Iterative CP with tailored heuristics solves preemptive jobshop scheduling under maximum workload constraints more effectively than IBM CP Optimizer on benchmark instances.
Filter-and-fan approaches for scheduling flexible job shops under workforce constraints
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Proposes a two-stage stochastic MIP incorporating induced export bans from shortages, develops three tailored cutting-plane methods, and evaluates them on an oncology drug case study.
An ontology-augmented LLM system for LPBF defect diagnosis and mitigation guidance reaches 0.808 macro F1 and substantial Cohen's kappa agreement on a literature-derived test set.
EAGLE combines Transformer patch encoding with Edge-Aware GAT in a multi-task setup to reach F1-score 0.8762 and AUC-ROC 0.9773 on the DataCo supply chain dataset with high training stability.
citing papers explorer
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An iterative Constraint Programming approach to integrate maximum workload constraints in preemptive jobshop scheduling
Iterative CP with tailored heuristics solves preemptive jobshop scheduling under maximum workload constraints more effectively than IBM CP Optimizer on benchmark instances.
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When Shortages Lead to Export Restrictions: A Computational Study
Proposes a two-stage stochastic MIP incorporating induced export bans from shortages, develops three tailored cutting-plane methods, and evaluates them on an oncology drug case study.
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A Knowledge-Driven LLM-Based Decision-Support System for Explainable Defect Analysis and Mitigation Guidance in Laser Powder Bed Fusion
An ontology-augmented LLM system for LPBF defect diagnosis and mitigation guidance reaches 0.808 macro F1 and substantial Cohen's kappa agreement on a literature-derived test set.
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EAGLE: Edge-Aware Graph Learning for Proactive Delivery Delay Prediction in Smart Logistics Networks
EAGLE combines Transformer patch encoding with Edge-Aware GAT in a multi-task setup to reach F1-score 0.8762 and AUC-ROC 0.9773 on the DataCo supply chain dataset with high training stability.