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Improving Error Detection and Performance in Steel Manufacturing with IoT and OpenLegacy

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 Improving Error Detection and Performance in Steel Manufacturing with IoT and OpenLegacy - IoT ONE Case Study
Technology Category
  • Application Infrastructure & Middleware - Database Management & Storage
  • Infrastructure as a Service (IaaS) - Cloud Databases
Applicable Industries
  • Cement
  • Equipment & Machinery
Applicable Functions
  • Maintenance
  • Product Research & Development
Use Cases
  • Additive Manufacturing
  • Root Cause Analysis & Diagnosis
Services
  • System Integration
  • Training
The Challenge
JSW's steel manufacturing plants had multiple machines with various sensors, but lacked a standard way of reporting and handling errors, leading to financial losses.
The Customer
About The Customer
JSW is a multi-billion dollar company that plays a key role in India's steel, energy, cement, and infrastructure industries. They focus on differentiated product mix, technology, execution, and sustainability.
The Solution
JSW used OpenLegacy's platform to generate microservice-based APIs that facilitated data transfer between machines and the central Oracle database. OpenLegacy also enabled seamless integration with SAP ECC Quality Control module.
Quantitative Benefit
  • The use of OpenLegacy's platform led to cost savings, faster implementation, and better utilization of existing teams. It eliminated the need to hire external development resources or invest in training on multiple proprietary protocols.

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