port analytics solution - machine learning
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The document discusses a port analytics solution aimed at optimizing port operations through data integration and advanced analytics. It highlights the use of IoT tools for preventive maintenance and accurate predictions, which improve performance, reduce waiting times, and enhance customer satisfaction. By leveraging operational data, the solution allows for better scheduling and tracking of container availability, ultimately increasing productivity and reducing costs.
port analytics solution - machine learning
- 1. Port Analytics Solution April 25th, 2019
- 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 Harvesting operational data from sensors placed inside machines makes it possible to predict when a part might fail, paving way for a more effective maintenance schedule as opposed to following the 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 Create projection on when a container will be available for pick up. This primarily helps the trucking company to receive information some couple days in advance, not requiring to continually check back application to confirm container availability and then make an appointment. This will include in complete tracking information provided for customer. For example in what vessel it's shipped, vessel's position, vessel's status, how many times needed for unloading process, prediction when the cargo ready to pick.