Abstract

AbstractIn modern Industrial and manufacturing systems, digitalization and sustainability are significant areas which are affecting all equipment of the manufacturing chain. In the fourth industrial revolution era (industry 4.0), maintains play a key role in sustainable manufacturing and production system. Meanwhile, maintenance 4.0 as a part of industry 4.0 and intelligent manufacturing is dealing with a machine-assisted digital version (digital twin) of factory assets, manufacturing processes, and organizational efficiency monitoring to ensure the assets deliver value. Moreover, it could break the trade-offs of the older strategies by enabling companies to maximize the useful life of their production equipment while avoiding unplanned downtime, minimizing planned downtime, increasing process, and workers’ safety, minimizing energy and resource consumption, and saving costs. In this study, different policies of maintenance routines are explained, and the development of tools for predictive maintenance as one of the pillars of sustainable and smart manufacturing is discussed. Real-time monitoring and digital twins of shopfloor equipment as agile manufacturing methods aim at increasing the autonomy of production lines based on the equipment connectivity approach. The challenges in this domain consider mainly the development of techniques to improve the flexibility of predictive maintenance to enable the democratization of this approach in small and medium-sized enterprises (SMEs).KeywordsIndustry 4.0; Maintenance 4.0Smart manufacturingSustainable manufacturingSustainable maintenance

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