Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system

María Pilar Lambán; Paula Morella; Jesús Royo; Juan Carlos Sánchez

doi:10.1016/j.cie.2022.108400

Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system

María Pilar Lambán
, Paula Morella^*
, Jesús Royo
, Juan Carlos Sánchez

^*Autor correspondiente de este trabajo

University of Zaragoza

Producción científica: Contribución a una revista › Artículo › revisión exhaustiva

38 Citas (Scopus)

Resumen

The fourth industrial revolution is transforming the industrial environment. This work focuses on the application of 4.0 technologies to solve the problems that predictive maintenance currently faces, e.g., performing maintenance only when necessary or processing data in real time to provide relevant information. Particularly, the implementation of a CPS is carried out in a machine tool capable of acquiring data in real time. At the same time, a series of maintenance indicators have been defined, developed, and implemented that provide the user with relevant information on the status of the machine to enhance decision-making.

Idioma original	Inglés
Número de artículo	108400
Publicación	Computers and Industrial Engineering
Volumen	171
DOI	https://doi.org/10.1016/j.cie.2022.108400
Estado	Publicada - sept 2022

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Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 9: Industria, innovación e infraestructura

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10.1016/j.cie.2022.108400

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title = "Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system",

abstract = "The fourth industrial revolution is transforming the industrial environment. This work focuses on the application of 4.0 technologies to solve the problems that predictive maintenance currently faces, e.g., performing maintenance only when necessary or processing data in real time to provide relevant information. Particularly, the implementation of a CPS is carried out in a machine tool capable of acquiring data in real time. At the same time, a series of maintenance indicators have been defined, developed, and implemented that provide the user with relevant information on the status of the machine to enhance decision-making.",

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AU - Morella, Paula

AU - Royo, Jesús

AU - Carlos Sánchez, Juan

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AB - The fourth industrial revolution is transforming the industrial environment. This work focuses on the application of 4.0 technologies to solve the problems that predictive maintenance currently faces, e.g., performing maintenance only when necessary or processing data in real time to provide relevant information. Particularly, the implementation of a CPS is carried out in a machine tool capable of acquiring data in real time. At the same time, a series of maintenance indicators have been defined, developed, and implemented that provide the user with relevant information on the status of the machine to enhance decision-making.

KW - Cyber physical system

KW - Industry 4.0

KW - Key performance indicators

KW - Predictive maintenance

UR - https://www.scopus.com/pages/publications/85133898889

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VL - 171

JO - Computers and Industrial Engineering

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M1 - 108400

ER -

Using industry 4.0 to face the challenges of predictive maintenance: A key performance indicators development in a cyber physical system

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