Options
Data mining and fault tolerance in warehousing
Citation Link: https://doi.org/10.15480/882.1464
Publikationstyp
Conference Paper
Date Issued
2017-10
Sprache
English
TORE-DOI
First published in
Proceedings of the Hamburg International Conference of Logistics (HICL);23
Number in series
23
Start Page
215
End Page
232
Citation
Digitalization in supply chain management and logistics
Contribution to Conference
Publisher Link
Publisher
epubli
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.
Subjects
materials flow system
data mining
fault tolerance
survey
DDC Class
330: Wirtschaft
Loading...
Name
reining_bousbiba_jungen_hompel_data_mining_hicl_2017.pdf
Size
109.78 MB
Format
Adobe PDF