Presentation by Mark van Koningsveld (Van Oord) at the Data Science Symposium 2018, during Delft Software Days - Edition 2018. Thursday 15 November 2018, Delft.

1. Data solutions for the maritime sector
Prof. dr. ir. Mark van Koningsveld

2. 150 years of creating infrastructure to meet societies demand

3. More space through land reclamations (Palm Jumeirah)

4. Dredging for global trade (Suez Canal expansion)

5. Upgrade of flood protections (Hondsbossche)

6. Offshore wind and the energy transition (Gemini)

7. Coal, bauxite, alumina, aluminium, cement and Liquefied Natural Gas (LNG)

8. In a nutshell:
• System design is a complex challenge that requires simulation to support
decision making (feedbacks make it impossible to rely on intuition /
experience to find optimum)
• Data solutions for the maritime sector need to combine water infrastructure
design (system or system element), including:
• (nautical) traffic processes
• logistical processes
• environmental conditions (natural, man made)
• Optimum is not just one rational business case (although it is generally very
important). Different stakeholders find different things important. Integral
approach is needed.
Let’s look at an example

9. Example of a logistical challenge
Reneging: The customer enters the line but decides to leave before being served.
Balking: The customer decides not to enter the waiting line.
Jockeying: The customer may move, to a shorter of faster moving queue.
Arrival rate: λ arrivals per hour
Services rate: μ services per hour
Nr of service stations

10. Example of a logistical challenge
Source: https://top.nl/megaschepen-belangrijke-boosdoener-van-congestie/

11. High water vs low water

12. Source: https://www.transport-online.nl/site/93333/binnenland/
Source: https://bouwenuitvoering.nl/varia/extreem-laagwater-duurder-voor-bouw/
Source: https://fd.nl/

13. Source: https://www.contargo.net/assets/pdf/Kleinwasser_Info-2017-NL.pdf

14. Source: https://www.contargo.net/assets/pdf/Kleinwasser_Info-2017-NL.pdf

15. Possible supply chain effects:
• Sailing speed (safety, fuel)
• Overtaking limitations
• One way traffic
• Modified lock regimes
• Closure
Source: https://www.contargo.net/assets/pdf/Kleinwasser_Info-2017-NL.pdf

17. Verdringingsreeks

18. Source: https://www.bln.nl/nieuws/2018/10/11/centraal-overleg-vaarwegen-luidt-noodklok-diepgang-waal/
OLR and OLA
• OLA: 1020 m3/s
• OLR: 2.80 m

19. Source: https://www.bln.nl/nieuws/2018/10/11/centraal-overleg-vaarwegen-luidt-noodklok-diepgang-waal/
Streef niveau: OLR maximaal 20 dagen per jaar niet gehaald
Sinds 2015: OLR gemiddeld 70 dagen per jaar niet gehaald
In 2018: OLR nu al meer dan 90 dagen niet gehaald
OLR and OLA

20. Example of a logistical challenge
Source: https://top.nl/megaschepen-belangrijke-boosdoener-van-congestie/

21. Coal, bauxite, alumina, aluminium, cement and Liquefied Natural Gas (LNG)

22. In a nutshell:
• System design is a complex challenge that requires simulation to support
decision making (feedbacks make it impossible to rely on intuition /
experience to find optimum)
• Data solutions for the maritime sector need to combine water infrastructure
design (system or system element), including:
• (nautical) traffic processes
• logistical processes
• environmental conditions (natural, man made)
• Optimum is not just one rational business case (although it is generally very
important). Different stakeholders find different things important. Integral
approach is needed.
Transforming to a data driven sector requires much better collaboration

24. DigiShape: amazing to mainstream

25. DigiShape: a coalition of the willing bringing Data Science to the Delta
25

26. In depth collaboration between organizations (regular sprint sessions)

27. Data Science in the curriculum (Ports and Waterways Coding Lab)
27

28. Data solutions for the maritime sector
Prof. dr. ir. Mark van Koningsveld