Maintenance-Management in Light of Manufacturing 4.0

Michele Urbani (), Dario Petri (), Matteo Brunelli () and Mikael Collan ()
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Michele Urbani: University of Trento
Dario Petri: University of Trento
Matteo Brunelli: University of Trento
Mikael Collan: LUT University

A chapter in Technical, Economic and Societal Effects of Manufacturing 4.0, 2020, pp 97-111 from Springer

Abstract: Abstract Global competition is driving the evolution of the Industry 4.0 paradigm in the manufacturing industry. In this context, maintenance can play an increasingly important role in assuring a satisfactory level of asset reliability and availability and in improving organization performance. This chapter gives an overview on maintenance policies commonly used in daily practice and presents the principles of the cutting-edge approach to predictive maintenance—prognostics and health management (PHM). Advanced predictive maintenance approaches and their technical and cost-savings potential in connection with the concept of digital twins are discussed.

Keywords: Maintenance management; Maintenance policy; Diagnostics; Prognostics; Digital twin (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-46103-4_5

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DOI: 10.1007/978-3-030-46103-4_5

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