Work and rest planning as a way of crew member error management

Human error prevention is very important to support the safety and efficiency of human-machine systems. The approach to space crew member management error is considered in this paper. The data collected during 14 "Mir" station missions were analyzed to substantiate this approach. As a result of data processing, the significant (p<0.05) correlation of crew member errors with work and rest schedule tensity has been revealed. This finding was used to work out the mathematical model describing the dependence between the frequency (the probability) of crew member errors and work and rest schedule tensity. Based on the model, the algorithm of error management by means of efficient planning of crew members' work has been developed. The suggested approach may be used equally with other methods to raise the reliability of human-operator performance. Grant numbers: NAS-15-10110.