Case Study

Accelerating Industry 4.0 Adoption with AWS IoT and Real-Time Manufacturing Analytics

Gador, a leading Argentine pharmaceutical manufacturer, lacked real-time visibility into its production lines as it pursued an Industry 4.0 strategy. Netrix deployed an industrial IoT architecture on AWS with a real-time data lake and dashboards, cutting data latency from 24 hours to 4 hours and laying the groundwork for predictive maintenance.

80+
Years in Business
4 hours
Data Availability (down from 24 hours)
Real-Time
Anomaly Detection
Predictive
Maintenance Foundation

The Client

Gador is one of Argentina's leading pharmaceutical companies, with more than 80 years of experience producing high-quality medications for patients throughout Argentina and international markets.

The Challenge

Gador wanted to modernize its manufacturing operations as part of a broader Industry 4.0 strategy. Key challenges included:

  • Limited visibility into production line performance
  • Delayed access to operational data
  • Need for predictive analytics and anomaly detection
  • High infrastructure and storage costs
  • Difficulty leveraging data for operational improvements

The company needed a platform capable of connecting production systems directly to the cloud.

The Solution

Netrix designed and deployed an industrial IoT architecture on AWS. Key deliverables included:

  • Cloud integration of production line equipment
  • AWS IoT connectivity framework
  • Industrial data lake implementation
  • Real-time data ingestion and analytics
  • Tableau dashboards for operational visibility
  • Near real-time anomaly detection capabilities

The Implementation

  • Industrial device integration using AWS Greengrass
  • Secure OPC-UA communications
  • Cloud data lake architecture deployment
  • Real-time analytics and visualization rollout
  • Operational reporting enablement

The Results

Outcome AreaDelivered
Improved Data Availability
  • Data availability improved from 24 hours to every 4 hours
Enhanced Operational Performance
  • Faster identification of production issues
  • Improved responsiveness to operational events
  • Better decision-making capabilities
Cost Optimization
  • Reduced data storage and processing costs
  • Lower reliance on on-premises infrastructure
Industry 4.0 Foundation
  • Support for predictive maintenance initiatives
  • Improved asset management capabilities
  • Scalable manufacturing data platform

The Transformation

BEFORE
AFTER
  • Data available every 24 hours
  • Limited production visibility
  • Siloed manufacturing data
  • Reactive maintenance model
  • Higher infrastructure costs
  • Data available every 4 hours
  • Near real-time operational insights
  • Centralized industrial data lake
  • Predictive maintenance foundation
  • Optimized cloud architecture
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Unlock Industry 4.0 with Real-Time IoT Data

Unlock the value of industrial data with IoT, real-time analytics, and cloud-based manufacturing intelligence.