Strategic Reattempt and Abort Decisions for Mission-Critical Systems  
Author

Rongchi Sun

 

Co-Author(s)

Qingan Qiu;  Yike Zhang; Rui Ye; Xiong Zhang; Zhongping Li

 

Abstract Proactive emergency rescue and reattempt strategies are crucial for safety management in complex systems during mission execution. This study considers systems that conduct missions with random durations governed by general distributions. Condition monitoring is used to gather real-time system state information and track mission progress. Based on the collected data on system condition and mission progress, decisionmakers can choose to: (a) do nothing and proceed with the current mission, (b) abort the mission and immediately initiate emergency rescue with no further attempt, or (c) launch an emergency rescue followed by a reattempt to complete the mission. The primary goal is to minimize the total expected costs through sequential, real-time decision-making on rescue and reattempts. The problem is modeled as a Markov decision process, focusing on optimizing rescue and reattempt policies. This work advances mission abort research by introducing dynamic termination thresholds that adapt to real-time system states, providing a principled framework to balance mission reliability and operational safety.

 

Keywords Mission Abort, System Survivability, Mission Reliability, Markov Decision Process
   
    Article #:  RQD2026-177
 

Proceedings of 31st ISSAT International Conference on Reliability & Quality in Design
August 5-7, 2026