Business Excellence Drivers – Asset Optimisation

Resilient assets, reliable performance

We operate a large and complex portfolio of critical metal and mining assets, essential to the economy and energy transition. We therefore deploy innovative measures to effectively manage these assets.
This ensures safer, sustainable, and more productive operations with best-in-class reliability. It further enhances our ability to meet customer expectations while contributing meaningfully to national priorities. Through multiple focused initiatives in FY2025, we have enhanced the asset lifetime, efficiency, and overall recovery, unlocking long-term value.
ZINC AND LEAD RECOVERY IMPROVEMENT

Our Rajpura Dariba Mill, commissioned in FY2024, faced challenges in reaching the designed recoveries of zinc and lead. After studying and analysing its performance, we undertook several initiatives in FY2025, including changing grinding media size, water balancing in the circuit, and reagent dosage optimisation in the flotation circuit, which helped improve recoveries.

Zinc recovery at RDM

87.0%

In March 2024

90.7%

In March 2025

Lead recovery at RDM

59.2%

In March 2024

70.5%

In March 2025

WORKING CAPITAL OPTIMISATION THROUGH SILVER WIP LIQUIDATION

During the year, we maximised silver production by reducing silver work-in-progress (WIP) from 23 tonnes to 9.6 tonnes. This was achieved by cutting silver grams per litre (GPL) in electrolyte from 6.8 MT to 3.7 MT through continuous ElectroMetals Electrowinning (EMEW) operation and treatment of electrolyte. This was further supported by the timely despatch of all WIPs to the smelters for their conversion.

ENHANCING THE VALUE-ADDED PRODUCTION

We enhanced VAP production efficiency by reducing the Jumbo mould changeover time by 2 hours and the cooling time per batch by 10 minutes. This increased VAP production capacity by 13 kt.

REDUCTION IN ANNUAL SHUTDOWN DAYS OF SKS FURNACE

We optimised the annual shutdown of the SKS furnace by breaking down the relining job into sub-activities and benchmarking them. This reduced the shutdown time from 22.5 days to 16.8 days in FY2025.