- AI continues to proliferate, with shipping companies to explore AI’s potential in predictive maintenance, intelligent scheduling, and real-time analytics.
- Such as container handling equipment assignments (81%), decking systems (81%), recommended actions (69%), predicting gate volumes (59%), and stowage of vessels (52%).
- K-Line has started a project to research into AI’s capabilities to improve the quality of shipping services.
- Stena Fuel Pilot AI software is able to predict the most economical route in terms of fuel consumption, weather, currents, and other variations’ potential problems.
According to an article published in Ship-Technology, the buzz around artificial intelligence continues to proliferate, with shipping companies beginning to explore AI’s potential in predictive maintenance, intelligent scheduling, and real-time analytics.
Round-up of five specific areas
Here is a round-up of five specific areas set to benefit from artificial intelligence in 2020.
Automated processes at shipping terminals
The shipping industry is growing in confidence at AI technology’s capacity to run processes at container terminals and expects it to play a big role in operations in the near future.
In a survey by Navis, 83% of respondents expect to increase their investment in AI technologies within the next three years. A large proportion of participants also agreed that AI could be involved in automating processes at terminals, such as container handling equipment assignments (81%), decking systems (81%), recommended actions (69%), predicting gate volumes (59%), and stowage of vessels (52%).
Approximately 56% said they were either trialing technologies or carrying out research into AI capabilities. However, there is some way to go yet as just 11% confirmed they were already using AI in some capacity in terminal operations.
As for what they anticipate the biggest challenge to be with AI, 68% stated that it was a lack of skills in the technology. While around a third said there was a lack of cases that had proven the advantages for business. But as the technology is still relatively new, this is hardly surprising.
Although the survey asked a relatively small pool of 60 Navis customers, this can be taken as an indication that the industry is giving serious consideration to what AI has to offer.
In a separate development, Kawasaki Kisen Kaisha (K-Line) has started a project to research into AI’s capabilities to improve the quality of shipping services. The research is being carried out in collaboration with fellow Japanese organizations Hiroshima University, Marubeni Corporation and the National Institute of Maritime, Port and Aviation Technology (MPAT). The project will use predictive models for maritime logistics and market conditions.
Reducing fuel consumption
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