An agent-based framework for resilience analysis of service networks

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2024-10-02 DOI:10.1016/j.ress.2024.110523

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引用次数: 0

Abstract

Service networks made up of nodes and links inevitably suffer from performance degradation due to the negative effect of natural disasters and intentional attacks. Resilience is defined as the capability of recovering from disruptive events. Resilience analysis is of vital importance to evaluate network performance during the whole operation process. Given the dynamic characteristic of service networks, it is difficult to reflect the actual performance through static models. Moreover, resilience assessment should proceed with multiple metrics because network resilience is a multifaceted capability. To this end, an agent-based framework for resilience analysis is developed in this paper. Nodes are regarded as agents with independent decision-making to better respond to disruptions. The multi-agent negotiation mechanism is introduced to satisfy service requirements using deep Q-learning. In addition, network resilience is comprehensively assessed in terms of reliability, supportability and maintainability. A case study of Iridium system is conducted to illustrate the applicability of the agent-based framework. The results show that the developed framework can select the optimal route for task assignment and quantify resilience in the dynamic environment.

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基于代理的服务网络复原力分析框架

由于自然灾害和蓄意攻击的负面影响，由节点和链路组成的服务网络不可避免地会出现性能下降。弹性被定义为从破坏性事件中恢复的能力。弹性分析对于评估整个运营过程中的网络性能至关重要。鉴于服务网络的动态特性，静态模型很难反映实际性能。此外，由于网络复原力是一种多方面的能力，因此复原力评估应采用多种指标。为此，本文开发了一个基于代理的弹性分析框架。节点被视为具有独立决策能力的代理，以更好地应对干扰。本文引入了多代理协商机制，利用深度 Q 学习来满足服务要求。此外，还从可靠性、可支持性和可维护性等方面对网络弹性进行了全面评估。为了说明基于代理的框架的适用性，对铱星系统进行了案例研究。结果表明，所开发的框架可以为任务分配选择最优路径，并量化动态环境中的弹性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.