“The ability to predict which parts our customers will need not only gives our customers an advantage; it gives us a big one, too.”
Fort Lauderdale, FL (PRWEB)
May 08, 2017
In aviation, downtime is money. Whether it’s a plane that’s not performing any functions while waiting for a part to come in, or it’s overtime pay to get that part installed when it finally does come in, the time it takes to replace parts (from sourcing it at the right price to receiving and installing it) comes with a hefty price tag.
Predictive maintenance for the supply chain, however, is a big game changer. Predictive maintenance harnesses the power of big data to get customers the parts they need when they need them and at the price points they want. Accessing data around certain parts and aircrafts, this data-driven approach is able to predict when a part will be needed.
Clearly, it has the potential to transform the MRO supply chain. Before big data entered the picture, MRO managers were left to beg, borrow or steal to ensure the right parts were available at the right time. The goal was always to keep planes in the air and not in the repair cycle – but without a predictive understanding of which parts would need replacement and when – the goal wasn’t always achievable.
For companies who want a competitive advantage within the aviation industry, tapping suppliers who use big data gives them an edge. From keeping repair cycle time at a minimum to sourcing the best pricing for a part, reliably fast access to spare parts at competitive pricing has the potential to transform operating costs.
Exodus Aviation, a commercial aviation asset manager specializing in Airbus and Boeing parts, uses the Talend software to predict maintenance trends on specific part numbers for a given aircraft…