Implementation of the PIPER Downtimes System for Operational Excellence and Downtime Management at Mansfield Minera S.A.

Salta, Argentina

Fortuna Silver – Lindero Mine

Salta, Argentina

Mansfield Minera S.A. implemented PIPER Downtimes to automate downtime event management by series and lines, eliminating manual logging and ensuring reliable calculation of critical maintenance KPIs. The result: real-time monitoring, automated reporting, and a 10% reduction in maintenance costs.

Reliability and Automation in Downtime Management

Mansfield needed a comprehensive maintenance management solution to replace manual processes and ensure accurate calculation of key indicators. Key requirements included:

  • Automated downtime event management, organized by series and line, instead of manual logging.
  • Real-time monitoring of maintenance KPIs, without relying on periodic consolidation.
  • Automated reporting, eliminating dependence on manual Excel templates.
  • Integration with other organizational applications, for a more efficient flow of information between systems.
  • Greater reliability in downtime calculations, overcoming the limitations and inconsistencies of manual logging.

PIPER Downtimes by Series and Lines

PIPER Downtimes was implemented, configured specifically to organize and monitor downtime events by series and lines:

  • Downtime management system by series and lines, improving visibility and control across operations.
  • Process- and critical-equipment-specific model, enabling automatic downtime event generation from status signals — with no manual intervention.
  • Detailed solution configuration: equipment type, name, system, component, and failure mode, ensuring a thorough and accurate record.
  • Administration module, letting users enter predefined information for downtime logging, streamlining data entry and enabling root-cause reporting.
  • Configured maintenance calendar, for efficient planning and scheduling of maintenance activities that optimizes equipment availability.
  • KPI formulas: Availability, Utilization, MTTR, MTBF, Productivity, and Top Ten Failures.
  • Optimized KPI calculation logic, eliminating averages to deliver a precise, realistic view of each indicator — not an approximation.

Measurable Operational Impact

  • Optimized data-recording workflow, increasing efficiency and accuracy in capturing operations and maintenance data.
  • More agile decision-making, with a faster process for executing action plans.
  • Real-time monitoring of equipment availability and utilization, enabling immediate problem identification.
  • Indicator reporting with visualization, alongside historical trends, providing valuable input for analysis and planning.
  • Successful integration with other applications, improving communication and data flow across systems.
  • 10% reduction in maintenance costs, driven by greater operational efficiency and better resource optimization.

Why It Matters

  • Reliable, realistic KPI calculations, by eliminating averages and reflecting operations as they actually occur, not an approximation.
  • Automatic downtime event generation from status signals, dramatically reducing the manual workload on the maintenance team.
  • Root-cause traceability, thanks to the administration module that structures information from the moment an event originates.
  • More efficient maintenance planning, supported by an integrated calendar that optimizes equipment availability.
  • Combined historical and real-time view, supporting both immediate response and long-term trend analysis.
  • Greater organizational integration, with information flowing to other business applications instead of staying siloed in Downtimes.
  • Direct financial impact, reflected in the 10% reduction in maintenance costs.

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