A Yard operation involves decision problems in order to optimize the throughput of containers. Analysis done by BI tool allows executives to understand about the yard inventory analysis by container movements’ analysis.
Executive can further analyze:
Yard Utilization: The reports generated from BI tool helps to have a real-time view and are able to track all movement and see what is happening throughout the terminal, how much queuing space is available at the yard during the non-operational and peak periods. Executives at terminal can build comparison of real-time events with historical performances and future targets, which helps in measuring productivity and keep costs under control.
Using this real-time information, executives now can quickly determine the best way to optimize the terminal through yard allocation and vessel loading plans. This enables a portfor better decision making which leads to increase in the yard productivity and usage.
Container dwell time: BI reports enable a port to easily measure and monitor dwell times and in turn improve their customers’ own logistics planning capabilities. BI tool allows a port to identify where the hold-ups are located and helps to more effectively develop strategies to reduce delays and improve efficiencies. BI reports helps in identifying and investigating the causes of unacceptable dwell and transit times so that preventive and corrective action can be taken.
Yard stack Utilization: The main objectives of this BI reports is to analyze that there are efficient use of storage space, efficient and timely transportation from quay to stack and further destination (and vice versa) and avoidance of unproductive moves.
Category stacking:- Groups containers of the same category and stacks them on top of each other.
Residence time stacking: Presumes that departure times of containers are known and stacks them on expected departure time.
Storage planning:- Specific blocks of the stack are reserved for containers before the arrival of a vessel.
Scattered planning:- Blocks are reserved based on berthing place of a vessel and stacked real-time based on a stochastically approach.
Productivity of equipments: The terminal’s investment in cargo-handling equipment is very costly, equipment utilization is an extremely important performance measure. The utilization of any item or type of equipment is defined as the proportion of time that it was effectively deployedover a specified period.
The value that is of interest is the numbers, BI reports analyze the number of container moves made per working hour, either for an individual machine or for the stock of a particular type of machine. The number of moves can be reduced from data collected.
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