Dieses Dokument steht unter einer CreativeCommons Lizenz by-sa/4.0
Verlagslink: https://www.epubli.de/shop/buch/2000000069144
Titel: Data mining and fault tolerance in warehousing
Sprache: en
Autor/Autorin: Reining, Christopher 
Bousbiba, Omar 
Jungen, Svenja 
Ten Hompel, Michael 
Herausgeber: Kersten, Wolfgang 
Blecker, Thorsten 
Ringle, Christian M. 
Schlagwörter: materials flow system;data mining;fault tolerance;survey
Erscheinungsdatum: Okt-2017
Verlag: epubli
Quellenangabe: Digitalization in supply chain management and logistics
Serie/Report Nr.: Proceedings of the Hamburg International Conference of Logistics (HICL);23
Zusammenfassung (englisch): This paper surveys the significance of data mining techniques and fault tolerance in future materials flow systems with a focus on planning and decision-making. The fundamental connection between data mining, fault tolerance, and materials flow is illustrated. Contemporary developments in warehousing are assessed to formulate upcoming challenges. In particular, the transition towards distributed systems and the increasing data volume is examined. The significance of taking fault tolerance into account is emphasized. Ultimately, research issues are derived by conflating the previous findings. They comprise a holistic approach towards the integration of data science and fault tolerance techniques into future materials flow systems. Tackling these research issues will help to proactively harmonize the data representation to specific data mining techniques and increase the reliability of such systems.
URI: http://tubdok.tub.tuhh.de/handle/11420/1467
URN: nbn:de:gbv:830-88217628
DOI: 10.15480/882.1464
ISBN: 978-3-7450-4328-0
ISSN: 2365-5070
Dokumenttyp: InProceedings (Aufsatz / Paper einer Konferenz etc.)
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