Automation

RSS

We explore two critical applications of AI and ML in quality management: predictive quality analytics and automated quality inspections.

For automation-focused companies, Autonomous Process Control (APC) isn’t just a tech advancement—it’s essential for achieving six sigma quality and boosting yields and profitability.

Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.

In today’s industrial landscape, IO-Link enables seamless data exchange for efficient operations.

In modern manufacturing, it's crucial to validate parts immediately after manufacturing or assembly and detect defects before further processing. Automation in manufacturing has outpaced inspection processes, creating a challenge and opportunity for the metrology industry.

No robot can replace a person, but they can handle dull, dangerous, or repetitive tasks, freeing up employees for more fulfilling work. Businesses need to embrace robotics to efficiently adapt to production cycles and address supply chain backlogs and labor shortages.

The growing use of AI in manufacturing has revolutionized quality control. Traditional inspection methods struggle to keep pace with complex production processes, but AI augments accuracy and efficiency, upholding high-quality standards.

Liquid penetrant testing (LPT) is a versatile, portable, simple, and sensitive method for detecting surface defects. It can be used on a wide range of materials and is excellent at finding surface discontinuities such as defects, porosity, lack of fusion, or surface-breaking cracks.

MLADÁ BOLESLAV, Czech Republic—Škoda Auto has opened new 22 million euro ($24 million) Simulation Center at its assembly plant here. 

Advancements in AI and machine learning offer hope to revolutionize industrial automation and tackle modern manufacturing challenges.