A recent study led by Dhimas Widhi Handani from the Institut Teknologi Sepuluh Nopember in Indonesia has introduced an innovative maintenance scheduling model aimed at enhancing the operational safety of ship machinery. Published in the journal ‘Kapal’, which translates to ‘Ship’ in English, this research addresses a critical concern in maritime operations: the risk management of ship machinery failures.
Ship machinery failures can pose significant dangers, particularly when vessels are at sea. Handani’s research focuses on implementing a risk-based maintenance (RBM) approach to minimize both the frequency and the potential consequences of such failures. The study outlines a comprehensive process that includes identifying potential problems, assessing risks, evaluating those risks, and planning maintenance accordingly.
One of the standout features of this research is the introduction of a new model called ship position estimation. This model allows for the identification of a vessel’s position during its voyage when specific machinery is deemed to be at a high risk of failure. “By recognizing the ship’s position when machinery is at risk, we can prioritize maintenance efforts more effectively,” Handani explains. This proactive approach not only enhances safety but also optimizes maintenance schedules, potentially reducing downtime and associated costs.
The research utilizes system dynamics to simulate each step of the RBM process, providing a robust framework for maritime professionals to follow. As a case study, the analysis focuses on the cooling system pumps of a ship’s main engine, leading to the development of a maintenance interval deemed reasonable when compared to existing standards for pump maintenance.
The implications of this study are significant for the maritime sector. By adopting this model, shipping companies can improve their operational efficiency and safety standards, which are crucial for maintaining competitiveness in the industry. The ability to predict machinery failures and schedule maintenance based on real-time risk assessments can lead to reduced operational costs, less unplanned downtime, and ultimately, safer voyages.
Handani’s research not only contributes to the body of knowledge in maritime engineering but also opens up new commercial opportunities for companies looking to enhance their maintenance strategies. The findings suggest that integrating advanced risk management techniques can lead to a more sustainable and economically viable maritime operation. As the industry continues to evolve, studies like this one published in ‘Kapal’ are vital for driving innovation and improving safety practices at sea.
