Articles by Genevieve Diesing

Automotive manufacturers have long relied on end-of-line testing to catch defects before vehicles leave the plant. Increasingly, that approach is giving way to something more proactive.

Automation promises efficiency, cost savings, and fewer errors. What it cannot do is fix a broken process.

Manufacturers increasingly want to use artificial intelligence (AI) and advanced analytics to improve quality and reduce waste.

Many manufacturers want to automate but struggle to figure out where to begin. 

Force testing rarely draws attention until it fails. When components crack, seals leak, or devices do not activate as expected, engineers often trace the problem back to how force was applied, measured, or interpreted. 

Instead of waiting until the end of production to confirm size, quality teams increasingly collect dimensional data during machining and finishing operations.

Manufacturing teams continue to use handheld gages during daily quality work, even as they expand their automated inspection systems and adopt more software-driven processes.

Medical device manufacturers are changing how they inspect devices, manage suppliers, and evaluate performance over a product’s lifecycle.

Quality engineers on aircraft and defense programs must verify that every part meets design requirements and keep records that can be audited for years. 

For decades, manufacturers have invested heavily in lean tools, automation and continuous improvement systems.