In the world of quality control, data drives decisions. But raw numbers are often hard to interpret – and that's where the histogram comes in. This seemingly simple chart can reveal valuable insights and help engineers make informed decisions.

Artificial intelligence is revolutionizing many industries, including quality in the automotive sector. ChatGPT for Quality Engineers is a valuable tool that supports daily tasks—from creating documentation to conducting problem analysis. What are its capabilities, what are its limitations, and how can it be used effectively? Find out in this article.

Process audit? Sounds serious, but it doesn’t have to be! In reality, it’s simply about checking if everything works the way it should — and finding opportunities for improvement. With the right mindset (and a good checklist), an audit can become a powerful tool to streamline processes and boost efficiency in your company.

In the chaos of modern life, where everyone struggles with an overwhelming number of tasks, the Eisenhower Matrix emerges as an essential ally in the pursuit of efficiency and effectiveness. Why? Because it provides a clear strategy for task prioritization.

Both during a new launch and ongoing production, manufactured products must meet the required quality and quantity standards. If these requirements are not met, customer escalation may occur. The most serious form of escalation is the New Business Hold (NBH).

Artificial intelligence (AI) is playing an increasingly crucial role in Quality Management and Engineering with forecasts predicting it will revolutionize most quality-related processes in the coming years. For quality engineers, AI is becoming a tool that facilitates data processing, reduces execution time for routine tasks and supports better decision-making.

Every new launch and implementation of changes in ongoing production involves the validation and verification of process parameters. One tool worth considering in this context is a Process Parameters Audit.

Visual aspects of parts are a crucial factor in the final approval of components to be delivered at the start of production. Their color, gloss and graining are important from the end customer's perspective.

Every organization producing aesthetic components must go beyond standard part approval to agree on a defined level of visual assessment with the customer. In the automotive industry, this is often achieved through approval based on a Quality Book.

Quality circles are an effective tool that not only help reduce errors and improve processes but also boost employee engagement and enhance team collaboration, making them a key element of success in the industrial sector.