Every manufacturing company generates lots of data every second or millisecond from Programmable Logic Controllers (PLCs) which could be senor data, servo data, cycle time data, reject data, line/machine health data, etc.
These data contain key insights to specific lines/machines key performance indicators, runnability, its top rejects, health, anomalies, yield, output per shift, etc.
Most of the times these datasets are not extracted or analyzed which contain valuable information which can be insights to steer the direction of any manufacturing process or operation.
Data collection for machine level data is very challenging, time consuming and costly to retrieve, store and manage. Once the data is stored in a database, it takes different skillsets like controls engineering, data engineering, database management, cloud service management, data analysis and data science to evaluate and provide custom solutions.

We leverage this data to provide untapped data insights from machine operations data and their respective process data and macro data associated with them.

We provide custom visualizations to display various analytics trends and insights along with advanced analytics applications for predictive, forecasting and anomaly detection based solutions using machine learning.

Solutions such as Cycle Time Analysis, Yield per line ,Top Reject per line Analysis, Machine Health Analysis using uptime and downtime datasets, Key performance Indicators, Predictive Modeling and Time Series based Forecasting for throughput analysis and predictive maintenance using anomaly detection measures can be leveraged for each use case.