Gador is a leading Argentinian pharmaceutical company founded in 1940. They focus on providing high-quality, affordable medications for people’s health. Their products are trusted by millions of patients worldwide.
In line with their innovative culture, Gador embarked on an Industry 4.0 project to connect their production lines directly to the cloud, where production data would be stored, processed and used to improve analytics capabilities.
The primary goal was to maximize production output while maintaining high-quality standards and minimizing resource waste. Integration of IoT sensors and real-time data analytics was key to allow immediate adjustments to production processes, driven by insightful and predictive analytics.
The first step was to collect, organize, and store Gador’s industrial data in AWS in an operational data store for “hot” data (frequently accessed) and an industrial data lake for “warm/cold” data (infrequently accessed). This allowed defining virtual assets and asset hierarchies to provide structure and context to the data. With this simplified data collection process, Gador gained new insights of their operational metrics from all data sources.
The project had two main stages: first, the installation of an AWS communication gateway (Greengrass) that communicates with the line processors via the OPC UA protocol. In turn, this gateway communicates with AWS cloud services through a secure and encrypted connection. Secondly, process data is ingested using the Firehose data stream service, which performs buffering and then stores the raw data in an S3 bucket.
This has allowed Gador to leverage data insights faster and thus make more timely business decisions, a strategy they will soon expand to process commercial data in the same datalake in the AWS cloud.
The IoT sensors on Gador’s production machinery captured critical data points, transmitted to AWS IoT Core. Data flowed through AWS Lambda to Amazon Kinesis for processing, enabling near real-time anomaly detection. Insights were stored in Amazon S3 and visualized through Tableau dashboards every 4 hours.
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