Purpose Quality 4.0 is an emerging research topic concerned with rethinking how quality
management needs to be adopted in the digital era. The purpose of this research is to …

This paper merges new research topics in Industry 5.0 using the Business Process Modeling
and Notation (BPMN) approach able to integrate Artificial Intelligence (AI) in production …

This paper explores the human-centric orientation of manufacturers within Industry 5.0 (I5.
0), emphasising the synergy between competence management practices and emerging …

Cognitive manufacturing utilizes cognitive computing, the industrial Internet of things (IoT),
and advanced analytics to upgrade manufacturing processes in manners that were not …

Zero Defect Manufacturing (ZDM) can be described as the set of methodologies and
strategies for the elimination of defective components during production, and is one of the …

Quality control is being increasingly automatised in the context of Industry 4.0. Its
automatisation reduces inspection times and ensures the same criteria are used to evaluate …

Quality control is a crucial activity performed by manufacturing companies to verify product
conformance to the requirements and specifications. Standardized quality control ensures …

Quality control is a crucial activity manufacturing companies perform to ensure their products
conform to the requirements and specifications. The introduction of artificial intelligence …

This paper presents an automated inspection and classification system for automotive
component remanufacturing industry, based on ensemble learning. The system is based on …

Quality control is a crucial activity performed by manufacturing enterprises to ensure that
their products meet quality standards and avoid potential damage to the brand's reputation …