Easy Tool to Streamline Port and Container Yard Operations
The tool allows you to build a 3D analytical, to-scale & animated model of your real-life port and container yard operations – and evaluate the impact of changing operational parameters or conditions on the virtual system. You can play around with various parameters – equipment, personnel and resources, or process conditions and behaviour – and visualize the results in a graphical representation.
Multiple parameters or conditions can be changed in the model to check not only the behaviour of the system – but also what quantum of change will give how much change and hence what is the optimal change and arrive at the optimal combination. The tool can represent any size or level of detail from manual operations to fully automated lines.
How is this different from BI?
Business Intelligence (BI) performs a static analysis based on averages of historical data – which needs to be collected over a period of time. On the other hand, this 3D animation tool is dynamic over time and can take into account the variability in various operational and environmental factors. So the output from the tool will show fluctuations over time, which gives a more realistic picture. Additionally, it incorporates a far greater level of detail, which is not possible in BI.
How is this tool useful?
The 3D animated tool can effectively provide answers to the operational needs and challenges of ports and container yards:
- Ship turn-around time
- Crane utilization & requirements
- Impact of crane breakdown / maintenance
- Trucks needed to transfer containers between the yard and the port
- Yard capacity in terms of throughput
- Storage & retrieval rules in the yard
- Impact of truck logistics on entry & exit gates, roads, etc.
- Analysis of equipment & storage capacity for future volumes
The tool can be used to create an accurate 3D model of the port’s and container yard’s real-life operations and visualize future states of the system – in relation to variable parameters – and thus arrive at an optimal decision.