Project "ARCA" - Automated Real-Time Classification in Aerospace Maintenance, Repair, Overhaul & Logistics market

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There are significant challenges and costs in Maintenance, Repair and Overhaul & Logistics(MRO&L) in terms of identifying and resolving issues quickly leading to significant cost,delays and ultimately safety. This is due to a number of factors: increasing complexity ofsystems, interrelatedness of distinct issues and nature of the data collected which is big, dirtyand disparate. Getting to the root cause of an issue can save time and money and can havesignificant impact for companies involved.Warwick Analytics has been approached by several companies to look at No Fault Foundissues in the aerospace. WA has had some success but has encountered particular problemswith data which, whilst applicable to other industries, are particularly problematic in theaerospace industry.MRO&L data is generally collected manually either written or through computer forms.However the data are often semantically incorrect due to different interpretations of aproblem. Whilst intentions are good, it can make it difficult to get to the root cause of issues.Commonly, the data has to be reinterpreted/classified by hand so that it can then be used infurther.This Proof of Concept project will create a new specialist concept tool to convert syntacticallycorrect but semantically incorrect data to help resolve the root cause of the issue in real-time,ultimately leading to cost effective solutions in MRO&L to enable predictive and preventativemaintenance. This will apply to NFFs which are generally the most challenging issues to rootcause.