MDIS, which stands for Marine Data Integration System, underscores our commitment to efficiently amalgamating marine data. Within this framework, we engage in the real-time
collection of data for four vessels owned by our clients, exemplifying our dedication to providing comprehensive and timely maritime information solutions.
The Challenge
The maritime company we’re assisting encounters complexities in monitoring abnormalities across their fleet of four ships.
The current process is time-consuming, requiring the team to navigate through multiple vessels to identify and resolve specific issues. This not only leads to prolonged resolution times but also introduces uncertainty about prioritizing abnormalities for immediate attention.
The absence of a streamlined monitoring system further complicates problem resolution, posing challenges in efficiently addressing issues. Additionally, there is an increased risk of overlooking critical abnormalities, adding an extra layer of complexity to the overall monitoring process.
What did
Arsenion do
Our proposed solution entails the development of a sophisticated cloud-based web application specifically designed to collect real-time data from the client’s fleet, consisting of four ships.
This innovative application which is being hosted on our Cloud Server serves as a valuable tool for users, enabling them to swiftly recognize and prioritize abnormalities, thereby streamlining the resolution process.
The intuitive dashboard furnishes essential machine parameters, including engine speed and current alarms, offering users a comprehensive overview.
Additionally, an analytical dashboard facilitates ongoing monitoring and in-depth analysis of fuel consumption for each individual ship. Through this seamlessly integrated solution, our objective is to significantly augment operational efficiency and elevate decision-making capabilities when it comes to managing and addressing ship abnormalities.
The Results
- Easier Alarm & Abnormalities Monitoring
- Improved Fleet Performance
- Data-Driven Analysis
- Enhanced Operational Efficiency
- Optimized Decision-Marking
- Efficient Abnormality Management
