OVERVIEW
A leading pharmaceutical company needed to optimize its maintenance plans while transitioning from SAP to Maximo. A comprehensive maintenance optimization methodology was implemented to eliminate low-value tasks, introduce Total Productive Maintenance (TPM) practices, and integrate predictive maintenance strategies. The project delivered ready-to-use maintenance plans with measurable time and cost savings, improving asset reliability and maintenance productivity.
INITIAL SITUATION
The company faced a critical challenge during its CMMS migration from SAP to Maximo. Rather than simply transferring existing maintenance plans into the new system, the migration represented an opportunity to rethink and optimize the entire maintenance strategy.
Over time, preventive maintenance plans had grown without systematic review, leading to redundant activities, inefficient scheduling, and tasks that no longer contributed to failure prevention or downtime reduction. Maintenance teams were investing significant effort in low-value activities with limited impact on reliability.
Migrating these inefficiencies into Maximo would have locked in suboptimal maintenance practices. To fully leverage the new CMMS, the organization required a structured and data-driven methodology to assess every maintenance task, eliminate waste, and design optimized maintenance plans aligned with reliability and productivity goals.
THE CHALLENGE
The project required a full maintenance plan optimization while managing the complexity of a large-scale CMMS migration. The main objectives were to:
- Critically evaluate all existing preventive maintenance tasks
- Remove low-value activities that did not improve failure rates or cost-effectiveness
- Introduce Total Productive Maintenance (TPM) and Predictive Maintenance (PDM) approaches
- Create clear technical instructions and operator checklists
- Deliver maintenance plans ready for immediate implementation in Maximo
All activities had to be completed within tight migration timelines, ensuring full maintenance coverage and operational continuity throughout the transition.
THE SOLUTION
A structured five-phase methodology was applied to transform the maintenance program:
Phase 1 – Data Collection & Asset Definition
A criticality analysis was performed, asset hierarchies were defined, and all relevant data was extracted from the legacy SAP system, including preventive maintenance plans, failure history, and technical documentation.
Phase 2 – Functional Decomposition
Each asset was decomposed into functions and components, supported by visual documentation. Failure modes and effects were identified, and every existing maintenance task was mapped to specific components and addressed failure mechanisms.
Phase 3 – Task Elimination
Maintenance activities were systematically reviewed and removed if they were redundant, not applicable, ineffective in reducing failures, misaligned with asset criticality, or offered poor cost-benefit performance.
Phase 4 – Task Optimization
Remaining tasks were optimized by converting time-based activities into condition-based monitoring where possible, adjusting frequencies based on historical data and manufacturer recommendations, and transforming subjective inspections into objective, standardized checks.
Phase 5 – TPM & PDM Integration
New Total Productive Maintenance routines were developed, complete with operator-level instructions and checklists. Predictive maintenance strategies were integrated where feasible, enabling a shift from reactive and time-based maintenance toward condition-based and data-driven approaches.
RESULTS
The optimized maintenance program delivered measurable improvements across key performance areas:
Maintenance Efficiency
- Significant reduction in the total number of maintenance tasks
- Lower maintenance labor hours required
- Reduced equipment downtime for maintenance activities
- Better alignment of skill requirements with task complexity
Program Transformation
- Transition from a purely time-based maintenance model to a combined preventive and predictive approach
- Introduction of TPM practices that empowered operators with routine maintenance responsibilities
- Rebalancing of maintenance activities toward higher-value predictive and replacement tasks
Cost-Benefit Analysis
A comprehensive cost-benefit analysis demonstrated clear improvements compared to the original maintenance program, including reductions in task volume, time investment, downtime requirements, and optimized use of maintenance skills.
Fully optimized maintenance plans were delivered in Maximo-ready format, complete with technical instructions, enabling immediate deployment in the new CMMS without additional configuration or rework.
