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F. Ansari, R. Glawar, T. Nemeth:
"PriMa: a prescriptive maintenance model for cyber-physical production systems";
International Journal of Computer Integrated Manufacturing, 32 (2019), 4-5; 482 - 503.

Cyber-physical production systems (CPPS), as an emerging Industry 4.0´s technology, trigger a paradigmshift from descriptive to prescriptive maintenance. In particular, maintenance management approachesnowadays are more and more transformed to (semi-) automated knowledge-based decision supportsystems. This paper is intended to examine existing approaches and challenges towards rethinkingmaintenance in the context of Industry 4.0 and thus contributes to the literature of productionmanagement and planning, by introducing a novel prescriptive maintenance model (PriMa). PriMa iscomprising of four layers (i.e. data management, predictive data analytic toolbox, recommender anddecision support dashboard as well as an overarching layer for semantic-based learning and reasoning).The integrated approach of PriMa enhances two functional capabilities, namely i) efficiently processinglarge amount of multi-modal and heterogeneous data collected from multidimensional data sourcesand ii) effectively generating decision support measures and recommendations for improving andoptimising forthcoming maintenance plans correlated with production planning and control (PPC)systems. An industry-oriented proof-of-concept study has been conducted to explore the feasibility ofapplying PriMa in real production systems by implementing a decision support solution and achieving asignificant reduction of downtime. Finally, future research directions in this area are outlined.

Maintenance; prescriptiveanalytics; predictiveanalytics; productionplanning; CPPS; smartfactory

http://dx.doi.org/10.1080/0951192X.2019.1571236