The impact of Industry 4.0 on the relationship between TPM and maintenance performance

Abstract

PurposeIn 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/approachData 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.FindingsThe 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/valueWith 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.

Total productive maintenance and Industry 4.0 in a sustainability context: exploring the mediating effect of circular economy

“…Additionally, the literature suggests that I4.0 could affect TPM (Felsberger et al. , 2020; Tortorella et al. , 2022a), I4.0 could affect CE (Lopes de Sousa Jabbour et al.…”

Effect of Industry 4.0 on the relationship between socio-technical practices and workers' performance

“…In fact, the moderating role played by I4.0 technologies on the impact of certain managerial approaches has already been evidenced by some studies (e.g. Tortorella et al, 2019bTortorella et al, , 2022b.…”

Industry 4.0: what is the relationship between manufacturing strategies, critical success factors and technology adoption?

“…The adoption of IoT, big data, cloud computing, and wireless sensors seemed to be more extensive in companies that prioritize production volume, such as mass customization or repetitive production strategies. According to the classification empirically validated by Tortorella et al (2022), IoT, big data, cloud computing, and wireless sensors are I4.0 technologies that aim at sensing and communicating data among machines, people, and products, although not necessarily implying action-taking. In companies whose manufacturing strategy preconizes high volumes, manufacturing processes tend to be constantly running, generating large amount of data.…”

“…As consolidated in Table 2, the citation of nine technologies has been relatively frequent, which suggests a consensus among researchers about the main portfolio of I4.0 technologies. It is also worth mentioning that these technologies have been combined differently and their classification varied in terms of their focus of application (Rossini et al, 2021), role within the organization (Tortorella et al, 2022), and importance (Frank et al, 2019). Although the digital transformation involves several aspects, most studies generally utilize the adoption level of these I4.0 technologies as a proxy to assess the digitalization efforts of organizations (Rossini et al, 2019).…”

“…It is also worth mentioning that these technologies have been combined differently and their classification varied in terms of their focus of application (Rossini et al. , 2021), role within the organization (Tortorella et al. , 2022), and importance (Frank et al.…”