(www.MaritimeCyprus.com) Timely and effective maintenance of seagoing vessels is fundamental to the maritime industry’s core business of transporting cargo from A to B as safely and efficiently as possible. Well-maintained ships experience fewer unexpected failures or breakdowns, reducing the potential for accidents, delays and disruptions, while safeguarding the lives of the crews serving onboard.
While vessel maintenance necessarily incurs costs, careful asset management should ultimately lead to savings by preventing more expensive repairs or replacements that could result from neglect or deferred action. Effective maintenance can also help to improve fuel efficiency and reduce other operational expenses by allowing the ship to sail in condition as close to optimal as possible, creating benefits for both the shipping company and the environment.
The evolution of condition-based maintenance (CBM) has helped to increase the effectiveness of vessel care processes, moving away from a reliance on averages and statistical assumptions to an approach tailored specifically to the equipment or asset being maintained. Scheduling maintenance activities based on the actual condition of the equipment, rather than following a fixed calendarbased timetable, allows for resources to be deployed more efficiently and for the impact of maintenance procedures on vessel operations to be minimised.
Introducing and operating an effective set of CBM processes at a modern shipping company can be challenging, but the adoption of analytics-driven methods can have a significant impact in delivering evidence-based change and creating a clear path to improvements in the dependability and efficiency of the merchant fleet.
This white paper aims to provide an overview of how data-driven condition based maintenance (DCBM) processes, utilising the latest analytical models, can help to deliver these benefits to the maritime industry, outlining the challenges that need to be overcome and suggesting potential paths to successful implementation.
For more details, you can download the whitepaper: "The benefits and opportunities of Data-Driven Condition Based Maintenance", below:
Source: LR
