Innovating together
Roland van Assche Port of Rotterdam Energy Breakfast - Houston - May 7th,2019
Innovating together Roland van Assche Port of Rotterdam Energy - - PowerPoint PPT Presentation
Innovating together Roland van Assche Port of Rotterdam Energy Breakfast - Houston - May 7th,2019 Introduction Port of Rotterdam Port of Houston Port of Rotterdam Shared issues: Shared interests Lack of information transparency
Roland van Assche Port of Rotterdam Energy Breakfast - Houston - May 7th,2019
Shared interests
current infrastructure
products, same customers Shared issues:
Closed data culture among martime industry 30% of vessels get delayed, 90% of delay cascades Outdated and inefficient means of communication still being used Lack of common accepted communication standard for data exchange Data quality is not assured Lack of timely and reliable data sharing is a root cause
nautical information at sea to supply chain information at shore
Port Call Optimization, a neutral, global, industry initiative
Rotterdam independent chair
International standards to enable data exchange (2014)
* Standards entail Master and Event data standards. Event Data and application PRONTO are covered in this presentation.
One view for all parties involved in a port call Service operations can also plan better and work more efficiently Optimization within the port and from port to port Adapt planning to increase utilization Reduce port turn around time benefits all parties involved More insights in port calls leads to higher safety level
PRONTO Port Rendezvous of Nautical and Terminal Operations PRONTO allows all parties in a port to update their starting and completion times, real time. It is a real time planning and decision support system (platform and app) for all actors in the port Enabling pro-active planning of portcalls instead of reactive
PRONTO facilitates data exchange based on standards to create a Single Point of Truth per portcall
PRONTO
Notifications Common Timeline Event hub Pronto real time dashboard (web & app)
Environmental Data
Data Science Systems
e.g. machine learning
Predicted Events Planned & Actual Events
API Event processing logic
Vessel location (AIS) Planning nautical services Planning terminals Planning vessel services Port map Ship details
Derived events generator
Planning ships Planning agent Planning nearby ports
Jetty planning visibility
Use case 1: Idle time on departure 20% reduction KPI: decrease vessel idle time on departure Zero measurement: 3.5 hrs Target: 2.5 hrs Result 2.8 hrs Approach:
data via Pronto
terminal & agent regarding ordering pilot
Involved parties: Shell, Vopak Agencies Use case 2: Delay on bunkering 100% reduction KPI: decrease vessel delay due to bunker activity Zero measurement: 19% Target: 10% Result 0% Approach:
Pronto
line/agent/Pronto to decide on actions upfront
with Pronto Involved parties: Container line, Agent
Use case benefits realized (a.o)
(20% reduction)
(5% CO2 emission reduction)
(80% phonecall reduction)
(80% phonecall reduction)
Benefit summary
Orientation Preparation Evaluation Software Development Pilot Live Duration ~ overall 35 weeks ▪ 2 weeks
▪ 6 months (tbd) ▪ 3 times 1/2 day Activity ▪ Identify needs ▪ Data requirements ▪ Pilot participants ▪ Set KPI’s / evaluation criteria ▪ Software requirements ▪ Process mapping ▪ Zero measurements ▪ Hardware preparation* ▪ Data exchange / interfaces ▪ User onboarding ▪ Pronto @ workfloor ▪ User monitoring ▪ User support ▪ Bug fixing ▪ Evaluation on KPIs ▪ Share lessons learned ▪ Next steps Roles involved (participant) ▪ Sr management ▪ Operations management ▪ Total time: ▪ Ops Manager ▪ Planner ▪ IT ▪ 8 hrs per role ▪ IT (tbd) ▪ Ops manager (8) ▪ Planners (36)
▪ Ops Manager ▪ Planner ▪ TBD ▪ Sr management (12) ▪ Ops Manager (12) ▪ Planner (12) ▪ 36 hrs
INDICTATIVE
It all starts with a coalition of the willing
Key Lessons learned
Start small to
Then scale fast
Business/legal alignment on data exchange = critical
Operator KPIs ≠ Management KPIs; you need to cater for both