As consumers demand higher-quality goods at steadily increasing volumes, the chief benefits of industrial automation — speed, accuracy, and consistency—become more important to businesses worldwide with each passing day. 

We are going to be dissecting six data integrity issues that require resolution prior to taking any further steps into the overall quality control process.

In March 2023, after a GPT model passed a biology exam, Bill Gates noted on his blog that AI could save lives and address climate change. If AI can tackle such significant challenges, it can also help with issues faced by manufacturers, metrologists, and quality control professionals. This article will examine the challenges metrologists encounter and highlight potential AI-driven solutions in the metrology value chain.

Today’s manufacturing environment demands greater product variety, shorter lead times, and higher customer expectations. To meet these challenges, manufacturers need agile and efficient intralogistics solutions, specifically scalable, modular systems that adapt to production changes and optimize resources while ensuring high quality.

Statistical process control (SPC) charts are crucial for process stability, especially with improved data collection. Introduced by Walter Shewhart in the 1920s, SPC uses random samples to estimate statistics and assess variation. With better data availability, techniques like the Rbar method, which estimates standard deviation using subgroup ranges, need reevaluation.

This article shows how to make leadership aware of all costs and not just the tangible ones. It helps quality professionals to quantify the Total Cost of Quality and derive a compelling business case from that quantification.

The automotive industry is innovating to produce safer and more efficient vehicles. Quality standards are vital, as small defects can lead to serious safety issues. Digital twins and augmented reality (AR) are transforming quality management. This article explores their impact and associated challenges.

Calibration is essential for maintaining quality and safety in industries like pharmaceuticals, food and beverage, and chemicals. The future looks to digital certificates and AI technology to make calibration processes faster and more efficient. This article discusses how AI is set to transform calibration.

Regulatory bodies like the FDA and MHRA are adapting guidelines to accommodate the evolving AI landscape, stressing the importance of innovative compliance approaches alongside traditional software regulations, including audit trails, electronic records, and signatures.

Manufacturers thrive in a competitive market by prioritizing customer needs: price, quality, and delivery. However, long-term success hinges on quality, which ensures products perform as expected from manufacturing through to post-sale. While price is influenced by costs and market dynamics, and delivery by productivity, quality is key to building trust and customer loyalty.