The MaxGrip consultants applied Reliability Centered Maintenance on the assets.
Step 1. Criticality Analysis
The team performed a criticality analysis on the assets. They prioritized the assets based on their importance and the consequences of their failure. This includes considering factors like safety risks, environmental impact, operational downtime, and repair costs. The assets were assigned a criticality score based on the likelihood and severity of failure. The outcome was validated with the company’s internal experts from different departments including maintenance, inspection and operations.
Step 2. Assign Maintenance Strategies
- Preferred Strategy: Condition Based Monitoring
Are we able to measure the critical failure mode of the asset (e.g. by using existing sensors or by applying other new techniques)?
- Inspection by Operators
If measuring the asset condition is not possible, we consider having operators inspect the condition of the asset. This is an option if the operator can do the work as part of his regular inspection rounds, if the work is feasible for the operator (e.g. the asset can be inspected and a specialist is not needed).
- Preventive Maintenance in Planned Downtime
If both of the above options are not possible, we will perform preventive maintenance on the critical asset between two offloading cycles (or in a turnaround).
Step 3. Clustering of Maintenance Plans
Based on the analysis and considerations as stated above, the MaxGrip team formulated the new preventive maintenance plans (and work instructions) for the assets which are based on their criticality and prioritization. These plans were then clustered together with existing plans in such a way that execution would be feasible, keeping in mind all of the constraints for offloading arms on such a FLNG.
The plans are handed over to the client’s team who will then take care of the execution of the maintenance strategies.
Optimization of SAP EAM system
For the same FLNG, a large MaxGrip team works remotely on the improvement of the SAP PM implementation. In this way, the organization is able to put more trust in the system’s data and processes. This includes getting insights into risks and safety critical equipment which offers the company more control. Additionally, SAP PM is made ready to easily migrate to SAP S4HANA. The long-term project will continue to at least 2026.