Home / Case Studies / Real-Time Production Monitoring &ERP-Integrated Shop-Floor Visibility
Automotive Stamping

Real-Time Production Monitoring &
ERP-Integrated Shop-Floor Visibility

Industry: Automotive Stamping
Solution: M-Connect Industrial IoT Platform
Overview

A leading manufacturer in Coimbatore has grown from a transport operator into a technology-driven manufacturing organization with 19 manufacturing plants in India and one facility in the United States, generating an annual turnover exceeding USD 200 million.

They manufactures:

  • Automotive Timing & Drive Chains
  • Sprockets, Auto Tensioners & Guides
  • Fine Blanked Components
  • Precision Machined Parts
  • Belts & Rubber Products

The Pongalur Unit in Coimbatore focuses on the production of stamping and precision automotive components. As production complexity increased, the facility faced several operational challenges in managing stamping machine performance and shop-floor visibility.

PONGALUR STAMPING FACILITY — BEFORE M-CONNECT MACHINE 1 ? MACHINE 2 ? MACHINE 3 ? No real-time data · No ERP sync · Manual recording only

BEFORE M-CONNECT: STAMPING FACILITY OPERATED WITH ZERO DIGITAL SHOP-FLOOR VISIBILITY

Objective

The Objective

Connection of stamping machines using HMI-based industrial gateways
Real-time capture of machine operational states
Operator login and work order tracking
Machine-level energy consumption monitoring
Integration with the organization's SAP ERP system
Challenges

The Challenges

Production visibility and traceability gaps at their stamping facility

Limited Production Visibility
The facility lacked real-time visibility into stamping machine operations. Production teams did not have accurate data on machine running time, idle time, or OFF states, making it difficult to assess actual machine utilization.
Downtime Tracking Gaps
Downtime logging relied on manual recording, which resulted in inconsistent reporting of stoppages and incomplete identification of downtime causes. This limited the ability to conduct reliable downtime analysis and implement corrective actions.
Energy Monitoring Limitations
Machine-level energy consumption was not monitored in relation to specific work orders, making it difficult to analyze energy usage across production activities.
Operator & Work Order Visibility
The facility did not have a structured system to track which operator was running which work order on which machine during a specific shift, creating challenges in operational traceability and production accountability.
Solution

Strategy & Solution

To address these challenges, Maestro Technology Services Pvt. Ltd. deployed the M-Connect Industrial IoT Platform across the stamping production environment. The deployment introduced machine-level monitoring, production traceability, downtime management, and energy tracking, all integrated with the organization's existing enterprise systems. This enabled seamless digital synchronization between ERP-based production planning and real-time shop-floor execution.

1
Connection of stamping machines using HMI-based industrial gateways
2
Real-time capture of machine operational states
3
Operator login and work order tracking
4
Machine-level energy consumption monitoring
5
Integration with the organization's SAP ERP system
M-CONNECT + SAP INTEGRATION ARCHITECTURE Stamping Machine IoT Gateway M-CONNECT Platform SAP ERP Integration Dashboard Reports & Alerts

REAL-TIME DATA FLOWS FROM STAMPING MACHINES THROUGH M-CONNECT DIRECTLY INTO SAP ERP

Technology

Technology

The deployed system established a connected manufacturing environment where machine signals, operator activity, and production information were captured and analyzed in real time.

01 — Monitoring

Real-Time Machine & Operator Monitoring

The M-Connect dashboard provided complete visibility into machine operations and operator activity. The system captured:

  • Operator login details
  • Assigned work orders
  • Shift schedules
  • Real-time machine states such as Running, Idle, and OFF

This enabled full operational traceability, identifying who operated which machine, on which job, and for how long.

02 — Downtime

Downtime Monitoring & Interlock Logic

To ensure accurate downtime reporting, an interlock-based downtime management mechanism was implemented. Whenever a machine stoppage occurred, operators were required to select a standardized downtime reason code before restarting the machine. Examples included:

Breakdown Maintenance Material Shortage

The system allowed machine operation to resume only after a reason code was entered, ensuring structured and auditable downtime records.

03 — Reporting

Production & Machine Utilization Reporting

M-Connect automatically generated detailed reports on machine performance including:

  • Running time
  • Idle time
  • OFF time

Reports were available in shift-wise, daily, and monthly formats, enabling production teams to analyze machine utilization trends and improve operational efficiency.

04 — Energy

Machine-Level Energy Monitoring

Energy monitoring modules were deployed to capture real-time power consumption for each stamping machine. Energy usage was recorded:

  • Machine-wise
  • Shift-wise
  • Work order-wise

This enabled the organization to analyze energy consumption against specific production jobs, supporting cost optimization and energy efficiency initiatives.

Conclusion

Conclusion

The deployment of M-Connect enabled their Unit to establish a fully connected stamping production environment. Machine states, operator activity, energy consumption, and production information are now captured and analyzed in real time, aligned with SAP ERP operations.

"This enabled seamless digital synchronization between ERP-based production planning and real-time shop-floor execution."
Want to achieve similar results?
Talk to our team for a tailored deployment plan for your facility.
Get in Touch
Explore More

Related Case Studies & Articles

Case Study Traceability for High-Precision Automotive Components Digital identification & quality-linked process control Case Study Digital Monitoring of Welding Machine Operations Utilization visibility for fabrication environments Article Using IoT to Monitor Machine-Level Energy Consumption 5 min read
Chat with us