Maintenance Management Model: An 8–12 Month Process Improvement and Standardization Program
In manufacturing plants, unplanned downtime, high failure costs and fragmented maintenance processes directly drag productivity down. Grupas' Maintenance Management Model is an 8–12 month, 3-phase corporate transformation program that systematizes maintenance operations across 8 main categories and 32+ activity steps: Phase 1 – Core Infrastructure (standardization of systems, processes and competencies), Phase 2 – Optimization (data-driven management, RCM, IoT and digital transformation), Phase 3 – Sustainability and Excellence (TPM deployment, predictive maintenance, energy management and world-class maintenance practices).
The program covers the entire maintenance ecosystem — from technology and machinery management to unplanned downtime management, from 5S and visual management to autonomous maintenance, from preventive maintenance to human resources competency matrices — with a weekly roadmap and clear KPI targets.
Benefits for Your Company
- Reduced downtime losses: Up to 20% decrease in unplanned downtime, up to 15% improvement in MTTR, 20% reduction in critical failures.
- Higher productivity: OEE gains of +5–8 points in Phase 2 and up to +10 points in Phase 3; 30% reduction in minor stoppages.
- Data-driven decision making: 95%+ data accuracy, BI dashboards and KPI cockpits with a reporting cycle of less than 1 day.
- Cost and inventory control: 8% savings in unit maintenance cost, budget deviation below 5%, 97%+ inventory accuracy, 20% shorter lead times.
- Predictable maintenance: Increasing PdM coverage to over 60% through sensorization, CBM and ML-based early warning.
- Sustainability: 8% reduction in energy intensity, 5% reduction in CO₂ emissions and ISO 50001 alignment.
- A strong maintenance culture: Lasting continuous improvement capability through skill matrices, cross-training, Kaizen and TPM.
Who Is It For?
Manufacturing plants targeting maintenance excellence, plant and technical services managers, maintenance/production managers, and corporate organizations seeking to improve equipment reliability, planned maintenance ratio and asset performance.
