TY - JOUR
T1 - The impact of Industry 4.0 on the relationship between TPM and maintenance performance
AU - Tortorella, Guilherme
AU - Saurin, Tarcisio Abreu
AU - Fogliatto, Flavio Sanson
AU - Tlapa, Diego
AU - Moyano-Fuentes, José
AU - Gaiardelli, Paolo
AU - Seyedghorban, Zahra
AU - Vassolo, Roberto
AU - Mac Cawley, Alejandro Francisco
AU - Vijaya Sunder, M.
AU - Sreedharan, V. Raja
AU - Sena, Santiago Alfredo
AU - Forstner, Friedrich Franz
N1 - Publisher Copyright:
© 2022, Emerald Publishing Limited.
PY - 2022/1/24
Y1 - 2022/1/24
N2 - 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.
AB - 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.
KW - Empirical study
KW - Industry 4.0
KW - Performance
KW - Total productive maintenance
UR - http://www.scopus.com/inward/record.url?scp=85123359362&partnerID=8YFLogxK
U2 - 10.1108/JMTM-10-2021-0399
DO - 10.1108/JMTM-10-2021-0399
M3 - Article
AN - SCOPUS:85123359362
SN - 1741-038X
VL - 33
SP - 489
EP - 520
JO - Journal of Manufacturing Technology Management
JF - Journal of Manufacturing Technology Management
IS - 3
ER -