idoba.sim Version 2.0: integrated development–production modelling for mine planners
Reviewed by Joe Ashwell
First reported on International Mining – News
30 Second Briefing
idoba has released Version 2.0 of idoba.sim, a cloud-based simulation tool for short-term planning in underground hard rock mines that now models development advance and truck load-and-haul in a single run. Planning teams can simultaneously simulate development headings and both development and production haulage, rather than running separate models for each activity stream. The integrated workflow should improve cycle time analysis, fleet utilisation planning and identification of bottlenecks around development-ore interactions.
Technical Brief
- idoba.sim is explicitly targeted at underground hard-rock operations, not open-pit or coal workflows.
- The tool is positioned for short-term planning horizons rather than life-of-mine or strategic schedules.
- Simulation logic is configured around truck load–haul cycles, rather than generic discrete-event templates.
- Workflow is designed for planning teams, not control-room dispatch or real-time fleet management.
- Integration is delivered as a single simulation environment, avoiding manual transfer between separate models.
Our Take
idoba.sim v2.0 sits within a relatively crowded field of 40 Software stories in our database, but there are comparatively few tools explicitly marketed at unifying development and production modelling, which may give idoba a clearer niche with mine-planning teams.
International Mining’s presence across both this idoba piece and items like Boliden’s ‘green fleets’ rollout suggests the publication is increasingly framing software such as idoba.sim as an enabler for decarbonisation and fleet-optimisation decisions rather than as stand‑alone IT products.
With no specific commodity or region attached, idoba.sim v2.0 appears to be pitched as commodity‑agnostic, which typically appeals to multi-asset operators looking to standardise planning workflows across copper, nickel, zinc and other portfolios highlighted in our recent coverage.
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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