Predictive Quality in Industry 5.0

Author:

Santos Eduardo Manuel1,Nunes Eusebio Pinto1ORCID,Rodrigues Cristina Maria1ORCID

Affiliation:

1. University of Minho, Portugal

Abstract

In this chapter, the authors intend to discuss Industry 5.0 and the emerging changes in quality management, in its planning, control and improvement components. It is intended to clarify that, in the context of smart manufacturing systems, quality management requires new approaches in monitoring and controlling manufacturing processes. This paradigm shift requires new skills, one of the most important of which is predictive quality. There is a gap between the development of theories, approaches, concepts and philosophies and their application in a real context. From this perspective, the chapter aims to present predictive quality as a contribution to the integration of creativity and human skills in improving manufacturing processes.

Publisher

IGI Global

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