An integrated simulation paradigm for lifecycle-covering maintenance in the Industry 4.0 context. Issue 3 (2020)

• Record Type: Journal Article
• Authors: Cimino, Chiara; Leva, Alberto; Negri, Elisa; Macchi, Marco
• Is Part Of: IFAC-PapersOnLine. Volume 53:Issue 3(2020)
• Page Start: 307
• Page End: 312
• Publication Date: 2020
• Subjects: Modelling -- simulation for maintenance -- Advanced manufacturing -- Cyber-Physical Systems -- Dynamic models -- First-principle models -- Object-oriented modelling -- simulation; Automatic control -- Periodicals; 629.805
• DOI: 10.1016/j.ifacol.2020.11.049
• Languages: English
• ISSNs: 2405-8963

Abstract

Abstract: The Industry 4.0 is pushing a fast evolution in all manufacturing operations under heterogeneous aspects. Maintenance, in all its numerous declinations along the life cycle of a production asset, is no exception. A myriad of decisions need taking—often on short time horizons, involving different physical and technological domains, and with limited knowledge available. A myriad of data sources need exploiting and interpreting—often poorly structured, requiring reconciliation, and affected by uncertainty. A lot of tools are therefore used—each one conceived for a specific purpose, often leveraging knowledge drawn from different cultures, and dealing with production assets' models that are hard to integrate with one another. We conjecture that the OOMS (Object-Oriented Modelling and Simulation) paradigm can help address such a tough scenario. In this paper we structure and motivate the statement just made, provide high-level supporting examples, and outline future work as for both research and technology.