most citedEnhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption

3 citations · 3 across the 1 of their papers we have counts for

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cs.LG2023★ 3 cited

Enhancing Supply Chain Resilience: A Machine Learning Approach for Predicting Product Availability Dates Under Disruption

Mustafa Can Camur, Sandipp Krishnan Ravi, Shadi Saleh

The COVID 19 pandemic and ongoing political and regional conflicts have a highly detrimental impact on the global supply chain, causing significant delays in logistics operations a…