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2678. Optimizing Urban Parcel Logistics: An ALNS-based approach to combine tradition and technology
Invited abstract in session TC-55: Freight transportation and logistic II, stream Transportation.
Tuesday, 12:30-14:00Room: S02 (building: 101)
Authors (first author is the speaker)
1. | Barbara Himstedt
|
Christian-Albrechts-University, Kiel | |
2. | Frank Meisel
|
Christian-Albrechts-University |
Abstract
In the past, urban parcel delivery was dominated by diesel-powered vans. However, with society’s growing awareness of sustainability, parcel delivery services are now encouraged to adopt innovative and environmentally friendly systems. As a result, cargo bikes, robots, and drones are investigated as potential alternatives. But relying on a single delivery system may not always be practical, as not all customer locations are suitable for these new technologies. However, it could prove beneficial to combine them with the traditional method to ensure an efficient and cost-effective delivery process. To address these issues, a mathematical optimization model for managing urban parcel logistics with two echelons is proposed, which can be used both independently and in combination with alternative means of transportation. An Adaptive Large Neighborhood Search is presented to analyze realistic urban delivery areas, and insights into its performance and the practicality of integrating combined fleets are provided. A case study from Hamburg, Germany, shows that labor costs are a key factor influencing the effectiveness of delivery vehicles. In addition, the strategic value of integrating robots and drones into delivery systems becomes clear, even if only a proportion of customers opt for these new means of transportation. These findings provide valuable recommendations for stakeholders considering the introduction of innovative parcel delivery systems tailored to urban environments.
Keywords
- Logistics
- Vehicle Routing
- Metaheuristics
Status: accepted
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