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

Author:

Tortorella GuilhermeORCID,Saurin Tarcisio AbreuORCID,Fogliatto Flavio SansonORCID,Tlapa DiegoORCID,Moyano-Fuentes JoséORCID,Gaiardelli PaoloORCID,Seyedghorban Zahra,Vassolo RobertoORCID,Mac Cawley Alejandro FranciscoORCID,Sunder M VijayaORCID,Sreedharan V. RajaORCID,Sena Santiago AlfredoORCID,Forstner Friedrich FranzORCID

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.

Publisher

Emerald

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications,Control and Systems Engineering,Software

Reference129 articles.

1. Of leaders and laggards-towards digitalization of the process industries;Technovation,2020

2. The role of information and communication technologies in healthcare: taxonomies, perspectives, and challenges;Journal of Network and Computer Applications,2018

3. Evaluating 8 pillars of total productive maintenance (TPM) implementation and their contribution to manufacturing performance;IOP Conference Series: Materials Science and Engineering,2018

4. Total productive maintenance;Total Quality Management and Business Excellence,2018

5. An overview of time-based and condition-based maintenance in industrial application;Computers and Industrial Engineering,2012

Cited by 30 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Exploring the relationship between Lean and Green for further research;Journal of Manufacturing Technology Management;2024-05-08

2. The contradictory effect of lean and industry 4.0 synergy on firm performance: a meta-analysis;Journal of Manufacturing Technology Management;2024-04-11

3. An implementation model for socio-technical digital tools;Journal of Manufacturing Technology Management;2024-04-09

4. Evolution of Maintenance Processes in Industry 4.0- A Review;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

5. An Exploration of Organisational Readiness for Industry 4.0: A Predictive Maintenance Perspective;Quality Innovation Prosperity;2024-03-31

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3