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 businesses increasingly rely on machine vision to enhance quality, improve productivity, and increase the bottom line, technology providers are relying more on industrial computing solutions that enable faster processing speeds and higher efficiency, or that support new tasks altogether. 

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.

Former Boeing engineer Jim Doxey explains a previous motto at the company, why people (and teamwork) are the most important part of a quality system, and offers advice for manufacturers looking to avoid quality woes. He also shares his thoughts on a 30+ career working in manufacturing.

Reed Switch Developments Corp. (RSD), a woman-owned manufacturer in Racine, WI, specializes in magnetic reed switches and sensors. Recognized as last year’s Quality Plant of the Year, RSD has achieved a 25% increase in sales year-to-date, leveraging in-house technical expertise and automation to manage growth amid rising costs and economic uncertainty.

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.

Women are increasingly sought in manufacturing, a field now prioritizing inclusivity and diversity. Employers recognize that diverse perspectives boost creativity and morale, and they are actively showcasing opportunities for success in this dynamic industry.

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.

Recent quality issues with Boeing aircraft reveal critical flaws in ISO certification processes, despite adherence to standards like AS 9100. Strengthening these certifications is essential for maintaining credibility and ensuring that they truly reflect an organization’s commitment to quality and safety in aerospace products.