Labor shortages continue to pressure manufacturers, with some dedicating up to 20% of their workforce to manual inspection. Embracing Quality 4.0 with automated in-line inspections and AI process analytics could provide significant value.

Dr. Milton Krivokuca, our 2024 Quality Professional of the Year, shifted from manufacturing to education, guiding students to faster degrees and career advancement. He actively promotes quality assurance programs and stays updated on industry trends like Quality 4.0, proving his dedication and expertise.

The manufacturing landscape is undergoing a profound transformation in the era of Industry 4.0, characterized by the integration of digital technologies, automation, and data-driven decision-making. Quality 4.0 is at the heart of this evolution.

Quality 4.0 is still in a definition phase. In this article we present learning quality control, our vision.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

Dr. Carlos Escobar, a research scientist at the Quality 4.0 Institute, shares his ideas combining machine learning and quality.

My informal observations of published white papers and interviews with colleagues support that quality is moving in the direction of Quality 4.0, but very slowly.

2.0 — I’m guessing that just by writing this number, in this format, many of you know where I’m heading.

The topic of Quality 4.0 is rapidly becoming a legend due to its mysterious nature; it seemingly has no formal description. Very few people can confidently say that they have seen it or used it. 

Quality is not a single field, but in fact the integration of knowledge from many fields of science, technology and management. This can be seen by looking at some of the quality gurus and their more well-known contributions.