Traditionally, container terminals have used crane productivity as a KPI for terminal productivity management. Lately, however, with vessels growing in size, shipping companies are strongly demanding vessel productivity improvement of terminals.
And since terminals are working with their focus on improving vessel productivity, now the overall efficiency has downgraded with terminals, thus leading to earnings shortfall. When productivity improvement for an entire terminal should take considering not only berth productivity, but also yard and gate productivity, this hasn’t been done properly. To address the problem, terminals have deployed various methods to measure or analyze the efficiency of a terminal, but it is not so easy to find instances in which a company goes beyond focusing on simple productivity that refers to the number of containers handled by the hour and calculating and analyzing an overall performance of a container terminal.
A few terminals that have recently realized process automation calculate and manage a new KPI as container terminal performance measures, which is exemplified by the indicators related to yard tractor as shown below.
- Number of Fleet
- Yard Tractor Productivity
- Driving Speed
- Driving Distance
- Turn Time Breakdown (waiting/empty driving/loaded driving/job execution etc)
- Fuel mileage
To be specific, it calculates the number of operational vehicles, travel distance, travel speed, and time required for different job steps, which are factors that influence the productivity of ship-to-shore (STS) container cranes in container terminal operation. These indicators are analyzed by type of container handling (e.g., loading/discharging/housekeeping, single/twin etc.) and are used to measure and manage the efficiency of a yard tractor. With this, a smaller number of yard tractors can be deployed while maintaining the productivity of STS container cranes, or the same number of yard tractors can be operated while registering higher productivity for STS cranes.
Like this, the previous type of terminal operating system alone cannot realize a stereoscopic management of terminal performance that takes into consideration the two aspects of productivity and efficiency.
It’s because TOS cannot figure out accurate information related to the location and operation of equipment in a terminal. Therefore, a container terminal operating system must add to TOS such accurate devices and software as can track terminal vehicles and containers, along with know-how and tools that can manage and analyze the big data generated in the container tracking.
Eagle Eye, the container terminal operating system measuring performance effectively
Posted by In-Chon Park, a Business Analyst who has investigated container terminal market for several years and conducted TOS projects recently.
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