Why traditional approaches to quality control measurement data leave too much room for error
There are many reasons why manufacturers need to collect accurate, timely and complete measurement and inspection data. OEE, Lean and Six Sigma initiatives require trustworthy data to support the best quality control practices. Manufacturers, especially those in industries such as medical, biomedical, aerospace and defense, must often meet regulatory requirements and provide traceable, reliable documentation for critical part manufacture.
Data collection systems of the past share common limitations, including:
POTENTIAL FOR HUMAN ERROR AND DELAY
Systems that ask workers to manually track key measurements require extremely precise attention to detail, exercised many dozens or even hundreds of times in a single shift – all which is often difficult and unrealistic to consistently do, even if it is being done in the first place. Education is another issue — employees may not have the background needed to fully understand and accurately collect and transcribe data. Transposed digits, misplaced decimal points and similar issues can commonly occur. Additionally, an employee may need to halt production work to capture and record measurements, reducing overall productivity.
DIGITAL SECURITY ISSUES
Unsecured networks that are used to transmit measurement data can provide inroads for hackers to gain more general access to a company’s data. When measurement data is transmitted without the proper digital security measures, it presents a potentially serious security risk.
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