Browsing by Author "Fogliatto, Flavio Sanson"

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    Digitalization of maintenance: exploratory study on the adoption of Industry 4.0 technologies and total productive maintenance practices
    (TAYLOR & FRANCIS LTD, 2022) Tortorella, Guilherme Luz; Saurin, Tarcisio Abreu; Fogliatto, Flavio Sanson; Mendoza, Diego Tlapa; Moyano-Fuentes, Jose; Gaiardelli, Paolo; Seyedghorban, Zahra; Vassolo, Roberto; Vergara, Alejandro F. Mac Cawley; Sunder, Vijaya M.; Sreedharan, V. Raja; Sena, Santiago A.; Forstner, Friedrich Franz; de Anda, Enrique Macias
    This paper analyzes the joint adoption of Industry 4.0 (I4.0) technologies and Total Productive Maintenance (TPM) practices in manufacturing firms. For that, we surveyed 335 practitioners from firms currently implementing TPM and I4.0, located in sixteen countries. The collected dataset was analyzed using sets of partial correlation analyses, obtained when controlling the effect of three contextual variables, all assessed at the firm level: (i) socio-economic context, (ii) technological intensity, and (iii) size. Pairs of TPM practices and I4.0 technologies with significant positive correlations in all partial correlation sets indicate positive trends in the adoption of elements in the pairs, regardless of context, and may be viewed as indicators of TPM practices and I4.0 technologies more prone to be integrated. Our results identified 67 pairs of I4.0 technologies and TPM practices meeting the significance criterion. Four TPM practices (fostering operator ownership, standardization of AM checks, setting 3M-machine/man/material-conditions, and constant search for the next generation of technology) and two I4.0 technologies (Internet-of-Things, and big data) appeared in 26 of the 67 pairs. The study unveiled trends in the integration of I4.0 and TPM, pointing to pairs whose joint adoption is predominant and indicating pathways to the digitalization of maintenance.
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    Healthcare costs' reduction through the integration of Healthcare 4.0 technologies in developing economies
    (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2020) Tortorella, Guilherme Luz; Fogliatto, Flavio Sanson; Esposto, Kleber Francisco; Mac Cawley, Alejandro Francisco; Vassolo, Roberto; Tlapa, Diego; Narayanamurthy, Gopalakrishnan
    This study aims at examining the effect of Healthcare 4.0 (H4.0) implementation on healthcare costs' reduction in hospitals located in developing economies. For that, 159 middle and senior leaders from hospitals located in Brazil, India, Mexico and Argentina were surveyed regarding their adoption level of H4.0 technologies and cost reduction improvements. Responses were analysed using multivariate data analysis techniques. Our findings indicate that the adoption of H4.0 technologies, empirically grouped into two different bundles (Sensing-Communication and Processing-Actuation), is positively related to healthcare costs' reduction and that the extent of such relationship may vary according to the bundle under analysis. Our results elucidate the impact of digital integration on healthcare costs, suggesting a cost-effective path based on H4.0 implementation. The identification of this relationship in hospitals located in developing economies evidences the benefits of healthcare digital transformation despite the challenging socioeconomic conditions, which has been contradictorily reported in previous studies.
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    The impact of Industry 4.0 on the relationship between TPM and maintenance performance
    (EMERALD GROUP PUBLISHING LTD, 2022) Tortorella, Guilherme; Saurin, Tarcisio Abreu; Fogliatto, Flavio Sanson; Tlapa, Diego; Moyano Fuentes, Jose; Gaiardelli, Paolo; Seyedghorban, Zahra; Vassolo, Roberto; Mac Cawley, Alejandro Francisco; Sunder, Vijaya M.; Sreedharan, V. Raja; Sena, Santiago Alfredo; Forstner, Friedrich Franz
    Purpose In this paper, the authors examine the impact of Industry 4.0 (I4.0) technologies on the relationship between total productive maintenance (TPM) practices and maintenance performance. Design/methodology/approach Data collection was carried out through a multinational survey with 318 respondents from different manufacturing companies located in 15 countries. Multivariate data techniques were applied to analyze the collected data. Diffusion of innovations theory (DIT) was the adopted theoretical lens for our research. Findings The authors' findings indicate that I4.0 technologies that aim to process information to support decision-making and action-taking directly affect maintenance performance. Technologies oriented to sensing and communicating data among machines, people, and products seem to moderate the relationship between TPM practices and maintenance performance. However, the extent of such moderation varies according to the practices involved, sometimes leading to negative effects. Originality/value With the advances of I4.0, there is an expectation that several maintenance practices and performance may be affected. Our study provides empirical evidence of these relationships, unveiling the role of I4.0 for maintenance performance improvement.