Abstract
The paper discusses mission abort and rescue strategies for multistate systems with different levels of performance. A system operates in a random environment modeled by the non-homogeneous Poisson process of shocks. With each shock, the state of a system stochastically deteriorates gradually moving to the state of a total failure. To prevent this event and to increase a system survival probability, a mission can be aborted and a rescue procedure can be activated. The number of experienced shocks is a decision parameter for the corresponding optimization problem that aims at maximizing the mission success probability subject to providing the desired level of survival probability. A detailed numerical example illustrates our findings.
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