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Autor: Mathias Knollmann

Data Mining Methods in Production Logistics

Data Mining Methods in Production Logistics

Wissensgenerierung beim Umgang mit komplexen Daten und multikriteriellen Entscheidungen
Mathias Knollmann, Mirja Meyer, Katja Windt
Today’s standard information technologies in production logistics allow the storage of large data sets that have a huge variety of different parameters. The also increased complexity of production processes leads to complex dependencies between different decisions variables. Therefore, this paper deals with the application of computer-based methods of analysis for the efficient evaluation of multi-criteria dependencies.
Industrie Management | Volume 28 | 2012 | Edition 3 | Pages 51-55
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