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    Sandvik underground fleet at Kamoa-Kakula: haulage and maintenance lens for engineers

    August 25, 2026|

    Reviewed by Joe Ashwell

    First reported on International Mining – News

    30 Second Briefing

    Sandvik has secured an order from Kamoa Copper SA for 19 Toro® underground trucks and loaders for the Kamoa-Kakula Copper Complex in the Democratic Republic of the Congo, taking the site’s Sandvik underground fleet to more than 100 units. The equipment will support one of the world’s largest underground Sandvik fleets at a single mine, operated by the Ivanhoe Mines–Zijin Mining joint venture. For engineers, the scale signals sustained high-volume, trackless underground haulage and significant long-term demand for OEM parts, maintenance capacity, and fleet management systems.

    Technical Brief

    • Order comprises a mix of Toro® underground trucks and LHDs configured for trackless mining.
    • Fleet standardisation around Sandvik units simplifies spares inventory, tooling, and operator training across multiple declines.
    • Additional Toro® units increase installed haulage capacity without adding fixed infrastructure like shafts or conveyors.
    • High equipment count implies substantial on-site workshop capacity and planned-condition maintenance regimes with OEM support.
    • Scale of deployment provides a reference case for large, trackless mining fleets in deep, high-grade orebodies.

    Our Take

    In our database, Sandvik’s order for 19 Toro units at the Kamoa-Kakula Copper Complex sits alongside recent multi-continent fleet deals with Byrnecut and Lucara, signalling that Sandvik is locking in large, multi-year underground equipment positions across both base and precious metal operations.

    Kamoa-Kakula in the DRC joins Viscaria in Sweden as one of the copper assets where Sandvik is supplying substantial underground fleets, which likely gives Sandvik strong leverage to standardise parts, tooling and service models across high-profile copper operations.

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    Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.

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