DATA-DRIVEN OPTIMIZATION TO MAXIMIZE TRUCK FLOW CAPACITY ON THE TERMINAL WITH CHANGING VESSEL SCHEDULES
How can we optimize the truck flow on the DP World Antwerp terminal and flatten the peak moments? There are multiple influencers that contribute to unpredicted peak moments, one of them being the dynamic/changing vessel schedules that collide with fixed terminal closing hours and truck visit peak moments.
To solve this problem, we need to find a full flexible solution between all actors and parties, which will require open-minded data and info sharing and process alignment.
Move to event driven aggregated data out of the various sources and visualize a dynamic end-end scheduling process between Terminal and Dispatchers.