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In a recent Industry 4.0 Club livestream, our hosts of Manufacturing Future, Ira Sharp and Jan Pingel, had a fascinating discussion with Devin Bhushan, CEO at Squint. The conversation focused on a crucial yet often overlooked aspect of manufacturing intelligence: capturing human data. For years, the focus has been on installing IoT sensors and gathering machine metrics. While these efforts have delivered valuable insights into machine performance and potential issues, they only tell part of the story.
To truly unlock productivity, manufacturers must address the human element in their operations.
The Blind Spot in Machine Data
Machine data alone cannot explain the variability observed between workstations operated by different individuals. For example, one operator may complete tasks with remarkable efficiency, while another struggles with delays. Machine metrics can highlight these discrepancies but fall short of explaining the underlying reasons. Understanding these nuances in human behavior requires a new approach to data collection—one that places human actions at the forefront.
“I think what went kind of unnoticed or maybe just because it wasn't possible before was what is the data that we can get from the humans on the floor. What are the human actions that are being taken on top of just what's happening with the machine?” Devan Bhushan, CEO, Squint
Unlocking Insights with Human Data
Imagine a scenario where data analysis reveals that 90% of operators encounter difficulties at a specific step in a changeover process. This insight, derived from human data, provides a roadmap for streamlining operations. By addressing these bottlenecks, manufacturers can reduce downtime and significantly boost productivity.
But the benefits of human data extend far beyond identifying errors. By analyzing the habits of high-performing operators, manufacturers can uncover best practices, effectively capturing tribal knowledge that often remains siloed. This democratization of expertise enables manufacturers to modernize training programs, reducing reliance on lengthy, traditional methods and empowering new employees to achieve peak performance faster.
The Comprehensive Approach to Manufacturing Intelligence
The future of manufacturing intelligence lies in combining machine data with a deep understanding of human actions. Together, these insights can unlock unprecedented levels of productivity and efficiency. For example, predictive analytics powered by both machine and human data can proactively address skill gaps, fine-tune workflows, and enhance workplace safety.
One platform offering a compelling solution for capturing human data is Squint. Squint leverages augmented reality and intuitive data tools to document and analyze operator actions, bridging the gap between human performance and machine metrics. With this integrative approach, manufacturers can develop actionable strategies that optimize both human and machine contributions to production.
Want to know more?
Curious about how human data can transform your manufacturing processes? Join the conversation, How Manufacturing Intelligence Unlocks Operator Productivity by watching the full Industry 4.0 Club livestream recording. Learn more about Devan Bhushan and Squint’s innovative approach and hear firsthand how manufacturers are using human data to revolutionize their operations.
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Carol Mitchell-Lin is an Industry 4.0thought leadership producer. Formerly host of the Women in Manufacturing webinar series and a Founder of the Industry 4.0 Club, Carol served as Vice Chair and Secretary on the Club's Board of Directors. She has more than 20years of experience in the industrial space and combines excellent people skills with solid technical expertise. Connect with Carol on LinkedIn.
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