A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.

The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.

Traditional control charting techniques, despite their long history, can lead to wasteful outcomes due to certain mathematical properties. This article examines these issues using a Minitab dataset and introduces a free 30,000-foot-level metric-reporting app as an alternative, supported by Minitab analyses.

Organizations are increasingly adopting Software as a Service (SaaS) for quality management, moving away from traditional on-premises systems due to its scalability and cost-effectiveness. By 2025, SaaS is projected to power 85% of all business applications, up from 70% in 2023.

This article will explore digital twin technology, its effects on medical device manufacturing, and the associated benefits and challenges. The global market for digital twins was valued at over $8.6 billion in 2022 and is projected to reach $138 billion by 2030.

As electric vehicles (EVs) reshape the automotive industry, manufacturers are pressured to enhance processes and achieve first-time quality. The demand for sustainable transportation requires a rethink of production strategies, with a focus on establishing a one-piece flow—ensuring each unit moves through the line without interruptions. This efficiency is vital for meeting consumer expectations and setting industry benchmarks.

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.