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Quality 4.0 transforms manufacturing by integrating digital technologies with quality management, enhancing visibility and traceability throughout the production process. By leveraging data from interconnected machines, it helps manufacturers proactively manage risks and reduce waste, leading to a safer and more efficient future.

The manufacturing industry is grappling with a labor shortage as Baby Boomers retire, leaving a gap that younger workers aren’t filling. Strategic workforce planning, particularly through the "Six B's" approach, can help address this challenge.

If you’re looking to recruit more staff, a manufacturing boot camp may be the answer. Ranae Stewart is the Senior Executive Director of the Purdue Manufacturing Extension Partnership, part of the MEP National Network™️.

Many work in teams, and some facilitate projects and improvements. This can be challenging without proper techniques. Effective facilitation combines processes with human factors, highlighting the importance of working with people.

Nearly half of engineering projects face scope creep, resulting in cost overruns and delays. Key causes include unclear requirements and regulatory changes. By using effective strategies, teams can mitigate these risks and keep projects on track.

Let’s talk about leadership and the positive trends in Pennsylvania and Maryland, where several companies are among our top five.

Quality 4.0 combines technologies like AI and IoT with quality management, enhancing real-time monitoring and decision-making. It supports continuous improvement in Lean Six Sigma, helping organizations achieve operational excellence and stay competitive.

Manufacturers are increasingly hiring second chance citizens—those with criminal records—due to their valuable skills and strong work ethic. Programs like Purdue’s Manufacturing Skills for Success (MS4S) provide training that helps these workers transition into manufacturing roles.

Feedback from test data is used to improve production processes.

Machine vision is vital for industrial automation, providing essential image analysis amid labor shortages. Effective implementation relies on precise lighting to ensure high-quality images, with different applications requiring specific setups, such as backlights for measurements and line scan lights for fast-moving materials.