The ability to manage first and last-mile of the supply chain more efficiently could wind up being the difference between profit and loss. It can also lessen the environmental impact of goods transport, helping companies meet green initiatives of reduced fuel usage and lowered carbon emissions.
First and last-mile shipments can be fraught with logistical hazards and errors. Deliveries can be missed requiring a second attempt. Trucks can be driving empty after a delivery, which wastes fuel and driver time. Optimization improves the performance of transportation operations and lowers the environmental impact of shipping.
For example within intermodal operations, optimization removes the transportation inefficiencies where motor carriers leave a port with full containers bound for an importers’ facility, then make a trip back to return the empty containers– a truck travels two ways, once laden and once empty, plus the truck spends time idling at the gate. To eliminate these empty container trips, IAS facilitates street-turn opportunities where two moves are paired up to form one triangular trip.
In an optimized move, the motor carrier picks up a full import container at the port for delivery to the door destination; the cargo is unloaded and the empty container is transported directly to the export shipper; the container is filled with nearby export cargo; and the motor carrier returns the laden container to the port. One entire empty leg is removed, along with two empty gate moves at the port.
Depending on the distance between the import and export location, empty miles can be dramatically reduced. This equates to reduced emissions, fuel usage, and congestion. The principle applies to other first- and last-mile modes as well, such as the local pick-up and delivery of airfreight and less-than-truckload moves.
IAS DispatchManager and DispatchOptimizer help users reduce empty mileage and connect laden legs, shrinking fuel bills, boosting asset utilization and lessening environmental impact of landside goods transport.