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

^*Corresponding author for this work

University of Zaragoza

Research output: Contribution to journal › Article › peer-review

38 Citations (Scopus)

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.

Original language	English
Article number	108400
Journal	Computers and Industrial Engineering
Volume	171
DOIs	https://doi.org/10.1016/j.cie.2022.108400
Publication status	Published - Sept 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Cyber physical system
Industry 4.0
Key performance indicators
Predictive maintenance

Access to Document

10.1016/j.cie.2022.108400

Cite this

@article{e073388d9d304b4c912ceea718c84cac,

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.",

keywords = "Cyber physical system, Industry 4.0, Key performance indicators, Predictive maintenance",

author = "\{Pilar Lamb{\'a}n\}, Mar{\'i}a and Paula Morella and Jes{\'u}s Royo and \{Carlos S{\'a}nchez\}, Juan",

note = "Publisher Copyright: {\textcopyright} 2022 Elsevier Ltd",

year = "2022",

month = sep,

doi = "10.1016/j.cie.2022.108400",

language = "English",

volume = "171",

journal = "Computers and Industrial Engineering",

issn = "0360-8352",

publisher = "Elsevier Ltd.",

}

TY - JOUR

T1 - Using industry 4.0 to face the challenges of predictive maintenance

T2 - A key performance indicators development in a cyber physical system

AU - Pilar Lambán, María

AU - Morella, Paula

AU - Royo, Jesús

AU - Carlos Sánchez, Juan

PY - 2022/9

Y1 - 2022/9

N2 - 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.

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

U2 - 10.1016/j.cie.2022.108400

DO - 10.1016/j.cie.2022.108400

M3 - Article

AN - SCOPUS:85133898889

SN - 0360-8352

VL - 171

JO - Computers and Industrial Engineering

JF - Computers and Industrial Engineering

M1 - 108400

ER -

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

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this