Beschreibung
With supply chains interconnecting remote geographical markets via ocean transport, granular information flows are paramount. Accordingly, the Automatic Identification System (AIS) surpassed its initial grounding and collision avoidance intent and serves now as the critical enabler for digital maritime supply chains. The revision of Chapter V of the Safety of Life at Sea Convention (SOLAS) in 2002 initiated this process and mandated AIS transceivers on a significant proportion of the merchant fleet since 2004. Driven by safety concerns, AIS technology has been embraced as a means to evaluate traffic, emissions, pollution, and natural disasters. Despite that, the growing market penetration sheds light on the technological shortcomings that inhibit AIS data analytics as an instrument to digitalize maritime supply chain operations. The paper investigates prior insights about AIS applications via a qualitative and quantitative methodological design and proposes amendments to SOLAS Chapter V Reg. 19. Firstly, the authors reviewed 978 papers dealing with AIS in the context of maritime studies and identified applications as well as respective quality parameters in the field of marine safety/security, navigation, emissions/pollution, and technology. Secondly, AIS datasets sourced from a renowned bulk carrier and some public AIS data providers serve as a benchmark model to outline critical information deficits. Given problems described in literature and results from the benchmarking model raise a need for recommendations for AIS data analytics applications to foster digitalization in maritime supply chains.Zeitraum | 25 Nov. 2021 → 27 Nov. 2021 |
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Ereignistitel | International Association of Maritime Economists (IAME) 2021 Conference - 'Accelerating Transitions', |
Veranstaltungstyp | Keine Angaben |
Bekanntheitsgrad | International |
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 502017 Logistik
- 502003 Außenhandel
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