Reduce Maintenance Costs thru Predictive Analytics

The aviation industry is grasping for opportunities to reduce costs. Big data has been making headlines in several industries, promising to revolutionize the way in which businesses are able to make decisions. One of the sectors slated to benefit from the use of big data, and associated analytics, is the aviation industry. As new aircraft generate more in-flight data compared to older ones, innovative analysis methods summarized. Last studies show a reduction of maintenance budgets by 30 to 40% if a proper implementation is undertaken.by Big Data Analytics enable the processing of large amounts of data in short amount of time.

Maintenance using Predictive Analytics can be described as “the intelligent way to maximize machine availability”. With the right information in the right time it is possible to determine the condition of in-service equipment in order to predict when maintenance should be performed. As a result, it is possible to conveniently schedule corrective maintenance actions, preventing equipment failure.

Over the last several years data generated by aircraft has increased exponentially thru introduction of new onboard equipment that allows for the so-called connected aircraft. In the wake of this data growth OEM’s and airlines have shown increased interest in data analytics and predictive maintenance.

According to the MRO survey 2017 by Oliver Wyman 77% of respondents want to implement predictive maintenance in the coming three years. The MRO survey 2017 by Aircraft IT confirms this trend as most respondents answered that next to paperless maintenance predictive maintenance will play a major role in the development the upcoming years.

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