首页> 外文期刊>International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms >MODELING AND SIMULATION OF ANT COLONY'S LABOR DIVISION WITH CONSTRAINTS FOR TASK ALLOCATION OF RESILIENT SUPPLY CHAINS
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MODELING AND SIMULATION OF ANT COLONY'S LABOR DIVISION WITH CONSTRAINTS FOR TASK ALLOCATION OF RESILIENT SUPPLY CHAINS

机译:具有约束力的弹性供应链任务分配的蚁群劳动分区建模与仿真

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摘要

Emergency incidents increase the uncertainty of supply chain environment, and also make the supply chain vulnerability expose. Creating resilient supply chain is an effective way to overcome the supply chain vulnerability. The supply chain characteristics of self-adaptation and self-coordination are consistent with the self-organization feature of ant colony's labor division. In this paper, a generalized ant colony's labor division model with constraints is provided, which is used to construct the ant colony's labor division model with constraints of resilient supply chain to solve task allocation of resilient supply chains. The simulation principle and algorithm of resilient supply chain are provided based on the proposed model and task allocation of the supply chain is analyzed from the five aspects, that is, task allocation status, supply chain coordination, emergency incidents' impact to task allocation, task allocation rate and the influence of different incidents for task allocation. The simulation results show that, with the proposed model, it is effective to allocate resilient supply chain tasks and has excellent performance, such as faster response and robustness.
机译:突发事件增加了供应链环境的不确定性,也使供应链的脆弱性暴露无遗。建立有弹性的供应链是克服供应链漏洞的有效方法。自我适应和自我协调的供应链特征与蚁群劳动分工的自我组织特征相一致。本文提供了一种具有约束条件的广义蚁群分工模型,用于构造具有弹性供应链约束的蚁群分工模型,以解决弹性供应链的任务分配问题。根据提出的模型,提供了弹性供应链的仿真原理和算法,并从任务分配状态,供应链协调,突发事件对任务分配,任务的影响五个方面分析了供应链的任务分配。分配率以及不同事件对任务分配的影响。仿真结果表明,该模型能够有效地分配弹性供应链任务,并具有响应速度快,鲁棒性强等优异性能。

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