Maximise equipment uptime
Analyse system dependencies and failure modes to identify critical components that impact availability, production continuity and maintenance windows.
MADE helps mining companies manage equipment reliability, safety risk, unplanned downtime, diagnostics and lifecycle cost through a connected Digital Risk Twin approach.
Equipment failures, unplanned downtime and safety incidents can lead to significant financial losses and reputational damage. MADE empowers mining companies to proactively manage these challenges through model-based RAMS across reliability, availability, maintainability and safety.
Read on to discover the power of Model-based RAMS for mining operations — from Digital Risk Twins to diagnostics, FTA, FMEA, FHA, repairable systems simulation and lifecycle optimisation.
MADE enables the creation of a Digital Risk Twin of mining assets and systems. This model-based approach allows engineers to simulate how physical and functional failures propagate through mining systems, assess risks and validate maintenance and mitigation strategies before issues arise.
MADE supports mining operators managing heavy equipment, remote operations, safety-critical assets, maintenance disruption and lifecycle cost pressure.
Analyse system dependencies and failure modes to identify critical components that impact availability, production continuity and maintenance windows.
Identify high-risk design elements early and optimise mining equipment and processes for maintainability, resilience and repairability.
Anticipate hazard scenarios and design safer systems for environments involving heavy machinery, hazardous materials and remote operations.
Use structured taxonomies and workflows to create consistent processes across teams, sites and globally distributed operations.
Integrate RAMS earlier in design and operations to reduce rework, improve decision-making and optimise spare parts planning.
Use Digital Diagnostic Twins to model fault propagation paths and support faster fault isolation, root cause analysis and restoration.
MADE creates a Digital Risk Twin that connects system structure, failure behaviour, reliability data, safety analysis, diagnostics and maintainability information into a living engineering model.
This helps mining teams move beyond static spreadsheets and isolated analyses to understand the system-level impact of failures, maintenance decisions and operational changes.
MADE supports practical RAMS, diagnostics and lifecycle decision-making across critical mining assets and infrastructure.
Analyse failure modes for haul trucks, conveyors, drilling equipment and other critical mining assets.
Use Digital Diagnostic Twins to support condition-based diagnostics, rapid fault detection and predictive maintenance.
Analyse power systems, ventilation infrastructure and other operationally critical mining systems.
Evaluate maintenance crew efficiency, repair strategies, resource allocation and operational availability.
Integrate design and sustainment knowledge to align engineering, operations and maintenance decisions.
Model fault propagation paths, identify isolation points and support faster recovery from maintenance disturbances.
MADE brings FTA, FMEA, FHA, diagnostics, PHM and model-based lifecycle analysis together in one environment.
MADE’s automated Fault Tree Analysis helps mining teams identify and mitigate critical system risks consistently. By tracing failure pathways from top-level events to root causes, MADE enhances safety, supports compliance and reduces downtime across mining operations.
MADE’s automated FMEA enables early detection of potential failure modes across critical mining assets and systems. Its model-based approach makes analysis high-integrity and rapidly repeatable as designs and models update.
MADE’s FHA helps mining maintenance and engineering teams assess and prioritise functional failures before they lead to hazards. It supports safer system design by linking functions to risks and identifying critical loss scenarios early.
MADE helps teams move from fragmented analysis to connected engineering intelligence.
MADE enables mining teams to unify reliability, safety, maintainability, diagnostics and lifecycle analysis within a single model-based engineering framework — helping operators reduce downtime, improve safety and make better asset decisions.
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