A detailed checklist for auditing measurement, analysis, and improvement processes in aerospace and defense organizations against AS9120 requirements, focusing on performance metrics, data analysis, improvement initiatives, and management review.
AS9120 Measurement, Analysis, and Improvement Audit Checklist
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About This Checklist
The AS9120 Measurement, Analysis, and Improvement Audit Checklist is an essential tool for aerospace and defense organizations to ensure compliance with the continuous improvement requirements of the AS9120 standard. This comprehensive checklist addresses key aspects of performance measurement, data analysis, and implementation of improvement initiatives within the aerospace supply chain. By utilizing this checklist, companies can enhance their ability to monitor, evaluate, and optimize their processes, leading to increased efficiency, quality, and customer satisfaction while maintaining compliance with AS9120 requirements.
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The checklist includes items to verify that appropriate performance metrics are identified and aligned with organizational objectives, customer requirements, and AS9120 standards.
It addresses methods for collecting, validating, and analyzing data from various sources, including process performance, product quality, and customer feedback, to identify trends and improvement opportunities.
The checklist includes verification of processes for planning, implementing, and monitoring improvement projects, including the use of methodologies such as Six Sigma or Lean principles.
It covers the frequency, content, and effectiveness of management reviews in evaluating performance data, improvement initiatives, and overall quality management system effectiveness.
The checklist includes items to verify the appropriate selection and application of statistical techniques for monitoring process capability, identifying variations, and implementing preventive actions.
Benefits of AS9120 Measurement, Analysis, and Improvement Audit Checklist
Ensures compliance with AS9120 measurement and improvement requirements
Improves identification and tracking of key performance indicators
Enhances data-driven decision-making processes
Reduces operational inefficiencies through systematic analysis
Facilitates continuous improvement culture across the organization