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