The increasing integration of unmanned aerial vehicles (UAVs) into logistics systems introduces new strategic network design challenges, particularly for mid- to long-range cargo operations, where infrastructure availability, uncertain demand, and climatic conditions jointly affect operational performance, resilience,...
M. Bakir, Fatih Kasimoğlu, Ahmet Aktas· Sustainability· 0 citations
This study investigates a sustainable vehicle-routing problem in which a heterogeneous fleet serves geographically dispersed customer demands from a central distribution facility. The problem simultaneously minimizes transportation costs and CO2 emissions, with deliveries performed by either in-house or externally rent...
The Heterogeneous Graph Transformer (HGT)‐Scheduler is proposed, a reinforcement learning framework that explicitly models the JSSP as a heterogeneous graph, demonstrating that explicitly modeling edge semantics improves reinforcement learning for intelligent job shop scheduling.
Bulent Soykan, Fatih Kasimoğlu· Advanced Intelligent Systems· 0 citations
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