Task strategy optimization for multi-state system based on virtual ship

Abstract

The task success ratio of the complex system in the coworking situation is studied. In the existing task strategy, the equipment fault during the subsequent task is underestimated, resulting in unreasonable task progress and prone to task failure. A new strategy that takes into account subsequent faults is proposed for this problem. A concept of the virtual ship is introduced by digital simulation with the background of a navy vessel's sailing task. The new strategy is used for real-time fault prediction of complex task systems and dynamic optimization of the remaining task processes. A group of deviation coefficients is defined. With the coefficients, the new strategy is compared to the existing one. The results show that the new strategy improves the task success ratio at the cost of speed stability. After changing the task parameters, it is found that this new strategy can reduce not arriving ratio and thus improve the task success ratio when the task redundancy time coefficient is low; And when the redundancy time coefficient is extremely high or low, the difference between the two strategies is small. In sensitivity analysis, the influence of changing equipment reliability parameters on task success ratio in different strategies is investigated.