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Real Time Manufacturing Dashboards for a Leading Indian Food Company

  • Writer: SSM Infotech Pvt. Ltd.
    SSM Infotech Pvt. Ltd.
  • 3 days ago
  • 2 min read

Overview

One of India’s largest food companies operates a state‑of‑the‑art noodle manufacturing facility in South India. To strengthen production visibility, optimize efficiencies, and enable rapid decision‑making across operations, the company partnered with SSM Infotech to deploy iProgressView, an advanced real‑time dashboard and analytics solution.



The initiative empowered plant managers, shift in‑charges, and on‑floor operators with actionable insights—transforming the plant into a smart, data‑driven manufacturing environment.

 

Industry

Food & Beverage (Instant Noodles)


Solution

iProgressView – Real‑Time Production & Quality Dashboards


Challenges

The manufacturing unit faced several operational challenges:

  • Lack of centralized, real‑time visibility across production and quality parameters

  • Manual monitoring of critical KPIs, slowing down corrective actions

  • Integration complexity due to multi‑vendor PLC and SCADA systems

  • Need for remote access and real‑time anomaly alerts for faster response

  • Limited on-floor visibility for operators and shift supervisors


Solution Implemented

SSM Infotech implemented iProgressView, a comprehensive, integrated dashboard solution connected with plant SCADA and multiple PLCs.


Key Solution Components

  • Dynamic dashboards for production, quality, and performance monitoring

  • Real-time alerts for temperature, moisture, weight deviations, and process anomalies

  • Large screen displays at fryer, sheeting, and packing areas for instant awareness

  • Interactive dashboard views for managers and shift in‑charges on their PCs

  • Remote monitoring capability, enabling decision-makers to track plant health from anywhere


Key Features Delivered

1. Process Landscape Dashboards

  • Monitoring of kneader load cells, steam pressure, fryer temperature, cake moisture

  • EGA monitoring and lane-wise weight analysis

  • Historical tracking of error codes and deviations

2. Production & Performance Monitoring

  • OEE dashboards for each line and shift

  • Throughput and downtime analytics

  • Yield monitoring for Maida, palm oil, seasoning, and other key consumables

3. Quality Control Dashboards

  • Moisture tracking for dough, randomizer, and finished cakes

  • Metal detector monitoring with rejection trends

  • In‑process QC checkpoints and compliance tracking

4. Packaging Line Dashboards

  • Sachet dispenser counters, machine speed monitoring

  • Packaging rejection analysis and trend graphs


Impact Delivered

✔ Improved Operational Efficiency

Real‑time visibility enabled faster interventions and optimized production continuity.

✔ Enhanced Product Quality

Instant alerts helped maintain moisture, temperature, and weight within acceptable ranges.

✔ Significant Downtime Reduction

Proactive monitoring allowed teams to address issues before they escalated.

✔ Stronger, Data‑Driven Decision-Making

Interactive dashboards equipped managers with insights to improve planning and performance.

 

Conclusion

SSM Infotech successfully helped one of India’s biggest food companies transform its noodle production operations through real-time digital intelligence. The deployment of iProgressView has become a foundation for smarter, more efficient, and more reliable manufacturing processes—driving measurable improvements across productivity, quality, and plant visibility.

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