Simulating Port Berth Capacity with AnyLogic
A port authority was facing the following issues:
- the port was utilised by multiple clients and a total of 16 products passed through the port
- the shipped tonnage of all products from the port was expected to increase by 80% in the next 5 years
- there were multiple upgrade options available (eg. creation of new berths, relocation of existing, dredging)
Evans & Peck utilised a discrete event simulation modelling approach to map the port operations for a single berth.
Key benefits of the modelling tool developed include:
- the port authority was provided with a tool to manage the first steps along the upgrade path
- delays in port operations were identified which provided management with options for increasing production beyond current limits without capital expenditur.
The same decision modelling method can be applied to:
- Analysis of efficiencies in logistical operations such as transport of products from mines by road or rail to a port
- Analysis of production scheduling in manufacturing and processing industries
Model developed and published by Evans & Peck Australia.
More Case Studies
Container Terminal Throughput Evaluation with AnyLogicEvans & Peck utilised a discrete event simulation modelling approach to maximise container throughput in port terminal whilst minimising facility rehandling.
Internal Rail Logistics Simulation for the Port of Le HavreThe port of Le Havre, France, needed support for construction of new multimodal terminal. The issue that required simulation was supporting containers transfer between rail trains/river barges and other existing terminals, which transferred these containers to and from sea transport.
Evaluating Container ETA Data Flow Introduction in the Port of HamburgResearchers from the Technical University of Darmstadt, Germany, worked to identify whether the introduction of each container’s ETA would improve the situation with capacity utilization among the supply chain actors in the port of Hamburg, one of world’s top 20 ports in terms of container traffic.