Business analytics on AIS data: Potentials, limitations and perspectives
Tina Scheidweiler and
Carlos Jahn
A chapter in Digital Transformation in Maritime and City Logistics: Smart Solutions for Logistics, 2019, pp 342-368 from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management
Abstract:
Purpose: As maritime digitalization progresses, great opportunities for maritime transport arise: the introduction of the AIS opened up a number of possibilities and perspectives for increasing efficiency, automation and cost reduction using business analytics and machine learning in the supply chain and maritime sector
Keywords: Business; Analytics; Maritime; Traffic (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.econstor.eu/bitstream/10419/209398/1/hicl-2019-28-342.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:zbw:hiclch:209398
DOI: 10.15480/882.2503
Access Statistics for this chapter
More chapters in Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL) from Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().