首页|Economic design of a self-healing policy with limited agents

Economic design of a self-healing policy with limited agents

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  • NETL
  • NSTL
  • Elsevier
Self-healing has been increasingly integrated into systems to enhance their reliability. Many popular intrinsic self-healing policies are not cost-effective because their self-healing actions are not always performed at the right time. This paper investigates the economic design of a self-healing policy with limited agents for an intelligent system that executes a mission of finite length. Several healing agents are embedded into the system before the mission. The system performs self-detection at equidistant epochs to reveal deterioration levels. The deterioration can be randomly healed by releasing healing agents, and the healing effect depends on the number of agents released. At each inspection epoch, a decision is made on how many healing agents to be released. The objective is to jointly determine the capacity of agents and the self-healing policy to minimize the expected total cost over the mission length. The optimization problem is formulated in the stochastic dynamic programming framework. A backward induction algorithm is developed to find the optimal solution. A numerical example is provided to illustrate the effectiveness of the proposed approach. The comparison with a control-limit policy confirms the outstanding performance of the proposed policy.

Self-healingCondition-based maintenanceStochastic dynamic programmingBackward induction algorithm

Rui Zheng、Yuan Xing、Zhanglin Peng、Xiangyun Ren、Kanlun Tan

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School of Management, Hefei University of Technology, Hefei, 230009, China||Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei University of Technology, Hefei, 230009, China

Key Lab for Mechanism Theory and Equipment Design, Ministry of Education, School of Mechanical Engineering, Tianjin University, Tianjin, 300350, China

State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing, 400000, China

2025

10.1016/j.cie.2024.110740

Computers & industrial engineering: An international journal

Computers & industrial engineering: An international journal

ISSN：0360-8352
年,卷(期)：2025.199(Jan.)
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