Generative Probabilistic Planning for Optimizing Supply Chain Networks

arXiv:2404.07511v1 Announce Type: cross
Abstract: Supply chain networks in enterprises are typically composed of complex topological graphs involving various types of nodes and edges, accommodating numerous products with considerable demand and supply variability. However, as supply chain networks expand in size and complexity, traditional supply chain planning methods (e.g., those found in heuristic rule-based and operations research-based systems) tend to become locally optimal or lack computational scalability, resulting in substantial imbalances between supply and demand across nodes in the network. …

abstract arxiv complexity cs.ai cs.lg demand enterprises expand found generative graphs however networks nodes planning products supply chain type types