Accession Number:



Analysis of a Simulation Experiment on Optimized Crewing for Damage Control

Descriptive Note:

Technical rept.

Corporate Author:


Personal Author(s):

Report Date:


Pagination or Media Count:



In 2008, a simulation model was developed in the Integrated Performance Modelling Environment IPME to evaluate different crew-automation options for naval damage control. This previous work demonstrated the feasibility and value of applying modelling and simulation to explore a large number of factors related to optimized crewing for damage control, but stopped short of performing detailed statistical analysis on the simulation outputs. The current report re-examines the data collected from the 2008 simulation experiment and subjects them to formal hypotheses testing. In particular, it investigates the effects of automation level, automation reliability, and scenario complexity on damage control effectiveness, where damage control effectiveness was measured by time to complete fire response, number of compartments affected by fire, time to complete flood response, and maximal height reached by floodwater. The analyses compared three automation levels full, medium, and the baseline that were coupled with three crew sizes small, medium and large, respectively, two levels of automation reliability 100 and 75, and two levels of scenario complexity high, medium. Of the studied factors, automation level was found to have the most significant impact on damage control. Full automation was found to perform best in terms of fire response. Both full automation and the baseline were found to outperform medium automation in terms of flood response. Based on these analyses, this report identified a number of strategies for streamlining future development of related simulation models, as well as future data collection and analysis for related simulation experiments. Finally, this report identified a number of directions for future research on the use of modelling and simulation to inform optimized crewing, including the evaluation of different crew-automation options for whole-ship operation.

Subject Categories:

  • Personnel Management and Labor Relations
  • Marine Engineering
  • Safety Engineering

Distribution Statement: