DENIS FERNANDO

• Manage and supervise all aspects of steel production using induction furnaces(30 MT), ensuring consistent output quality and adherence to production targets.
• Coordinate melting operations, charge mix planning, furnace loading/unloading, tapping, and slag removal with strict compliance to metallurgical specifications.
• Lead a team of furnace operators, maintenance personnel, and support staff, ensuring safe and efficient work practices in a high-temperature environment.
• Optimize furnace performance by monitoring power consumption, refining cycles, and heat durations to reduce energy costs and improve yield
• Implement process control techniques and quality assurance procedures to maintain steel chemistry and minimize rework or rejection rates
• Oversee raw material procurement and inventory (sponge iron, scrap, ferroalloys), coordinating with the procurement and stores teams to avoid production delays.
• Enforce workplace safety standards in accordance with ISO and OSHA regulations, conducting regular training and safety drills.
• Collaborated with other departments to ensure seamless production flow and delivery timelines.
• Initiated and led continuous improvement projects resulting in cost reduction and improved furnace turnaround times.
• Maintain accurate production reports, shift logs, and dashboards for senior management review

Key achievements

• Successfully ramped up production capacity from 320MT/day to 360 MT/day without compromising quality.
• Delivered a record-breaking monthly output of 11,000 metric tons, through strategic scheduling, raw material planning, and process optimization.
• Improved furnace efficiency by boosting heat cycles per patching from 15 to 65, achieved through targeted research and refinement of ramming practices.

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• Sourced materials to keep up with production goals and meet customer demands.
• Resolved issues quickly to maintain productivity goals.
• Reviewed work for quality and compliance with company standards and design specifications.
• Managed internal operational standards and productivity targets.
• Estimated labor requirements to support anticipated workload.