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    XCMG’s XDE130 in Indonesia: fleet sizing and haulage notes for mine planners

    February 23, 2026|

    Reviewed by Tom Sullivan

    XCMG’s XDE130 in Indonesia: fleet sizing and haulage notes for mine planners

    First reported on International Mining – News

    30 Second Briefing

    XCMG’s 130 t class XDE130 diesel-electric mining truck is gaining traction in Indonesia, complementing the OEM’s larger 230 t class XDE260 already deployed at Exxaro Grootegeluk in South Africa, Ok Tedi in PNG, Serbia Zijin Copper and Rio Tinto’s SimFer Simandou project. The XDE130 targets coal and overburden haulage where pit geometry, ramp conditions and fleet economics do not justify ultra-class trucks, offering a smaller turning radius and lower ground pressure than the XDE260. For mine planners, the truck broadens options for right-sizing mixed fleets and matching haul profiles to mid-range payloads.

    Technical Brief

    • Lessons from XDE260 operations at Grootegeluk, Ok Tedi, Serbia Zijin and Simandou are informing XDE130 control logic and maintenance regimes.

    Our Take

    Our database shows XCMG’s haul truck push ranges from 130 t XDE130 units in Brazil to 220–230 t XDE260 trucks ordered by Exxaro Resources for the Grootegeluk coal mine, signalling a deliberate build-out of a full-size fleet offering that can be standardised across coal and copper operations.

    With XCMG simultaneously supplying diesel-electric trucks into coal (Grootegeluk) and developing ultra-class battery-electric machines with Fortescue for iron ore, operators in Indonesia adopting the XDE130 are likely to see a clearer upgrade path towards lower-emission fleets within the same OEM ecosystem.

    Among the 1086 Mining stories in our coverage, XCMG appears both in cost-competition narratives against European concrete equipment brands and in high-end decarbonisation projects, suggesting that its presence in Indonesian coal and copper supply chains will put pricing and technology pressure on established haul truck suppliers.

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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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