Asynchronous Consensus Evolution Mechanism for Large Group Emergency Decision Making: Risk Mitigation Strategy Selection Under Uncertainty
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DOI码：10.1109/TSMC.2025.3580657
发表刊物：IEEE Transactions on Systems, Man, and Cybernetics: Systems（ABS 3星，中科院一区，FMS B类）
关键字：Asynchronous consensus evolution mechanism (ACEM), large group dynamic segment，large group emergency decision making，risk mitigation, supply chain disruption
摘要：Supply chain disruptions pose substantial risks to the system-on-chip supply chain (SoCSC) within the electric vehicle (EV) industry, potentially resulting in production delays and financial losses. This study proposes a novel asynchronous consensus evolution mechanism (ACEM) designed to enhance large group emergency decision-making (LGEDM) under uncertainty, with specific application to the EV SoCSC. Unlike traditional synchronous approaches, ACEM enables decision makers (DMs) to contribute asynchronously, reducing wait times and accelerating consensus formation. The mechanism integrates uncertain scenario analysis with an optimization framework that dynamically allocates decision steps with relative weights, ensuring adaptability to complex and dynamic environments. We further develop a time-aware adaptive clustering (TAAC) algorithm to segment DMs based on decision quality and response speed, enhancing both the speed and the accuracy of consensus building. Simulation results indicate that ACEM significantly reduces decision latency and improves consensus efficiency under uncertain disruption scenarios. This work provides a robust framework for agile decision-making, enabling manufacturers to enhance SoCSC resilience in uncertain disruptions.
合写作者：Mi Zhou（通讯作者）,Jian Wu,Witold Pedrycz,Xin-Bao Liu
第一作者：Ya-Jing Zhou
论文类型：期刊论文
学科门类：管理学
文献类型：J
是否译文：否
发表时间：2025-07-08
收录刊物：SCI