Distributed Motor Control: Design Uptime into Component Setup
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.
READ MORE: Computer Vision Transforms Production and Quality Control
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.
About the Author
Sharon Spielman
Technical Editor, Machine Design
As Machine Design’s technical editor, Sharon Spielman produces content for the brand’s focus audience—design and multidisciplinary engineers. Her beat includes 3D printing/CAD; mechanical and motion systems, with an emphasis on pneumatics and linear motion; automation; robotics; and CNC machining.
Spielman has more than three decades of experience as a writer and editor for a range of B2B brands, including those that cover machine design; electrical design and manufacturing; interconnection technology; food and beverage manufacturing; process heating and cooling; finishing; and package converting.
Email: [email protected]
LinkedIn: @sharonspielman
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YouTube: @MachineDesign-EBM