Optimizing Efficiency Of Manufacturing Operations

India's Largest Private Steel Manufacturer

Client Overview

Client is a market leader but had concerns that they should substantially improve in terms of Availability (Machine up & running), Performance (Production at optimum efficiency), and Quality (Every pipe produced meets quality standards). Client asked us to identify specific factors that can decrease productivity losses by 15%.

Business Challenge

A non-invasive, data-driven solution that can utilize historical and current data already captured at the manufacturing plant to detect losses and opportunities to improve production efficiency.

Solution Impact
  • 260-tonne loss identified

  • 60-65% Increase in productivity

  • Cost savings from Limited unplanned downtime, optimised equipment lifetime (owing to regular repair and maintenance)

India's Largest Private Steel Manufacturer
Our Approach
  • Custom predictive maintenance solution that detects upcoming failures, equipment downtime and other key performance parameters.

  • Array of ML models that detect unaccounted losses.

60-65% Increased Productivity
260 Ton Identify Unaccounted Losses
Improved Product Quality
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