Every decision has a large impact on cost and reliability, and there is a constant trade-off that has to be managed for every planning disruption. A vessel delay, for instance, has ripple effects on the carrier network and terminal berth plan, making it exceedingly complex to make a decision that takes everything into account.
To determine the best sets of decisions, Portchain has developed our own proprietary mixed-integer programming models and algorithms, based on mathematical optimization. To help solve these models as fast as possible, we rely on Gurobi®, a best-in-class mathematical programming solver.
To make good decisions it is crucial to have accurate information. Planning teams in shipping need to analyze large amounts of data from many sources subject to a high degree of uncertainty.
At Portchain we use machine learning to sift out irrelevant data. Planning teams only see the metrics and information they need, enabling them to predict operations more accurately.