Implementation of PIPER Downtimes for Intelligent Downtime Management at Ambatovy

Antananarivo, Madagascar

Ambatovy

Antananarivo, Madagascar

PIPER Downtimes gave a multi-site industrial operation real-time visibility into 40 plants, 120 processes, and nearly 60,000 pieces of equipment — cutting manual event logging to zero and reducing unplanned downtime by 3%.

Managing Downtime Across a Massive Industrial Footprint

Operations and maintenance teams needed a way to track productivity-, quality-, and risk-impacting events across an enormous equipment base — without relying on manual, error-prone data entry. Key requirements included:

  • Real-time equipment monitoring across 40 plants, 120 processes, and approximately 60,000 pieces of equipment.
  • Live maintenance KPIs to increase equipment availability and utilization.
  • Integrated reporting broken down by process, sub-process, and equipment.
  • Zero manual intervention in downtime event generation.
  • Enterprise-wide visualization and interaction for more than 400 users.

A Hierarchical Downtime Management System

PIPER Solutions implemented PIPER Downtimes, structured around a hierarchical model of processes, sub-processes, and equipment, to identify which assets were most critical to operations. Implementation included:

  • Process/sub-process/equipment hierarchy modeling, flagging operationally critical assets.
  • Full solution configuration: allocations, equipment types, and failure modes.
  • Maintenance calendar setup, aligned with plant operating schedules.
  • KPI formula configuration, including OEE, availability, utilization, MTTR, MTBR, and top-ten equipment/failure rankings.

Measurable Gains in Operational Efficiency

  • Redesigned data-recording workflows for operations and maintenance events, improving planning, follow-up, and activity optimization.
  • Real-time monitoring and analysis of equipment, process, and sub-process status — surfacing issues before they escalate into major failures.
  • Large-scale data visualization to identify trends, patterns, and improvement opportunities, supporting data-driven decisions.
  • Eliminated data silos, ensuring a continuous flow of information across systems and departments.
  • Predictive maintenance planning, anticipating failures and optimizing intervention timing.
  • Automated reporting with real-time dashboards for more than 400 users.
  • 3% reduction in unplanned equipment downtime, alongside lower costs and higher equipment availability.
  • Why It Matters

    • Full, real-time visibility of operations at the plant, process, and equipment level.
    • Reduced manual workload and human error in event logging.
    • Increased availability and utilization of critical equipment.
    • Data-driven decision-making with always up-to-date key indicators.
    • System scalability, supporting more than 400 simultaneous users.
    • Measurable reduction in unplanned downtime (3%).

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Solution Implemented

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Implementation of PIPER Downtimes for Intelligent Downtime Management at Ambatovy

PIPER Downtimes gave a multi-site industrial operation real-time visibility into 40 plants, 120 processes, and nearly 60,000 pieces of equipment — cutting manual event logging to zero and reducing unplanned downtime by 3%.

Antananarivo, Madagascar