OEE Software

Overall Equipment Effectiveness (OEE)

Industry 4.0-related technologies and solutions also make it possible to improve OEE proactively rather than always being reactionary. This takes OEE calculations beyond real-time monitoring of data into predictive modelling of different scenarios.

OEE is a globally accepted measure /KPI for machine productivity. This KPI answers if the machine is running at all, whether it is running in full speed and whether it produces the quality acceptable to the customer. It is measured in percentage. Availability, Performance, and Quality rate.

Industry 4.0 has emerged as the perfect scenario for boosting the application of artificial intelligence (AI) and machine learning (ML) solutions to industrial process monitoring and optimization. One of the key elements on this new industrial revolution is the hatching of massive process monitoring data, enabled by the cyber-physical systems (CPS) distributed along the manufacturing processes, the proliferation of hybrid Internet of Things (IoT) architectures supported by polyglot data repositories, and big (small) data analytics capabilities.

To build a powerful OEE with small data latency close to zero latency, high data durability, complete data distribution. We are use a latest updated platform. Combining two platforms, namely edge quick local data processing, and a cloud system.

Our Experience

We have excellent experience in building OI systems in several multinational companies in Indonesia to companies in the same class as Tbk.

We work from the lowest level of installing sensor relay systems, data loggers, PLCs, Office servers, MS SQL databases, to edge fog, and cloud systems.