Dieses Dokument steht unter einer CreativeCommons Lizenz by-sa/4.0
Verlagslink: https://www.epubli.de/shop/buch/2000000069144
Titel: Influence of patterns and data-analytics on production logistics
Sprache: en
Autor/Autorin: Kormann, Benjamin 
Altendorfer-Kaiser, Susanne 
Herausgeber: Kersten, Wolfgang 
Blecker, Thorsten 
Ringle, Christian M. 
Schlagwörter: knowledge discovery in database;data analytics;process model;supply chain analytics
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): The flow of information is an essential part of Industry 4.0, as more reliable process data is available and subsequent hardware changes provide for processing power to enable large-scale data analysis. Due to the fact that most data analytics and big data frameworks presume that Data-Mining- and Data-Analytics-Activities are conducted in form of projects, this paper focuses on the integration of data analytics and data mining into operational processes and the resulting consequences of the organization. Therefore a framework to implement data analytics workflows in production logistics to improve decision-making and processes is presented. By integrating data analytics workflows in production logistics applying the presented framework, more resources can be devoted to proactively discover and counteract possible bottlenecks or constrictions instead of resorting to firefighting and taskforce-activities. The methodology to derive such framework consists of developing and implementing data analytics use-cases along the supply chain in production logistics according to current big-data and data-analytics frameworks in cooperation with a large automotive supplier and modifying current frameworks and approaches to fit the company’s requirements.
URI: http://tubdok.tub.tuhh.de/handle/11420/1463
URN: nbn:de:gbv:830-88217578
DOI: 10.15480/882.1460
ISBN: 978-3-7450-4328-0
ISSN: 2365-5070
Dokumenttyp: InProceedings (Aufsatz / Paper einer Konferenz etc.)
Enthalten in den Sammlungen:tub.dok

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat 
kormann_altendorfer-kaiser_patterns_data-analytics_hicl_2017.pdfInfluence of Patterns and Data-Analytics on Production logistics643,96 kBAdobe PDFMiniaturbild
Öffnen/Anzeigen
Zur Langanzeige

Seitenansichten

43
Letzte Woche
11
Letzten Monat
checked on 11.12.2017

Download(s)

25
checked on 11.12.2017

Google ScholarTM

Prüfe

Altmetric


Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.