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Accession Number ADA574208
Title Analysis of a Simulation Experiment on Optimized Crewing for Damage Control.
Publication Date Jun 2012
Media Count 58p
Personal Author R. Chow
Abstract 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.
Keywords Automation
Canada
Crews
Damage control
Fire response
Floods
Foreign reports
Ipme(Integrated performance modelling environment)
Modelling and simulation
Models
Naval personnel
Naval vessels
Optimization
Optimized crewing
Ship fires
Simulation


 
Source Agency Non Paid ADAS
NTIS Subject Category 70D - Personnel Management, Labor Relations & Manpower Studies
92A - Job Training & Career Development
92C - Social Concerns
47A - Marine Engineering
57U - Public Health & Industrial Medicine
41I - Job Environment
Corporate Author Defence Research and Development, Toronto(Canada).
Document Type Technical report
Title Note Technical rept.
NTIS Issue Number 1318
Contract Number N/A

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