Open AccessGestión del mantenimiento y la industria 4.0
Author(s) -
Gustavo Herrera-Sánchez,
Luz del Carmen Morán-Bravo,
José Luis Gallardo-Navarro,
Alejandro Silva-Juárez
Publication year - 2020
Publication title -
revista de ingenieria innovativa
Language(s) - English
Resource type - Journals
ISSN - 2523-6873
DOI - 10.35429/joie.2020.15.4.18.28
Subject(s) - digitization , maintainability , computer science , automation , predictive maintenance , factory (object oriented programming) , reliability (semiconductor) , cloud computing , process management , key (lock) , industry 4.0 , operations management , engineering management , reliability engineering , engineering , software engineering , data mining , telecommunications , computer security , mechanical engineering , power (physics) , physics , quantum mechanics , programming language , operating system
The purpose of the study is to explore on maintenance management in Industry 4.0 with its characteristics such as virtual reality, digitization of operations, connectivity, robotization, data in the cloud, automation, big data, etc., all to increase productivity in the cyber - physical system. The methodology developed is through a qualitative approach through an exploratory or approach study analyzing multiple subjective realities, derived from data mining and bibliographic search. For maintenance management, it seems more appropriate the proactive and predictive maintenance approach to achieve standard ISA 95 level 4 automation. This reflection seeks to contribute to identifying the challenges that companies must solve, in this case in the maintenance area using terotechnology, since it has a systemic approach that considers the Overall Equipment Effectiveness and CMD indicators (Reliability, Maintainability and Availability) and the horizontal and vertical structures as systems in the digitized factory, always taking into account personnel as a key element for success.