EconPapers    
Economics at your fingertips  
 

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 ().

 
Page updated 2025-03-22
Handle: RePEc:zbw:hiclch:209398