2 audit analysis (q-pulse ) phil flack & gary lathey airworthiness surveyor & operations...

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Audit Analysis(Q-Pulse )

Phil Flack & Gary LatheyAirworthiness Surveyor & Operations Manager

28th October 2015

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Introduction

How we manage data from our Part-145 oversight audits.

The Recording,Analysis,Utilisation,

of Non-Conformances (Findings).

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Recording of Non-Conformances (Findings)

Use of paper checklists.Tablets.Laptops.

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Surveillance Report

Created from a

Non-Conformance.

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Non-Conformance (Findings)

Data from your Submissions

Drop down menu.

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Standard Drop Down Data

Drop down menu.

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Analysis of Part 145 Data.

Review covers the 12 month period from; 1st October 2014 to 30th September 2015.

Analysis of the oversight of Part -145 Approvals,

UK.145. ……. Utilises Findings data arising from audit activities as listed in Q-Pulse.

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Total Number of Part-145 Findings

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Part-145 Findings (Standard) Breakdown

Part-145 (Paragraphs).

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Part-145.A.65 Procedures and Quality

Part-145.A.65(c).Quality System

Part-145.A.65(b). Procedures

Part-145.A.65(a). Safety & Quality

Policy

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Part-145.A.30 Personnel RequirementsPart-145.A.30(e). Competence of

Personnel

Part-145.A.30(d). Manhour Plan

Part-145.A.30(f). Non Destructive

Testing

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Part-145.A.40 Tools and MaterialsPart-145.A.40(b).

Control & Calibration

Part-145.A.40(a). Availability

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Root Cause 145

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Utilisation of Non-Conformances

Performance Based Oversight, Risk and Complexity Picture. Highlight common trends across wider regulation Approvals spectrum (Part-21G, Part-M, Part-

147, etc). Further deeper analysis against Terms of Approval (C1, C2, etc Ratings). Information from analysis used to enhance our oversight activity. EASA Regulation change. Targeted campaign, Information Notices. Review Surveyor performance.

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Summary

Insight into how we collect and process Findings. Provide an overview of how we may analyse this data. Use this data to promote change.

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Conclusion (Thoughts for the day)

So what does your Quantity System analysis tell you about your organisation? Do you always have areas with nil Findings, is this a positive out come or do you need to look

deeper? Are you accurately determining the Root Cause of Findings and providing appropriate

mitigation? How do you promote the benefits of a robust Quality System?

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Any Questions?