach assumes that new parts will have similar demand patterns as comparable parts had in the past. For the study, the demand histories of 80.718 spare parts were provided from a German automotive manufacturer. In a first step, historical fullcycle demand patterns were clustere…

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