Data Analysis Continual Improvement Procedure AS9100 | AQP1200
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Aerospace Data Analysis Continual Improvement Procedure AS9100
The Data Analysis Continual Improvement Procedure AS9100 demonstrates the ongoing effectiveness of the company’s QMS. The procedure also determines where quality improvements can be made. It applies to the Quality Management System. (4 pages, 769 words)
Data Analysis Continual Improvement AS9100 Responsibilities
The Quality Assurance Manager is responsible for ensuring that QMS measurement data is analyzed.
Quality Management is responsible for analyzing data using appropriate techniques and reporting measurement data at periodic Management Reviews.
Department Managers are responsible for producing and using process monitoring and measuring data for the purpose of continually improving the Company’s QMS.
Data Analysis Continual Improvement AS9100 Definition
Control charts – Output of Statistical Process Control (SPC) calculations that derive the process variability from the mean to detect special cause variation.
Deming Cycle – The process-based improvement cycle, also known as the “Plan-Do-Check-Act” cycle, used or referred to in various quality standards (including AS9100).
Pareto diagrams – Histogram chart method that ranks data high to low to separate the vital few from the trivial many. Also know as the 80/20 rule.
Special cause variation – Product/process variation, caused by an unusual or unexpected event that can be determined. Not random.
Trend or run charts – chart method that plots process output over time.
- Aerospace Data Collection
- Data Analysis
- Continual Improvement
- AS9100:2016 Rev D, “Quality Management Systems – Requirements for Aviation, Space, and Defense Organizations”, SAE International, Sept., 2016.
- Quality Procedures