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276. Sustainable Dynamic Routing Framework for Efficient E-Grocery Delivery
Invited abstract in session WA-45: Decision Support for Operations Management, stream Decision Support Systems.
Wednesday, 8:30-10:00Room: 30 (building: 324)
Authors (first author is the speaker)
| 1. | Valentas Gruzauskas
|
| 2Business Management Faculty, Vilnius Gediminas Technical University | |
| 2. | Aurelija Burinskiene
|
| Business Management Faculty, Vilnius Gediminas Technical University |
Abstract
In urban settings, e-grocery delivery significantly impacts energy use and air pollution. Traditional routing solutions, while addressing general transportation, fall short in the specific area of fresh food delivery, which demands a focus on sustainability. Our research introduces a dynamic route planning framework that integrates graph neural networks for traffic flow forecasting with traditional optimization techniques. This framework is designed to balance environmental impact, food quality, and operational costs, adapting to changing urban logistics factors such as food demand, fleet size, and traffic conditions. The framework also incorporates advanced information-sharing strategies, enhancing its adaptability and efficiency in real-time scenarios. We emphasize the importance of sustainable and resilient solutions in the context of urban e-grocery logistics. The proposed solution, scalable for large-scale agent-based modeling, aims to establish more resilient and sustainable urban delivery systems, with a future focus on a specific city case study to demonstrate its practical effectiveness. The novelty in our approach is the inclusion of real-time information-sharing strategies and a focus on sustainability and resilience in route scheduling, which sets it apart from traditional systems. This fusion of advanced predictive analytics with practical optimization offers a new pathway to tackle the environmental and logistical challenges of urban e-grocery delivery.
Keywords
- E-Commerce
- Vehicle Routing
- Simulation
Status: accepted
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