2017
DOI: 10.1007/978-3-319-66923-6_45
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On the Advancement of Maintenance Management Towards Smart Maintenance in Manufacturing

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Cited by 17 publications
(8 citation statements)
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References 12 publications
(11 reference statements)
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“…However, research on planned maintenance is significantly less frequent than in proactive maintenance. Such a situation becomes undesirable when considering that planned maintenance is still prevalent in industries today (Macchi et al, 2017).…”
Section: Rq2: Maintenance Strategiesmentioning
confidence: 99%
“…However, research on planned maintenance is significantly less frequent than in proactive maintenance. Such a situation becomes undesirable when considering that planned maintenance is still prevalent in industries today (Macchi et al, 2017).…”
Section: Rq2: Maintenance Strategiesmentioning
confidence: 99%
“…Maturity models have also been developed to, more specifically, assess maintenance organizations in the digitalized context. Macchi et al (2017) used a maturity assessment method (Macchi and Fumagalli, 2013) to assess the advancement of maintenance management toward smart maintenance, including assessment items of technological, organizational and managerial capabilities. Nemeth et al (2019) present a maturity model including data quality, information quality, knowledge quality and maintenance quality as assessment items.…”
Section: Maintenance In Digitalized Manufacturingmentioning
confidence: 99%
“…The literature on smart maintenance is evolving. A great deal of attention has been aimed at understanding the impact of Industry 4.0 (the fourth generation of industrial activity) on maintenance with a particular interest in advanced technologies, data science, and predictive analytics (Yan et al 2017;Bokrantz et al 2017;Kans and Galar 2017;Macchi et al 2017;Lee et al 2014Lee et al , 2015Lee et al , 2017García and García 2019). A definition of smart maintenance is given by Bokrantz et al (2020), who defined smart maintenance as "an organizational design for managing maintenance of manufacturing plants in environments with pervasive digital technologies."…”
Section: Literature Reviewmentioning
confidence: 99%