openalexJournal of Intelligent Decision Making and Information Science2026-07-23Cited by 0

A Digital Twin Framework for Fuzzy Multi-Objective Routing of Electric Delivery Fleets in Urban Hypermarket Logistics

Zornitsa Yordanova Hamed Nozari

This research presents an integrated framework for electric delivery fleet routing in urban logistics, in which the dynamics of the real environment are modeled through digital twin and operational uncertainties with a fuzzy approach. The proposed model is designed as a multi-objective model and simultaneously optimizes energy consumption, delivery time, operational cost, and environmental impact. The results show that the use of digital twin leads to a significant reduction in delivery time, cost, and delay compared to static routing, and significantly improves the quality of service. Scenario analyses also showed that in high-density conditions, performance indicators increase nonlinearly, while the proposed framework was able to control these effects. Also, the difference of less than 3.18% with the reference solutions confirms the high accuracy of the model. These findings indicate that the proposed approach can be used as an effective tool to improve the efficiency and sustainability of urban logistics systems.

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