The recent Alaska Airlines incident served as a reminder of the importance of quality control in manufacturing. When such incidents occur, companies must learn from them and implement measures to prevent them.
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In a recent interview with Machine Design, Bryan Bauw, COO at Pico MES, spoke of the repercussions of such incidents, focusing on how the lessons learned can be applied to improve quality control and safety. From promptly identifying root causes to digitizing processes to track and resolve manufacturing discrepancies, the goal is to proactively prevent future issues.
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In this last of a two-part series, Bauw talks about best practices for digital integration, the role of artificial intelligence (AI) and machine learning (ML), what tools to implement and the expected return on investment as well as time to impact.
View Part One in the two-part video interview with Bryan Bauw, COO at Pico MES.