Case studies / EAM
Case study · EAM
Transforming heavy machinery fleet operations.
A civil engineering enterprise ran a vast fleet of heavy machinery on Excel spreadsheets and physical logbooks. RAZYNE mapped the operation, then put a lightweight EAM on top of it.
- Industry
- Civil engineering (BTP) & heavy machinery
- Focus
- Enterprise asset management (EAM) & maintenance workflows
- Client
- Confidential
- 65%decrease in maintenance problems
- 50 daysless equipment immobility per year
- 100%traceability and documentation
01 / The challenge: before the ERP
A fleet managed outside any structured system.
Maintenance planning and fleet management were coordinated through disconnected Excel spreadsheets and physical logbooks. Without a central system, the operation hit severe bottlenecks.
- Opaque asset history. No reliable record of past breakdowns, lifecycle costs, or technical requirements for individual assets.
- Undefined governance. Unclear rules on who was authorized to operate or repair specific equipment, which left gaps in accountability.
- Compliance disconnect. No link between the physical assets on the ground and the documentation required to handle them.
02 / The approach: mapping, then integration
The delta between how it was and how it should be.
Rather than forcing a heavy off-the-shelf package onto an unprepared workforce, RAZYNE ran a detailed operational mapping phase first.
- Data architecture. A strict data profile for every chassis and machine: asset history, technical requirements, and lifecycle stage.
- Role-based governance. Permissions that define who may handle equipment, under what conditions, and in which locations.
- Targeted integration. A lightweight EAM designed around the realities of a BTP worksite, so field personnel could adopt it without friction.
03 / The results: after the ERP
Clean data and structured workflows, measured.
The move to clean data and structured workflows produced immediate, quantifiable improvements. Personnel now have a clear, reliable structure for their daily maintenance tasks.
Impact on immobility. By structuring the maintenance pipeline, the enterprise sharply reduced the days heavy machinery sat immobile on worksites waiting for a diagnosis or an approval, which raised fleet return and project uptime.
04 / Looking forward: beyond the ERP
From reactive repair to proactive management.
With a reliable data foundation in place, the enterprise has moved from reactive problem-solving to proactive management. The next phase uses this clean data for predictive maintenance forecasting and deeper operational intelligence.
Tech for the Gemba, not for the gimmick.