5. HUBERT HOFFMAN, CIO & CDO
• Platform
• Transparency
• Information available for all parties
• Late or early, is harbour ready?
• End user goods tracking
• Challenges
• Different tools
• Different training
• No info sharing
• Considered a competitive advantage
MSC GERMANY
6. MARK O’NEILL, CEO
• Reduce OPEX 25 -30% over next 5 years to stay
relevant
• Look and feel is very important
• If the don’t get it, they’re not going to buy it.
• If your clients are not there then it’s no use.
Help clients get there.
• No rush to digitalise, don’t run with the sheep
• Have a good proces first and digitalize that, not
the bad ones.
COLUMBIA MARLOW HOLDING LTD GROUP
7. ULF SIWE, SEA TRAFFIC MANAGEMENT
• Platform
• Transparency, information, efficiency
• Route information, port collaboration, ship
reporting
• Control who you share with
• Shipping is 90% of goods transport
• Power to make standards
• Internet of services
• Scandinavia is a test bed
SWEDISH MARITIME ADMINISTRATION
“ICE ROUTES SENT
FROM SHORE TO
SHIP TAKES 30
MINS TO PLOT INTO
YOUR SYSTEM.”
8. SUN WU, DEPUTY GENERAL MANAGER
1. Decision support
2. Partial autonomous
3. Remote + autonomous + supervised on board
4. Remote + autonomous + supervised on shore
5. Fully autonomous
CHINESE CLASSIFICATION SOCIETY
“A classification society
(however called) is a non-
governmental
organization that
establishes and maintains
technical standards for
the construction and
operation of ships and
offshore structures.”
-Wikipedia
Steps of autonomous shipping
Steps 4. and 5. are usually considered the same.
9. SUN WU, DEPUTY GENERAL MANAGER
1. Traditional legislation is valid
2. Traditional legislation is valid, competence of
responsible
3. Most of legislation is invalid. Minimum manning and
competence, assistance in distress/pilotage, engine
breakdowns?
4. Same as 3. Navigation in other territorial waters.
How to avoid collision with manned ships?
CHINESE CLASSIFICATION SOCIETY
“China will deploy
first autonomous
vessels in 2021”
Considerations for each step
Liability:
Main actor should be liable.
(Owner, User, Manufacturer)
Cyber security:
New insurance products needed.
10. KOHEI MATSUO, PROJECT DIRECTOR R&D
NATIONAL MARITIME INSTITUTE OF JAPAN
“In 2050 there will
be a fragmented ship
base of both
autonomous and
manned vessels.”
• How to communicate with big data? AR, VR?
• Composites to replace steel
• Embedded electronics and sensors
• 3D printing and microfactories
• Fault recognition to computer vision
• Robotics around the ship
• Last mile delivery to drones
• Normal and underwater
• From zero emission to non negative environmental effect
11. CHRISTIAN ROELOFF, MANAGING DIRECTOR
CONTAINER XCHANGE
“Alibaba will be
a big player in value
chain
reorchestration”
• Platform
• Deconstruction to specialised services.
• Winners will be companies with access and
ability to use multiple platforms.
12. MIKKO LEPISTÖ, DIRECTOR OF SOFTWARE AND AUTOMATION OPERATIONS
ABB MARINE AND PORTS BUSINESS
“Electric, digital and
connected”
• Platform
• Standards
• Ecosystems
• Scaling up electric vessels
13. PIERRE SAMES, DIRECTOR OF MARITIME TECHNOLOGY
DNV GL
“Sharing or not
sharing is a major
limiting factor of
adopting.”
• Digital Twins
• Every asset will have a digital twin
• Layered Digital Twins
• “Design” Twin
• “Operation” Twin
• “Production” Twin
• “System” Twin
• “Ship Hull” Twin
• “Probabilistic” Twin
• AI limitations:
• False identifications
• Noise can significantly affect
• Responsibility question
• Should every update be tested?
• What about self learning?
Open Simulation Platform
Launch mid 2020
14. NICK DANESE, CEO
NDAR
“Winners will be
plug and players.
Those who seek
partners.”
• Platforms, interact with data
• Information to people (UX)
• Data & application swarms
• Synchronicity in the shipyards
• 3D printing
• Large ships not fully electric soon, hybrids
probably future
15. NICK DANESE, CEO
NDAR
“Size of the vessel is
not important but
availability of goods
is important.
Flexibility is key.”
• Intelligent Industry of Internet of Things and Services
• Light systems feed big systems
• How to commercialize open data structure, api,
architecture?
• Small specialized companies to cooperate with large ones
• Market for a platform for platforms
• Start by combining 2-3 platforms
Tech shift: light and available by demand (not on
demand)