Challenges and opportunities of complex equipment operational reliability technology in industrial big data age

Ma, Hongbo; Kong, Xianwen; Zhong, Yiping; Yang, Changqi; Li, Zhongquan; Fu, Yang

doi:10.1109/icrms.2016.8050134

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The Product Operation Phase With Maintenance 401

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2020

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“…On this line, the articles of Meeker and Hong (2014), Tamura et al (2014), Tamura et al (2015), Ma et al (2016) and Tamura and Yamada (2016) are published. The idea is stressed that each failure is a maintenance miss and that all efforts must be directed toward its prevention rather than its repair.…”

Section: The Product Operation Phase With Maintenance 40mentioning

confidence: 99%

Disruptive Maintenance Engineering 4.0

Navas¹,

Sancho²,

Carpio³

2020

IJQRM

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PurposeThe purpose of this paper is to present a new disruptive maintenance model based on new technologies.Design/methodology/approachThe approach is carrying out through the impact of the Industry 4.0, Internet of things, big data, virtual reality and additive manufacturing on maintenance.FindingsThe findings are that new technologies are an evolutionary challenge that is immediately affecting maintenance engineering. It presents a unique opportunity to make a disruptive evolution of maintenance.Research limitations/implicationsThe correct development of Maintenance 4.0 relates to the correct implementation of Industry 4.0.Practical implicationsMaintenance 4.0 will greatly improve the main operating indicators: safety, reliability, availability and cost.Social implicationsMaintenance 4.0 will contribute to a circular and sustainable economy.Originality/valueFor the first time, a complete new Maintenance Engineering 4.0 model is proposed. The application of the new technologies appears in each specific maintenance process of the product life cycle.