Towards the Application of Process Mining in the Mining Industry—An LHD Maintenance Process Optimization Case Study

Inefficiencies in mine equipment maintenance processes result high operation costs and reduce sustainability. However, current methods for process optimization are limited due to a lack of access structured data. This research aims test the hypothesis that mining techniques can be used optimize workflow using low-level is achieved through process-oriented analysis where data processed as an event log input developed model. We present Discrete-Event Simulation generate from analyze with mining. A case study underground block caving gain operational insight. The diagnosis mine’s showed loss 23,800 operating hours per year, non-production cost about 1.12 MUSD/year. Process obtained non-biased representation aided identifying bottlenecks inefficiencies processes.