Abstract:
Adven Surya, FX. 2025. “Optimization of Oily Water Separator Maintenance to
Support Bilge Water Separation Process on MV. Glovis Daylight”
The background of this research stems from the suboptimal implementation of Oily Water
Separator (OWS) maintenance on MV. Glovis Daylight. This condition has led to
decreased effectiveness in bilge water separation and poses a risk of violating MARPOL
Annex I regulations. The issue is significant, as previous studies have rarely addressed
the direct correlation between the execution of the Planned Maintenance System (PMS)
and the efficiency of the bilge water separation process.
The research questions focus on: why OWS maintenance has not been carried out in
accordance with the PMS, and what are the main causes behind the inadequate amount of
bilge water being separated during each filtration cycle.
This study employs a qualitative descriptive approach. Data collection methods include
direct onboard observations, interviews with engine officers, technical documentation
analysis, and literature reviews. Analytical tools such as fishbone diagrams are utilized to
identify root causes, followed by evaluation of proposed alternative solutions.
The findings reveal that the primary causes of PMS noncompliance include competing
work priorities, limited availability of spare parts, adverse weather conditions, and low
crew awareness regarding the importance of OWS procedures. The reduced effectiveness
in separation was mainly due to clogged filters, poor bilge water quality, and internal
component damage. Once proper maintenance procedures were implemented, the OWS
system demonstrated notable improvements in filtering capacity and operational
efficiency.
In conclusion, optimizing OWS maintenance significantly enhances the effectiveness of
bilge water separation and promotes compliance with environmental standards.
Recommendations include strengthening PMS implementation, ensuring the periodic
availability of spare parts, conducting technical and procedural crew training, and
adopting automated sensor-based monitoring systems.
