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Author

Fatih Kasimoğlu

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Open access Sep 2026

A Multi-Objective Decision-Support Framework for Sustainable and Resilient Mid- to Long-Range UAV Cargo Supply Chains Under Demand and Climatic Uncertainty

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 · 0 citations
Open access Sep 2026

A Problem Space Search Metaheuristic with Adaptive Regret Insertion for Sustainable Low-Carbon Vehicle Routing

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...

Fatih Kasimoğlu, Duygu Aghazadeh, Durdu Hakan Utku · 0 citations
Open access Aug 2026

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

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 · 0 citations

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