port analytics solution - machine learning

Port Analytics

1. Port Analytics Solution
April 25
th
, 2019

2. Analytics Mature Curve

3. Architecture of Port Analytics
Data Sources
Source 1
Integration Presentation
Source 2
Pentaho
Data
Integration
Advanced
Analytics
Machine
Learning
Data
Warehouse
DWH
Source 3
Mobile
Devices
Web Browsers
Business
Intelligence
Data Mart
Data Mart
Big Data
Data Lake

4. Port Analytics Use Case
Optimizing Usage
•optimize performance time
•optimize result
Preventive Maintenance
•pre-empting the catastrophic effects
•improve service
Accurate Predictions
•reduce waiting time
•increase customer satisfaction

5. Optimizing Usage
Tools and operators are working
in different speed. While vessels
docking at port might vary in
cargo size. Not to mention other
factor might influence, e.g.
weather. With the help of IOT
tool to read crane position,
status, GPS position signals of
trucks, could sync movement of
trucks and containers to reduce
idling time.
s
Understanding such patterns
makes it possible to either
find solutions to overcome the
roadblocks, or sync
operations to factor such
limitations, ultimately
enhancing productivity

6. Preventive Maintenance
Harvestingoperationaldata
fromsensorsplacedinside
machinesmakesitpossibleto
predictwhenapartmightfail,
pavingwayforamoreeffective
maintenancescheduleas
opposedtofollowingthe
maintenance schedule
recommended by the
manufacturer.
Such an approach allow for
timely replacements, pre-
empting the catastrophic
effects, including spoil over
effects of disruption of
operations caused by
machinery breakdown or parts
failure, and result in significant
direct and indirect savings.

7. Accurate Predictions
Createprojectiononwhena
containerwillbeavailablefor
pickup.
Thisprimarilyhelpsthetrucking
companytoreceiveinformation
somecoupledaysinadvance,
notrequiringtocontinually
checkbackapplicationto
confirmcontaineravailability
andthenmakeanappointment.
Thiswillincludeincomplete
trackinginformationprovidedfor
customer.
Forexampleinwhatvesselit's
shipped,vessel'sposition,
vessel'sstatus,howmanytimes
neededforunloadingprocess,
predictionwhenthecargoready
topick.