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Smart shipping
Smart shipping is the inclusive term coined by the industry to describe the digital technologies available for determining and optimising operational efficiency. Tightening margins and the affordability and availability of computing power have met to form opportune conditions for the adoption of smart shipping: weather-routing, voyage planning, fuel consumption, emissions control and predictive maintenance are popular options for improved commercial efficiency as well as meeting new regulatory standards.
Richer data and sophisticated analysis tools will help investigate incidents and potential claims.
Senior Surveyor, a global provider of marine surveying services
It is natural for corporations to focus their resources on advances in technology and how best to employ these advances to cut costs and to increase profits, but it is important to give consideration to the legal implications and how the new technology fits within the existing contractual and legal framework.
Some warn against the possible limitations of smart shipping. For
prove invaluable in post event forensics and investigations to prevent similar recurrences, therefore contributing to improved asset availability. While recognising that fostering the necessary expertise to perform data analysis and learn from the results poses a challenge in the short-term, the general view was that climbing and overcoming this learning curve offers significant long-term benefits. As one superintendent put it, “the opportunity to deal with hard data rather than basing decisions on supposition, speculation, or gut feel will make ship management much easier.”
example, what level of credence is given to the data going into these systems, particularly if the decisions reached by such systems could impact vessel safety or the environment? Others were worried by the ability of the ‘black boxes’ to produce decisions and the potential implications on liability. Most respondents welcome the prospect of higher quality information on which to base decisions aimed at improving efficiency, reliability and safety. For instance, it was remarked that data collected in the run-up to a machinery or component failure would
Chris Metcalf, Clyde & Co, Singapore
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