GE Transportation to enhance Port of Long Beach supply chain performance
GE Transportation and the Port of Long Beach are to work together in an effort to improve cargo flow at the busiest port complex in North America.
It is hoped the pilot project will increase visibility, enhance real-time decision-making and optimize cargo movement through the Port.
The pilot will use the ‘Port Optimiser’, which GE says is cloud-based software that enhances supply chain performance and predictability by delivering real time data-driven insights through a single portal to stakeholders across the supply chain
GE says the software integrates data from across the port, combining machine learning and deep domain expertise, it helps the supply chain monitor and respond to dynamic conditions, align people and resources, and proactively communicate across functions – enabling maximum port cargo flow and delivery performance.
It is hoped the pilot will build on the success of an initiative with Port of Los Angeles, where the solution is helping to increase visibility of incoming cargo from two days to two weeks.
GE Transportation will implement the Port Optimiser solution at marine terminals, including Total Terminals International and Long Beach Container Terminal, for a two- to three-month pilot.
“We experienced record volumes last year, with an 11% increase to 7.54 million twenty-foot equivalent units, making 2017 our busiest year ever,” said Mario Cordero, Executive Director of the Port of Long Beach.
“This partnership with GE is providing an important trial for us as cargo and competition grow. We need new and innovative ways to ensure our customers can move their containers from water to land quickly, reliably and at a cost that makes sense for their business.”
Laurie Tolson, Chief Digital Officer of GE Transportation, said: “The pilot brings tremendous opportunity for the San Pedro Bay ports customers and supply chain partners.
“With container volumes on the rise, the world’s ports are moving more cargo than ever, making the need for operations optimisation even more critical.”