A knowledge-based decision support system for shipboard damage control

The operational complexity of modern ships requires the use of advanced applications, called damage control systems (DCSs), able to assist crew members in the effective handling of dangerous events and accidents. In this article we describe the development of a knowledge-based decision support system (KDSS) integrated within a DCS designed for a national navy. The KDSS uses a hybrid design and runtime knowledge model to assist damage control operators through a kill card function which supports damage identification, action scheduling and system reconfiguration. We report a fire fighting scenario as illustrative application and discuss a preliminary evaluation of benefits allowed by the system in terms of critical performance measures. Our work can support further research aimed to apply expert systems to improve shipboard security and suggest similar applications in other contexts where situational awareness and damage management are crucial.

► We develop a DSS to enhance shipboard damage detection and counteractions. ► The system is based on a hybrid design/runtime knowledge model. ► We report a fire fighting scenario as illustrative application. ► The system reduces awareness time (–93%), crew need, action time, and cost (–87%). ► Emergency management and security of personnel and ship systems are improved.