Graph Neural Networks and Multi-Echelon Optimisation: A Computational Framework for Resilient Supply Chain Network Configuration
Keywords:
graph neural networks, multi-echelon optimisation, computational framework, resilient supply chain network configuration, machine learningAbstract
The COVID-19 related disruptions of early 2020 uncovered the vulnerability of contemporary supply chains. It became clear that organizations often do not maintain sufficient flexibility and contingency to deal with potential disruptions effectively.Downloads
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