Featured on Home Page

RSS

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.

AI is revolutionizing quality control in electronics manufacturing by enhancing inspection processes and reducing costs. Anna-Katrina Shedletsky emphasized the power of machine learning and deep learning to automate tasks, improve product quality, and deliver significant ROI, making quality control the perfect starting point for AI implementation.

The combination of closed loop quality systems and AI-driven machine vision is transforming manufacturing by enabling real-time adjustments and proactive problem-solving.