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

在快速发现和解决导致重大成本、延误和最终安全的问题方面，维护、维修、大修和物流(MRO和L)面临着巨大的挑战和成本。这是由以下几个因素造成的：系统日益复杂、不同问题的相互关联性以及收集的数据的性质庞大、肮脏和不同。找出问题的根本原因可以节省时间和金钱，并可以对相关公司产生重大影响。华威分析公司已经与几家公司接洽，希望在航空航天领域寻找无故障基础。西澳航空公司已经取得了一些成功，但在数据方面遇到了特殊的问题，这些数据虽然适用于其他行业，但在航空航天行业尤其有问题。MRO和L的数据通常是通过书面或计算机形式手动收集的。然而，由于对问题的不同解释，数据往往在语义上不正确。虽然意图是好的，但它可能会使问题的根本原因难以找到。通常情况下，必须手动重新解释/分类数据，以便进一步使用。这个概念验证项目将创建一个新的专家概念工具，用于转换语法正确但语义错误的数据，帮助实时解决问题的根本原因，最终导致在MRO&L中获得经济高效的解决方案，以实现预测性和预防性维护。这将适用于自然生态系统，它们通常是最具挑战性的问题，无法从根本上解决。

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.