Câmara, Rafael AlbuquerqueSão Mamede, HenriqueSantos, Vitor Duarte dos2023-06-212023-06-212019978-989-8533-92-0http://hdl.handle.net/10400.2/14101Disruptive requirements that currently drive the so-called Industry 4.0 (I4.0) are increasingly present in today's industries, where factories are forced to innovate in search of improvement in the quality of manufacturing of products aligned with the reductions of: manufacturing time, environmental and cost impacts with the manufacturing process. For this, an Information Systems (IS) architecture is proposed to reduce the negative impacts on an industrial operation caused by manual configuration failures in manufacturing systems, machines that are worn out in the production process and unstable integrations between industrial subsystems. The suggested SI model uses the Viable Systems Model adapted to Maintenance 4.0 technologies (Cyber-physical Systems (CPS), Manufacturing Execution Systems (MES), Data Mining and Digital Manufacturing concepts/technologies) with the goal to create an automatic purchase flow to replace parts by mitigating impending failures in industrial equipment through data mining and predictive analysis.engMaintenance 4.0Viable systems modelManufacturing Execution Systems (MES)Digital manufacturingCyber-physical systemsData Miningconference object10.33965/bigdaci2019_201907L016