A novel quality map for monitoring human well-being and overall defectiveness in product variants manufacturing

A novel quality map for monitoring human well-being and overall defectiveness in product variants manufacturing

Elisa Verna, Stefano Puttero, Gianfranco Genta, Maurizio Galetto

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Abstract. Nowadays, companies are faced with demands for increasingly customised products, shifting from mass production to mass customisation. Thus, operators typically have to produce multiple product variants, often characterised by different complexity levels, while meeting quality standards. Companies, however, cannot only be concerned with production quality, but also with the quality and well-being of workers, as demanded by the human-centred paradigm of Industry 5.0. Therefore, this paper proposes a combined analysis of (i) production quality in terms of overall defects generated during product variants manufacturing and (ii) human well-being in terms of stress response. The combination of the two indicators results in a novel tool called “Quality Map”, which enables the evaluation and monitoring of quality systems during the production of product variants from a broad standpoint. To demonstrate the viability of the method, a collaborative human-robot assembly is used as a case study.

Quality, Performance Indicators, Industry 5.0

Published online 9/5/2023, 8 pages
Copyright © 2023 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: Elisa Verna, Stefano Puttero, Gianfranco Genta, Maurizio Galetto, A novel quality map for monitoring human well-being and overall defectiveness in product variants manufacturing, Materials Research Proceedings, Vol. 35, pp 412-419, 2023

DOI: https://doi.org/10.21741/9781644902714-49

The article was published as article 49 of the book Italian Manufacturing Association Conference

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

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