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1104. Optimizing the dynamic heterogeneous order-courier assignment problem for instant deliveries
Invited abstract in session TB-56: Crowdsourcing Logistics, stream Transportation.
Tuesday, 10:30-12:00Room: S04 (building: 101)
Authors (first author is the speaker)
1. | Diana Jorge
|
Instituto Superior Técnico, Universidade de Lisboa | |
2. | Tomás Rocha
|
IST | |
3. | Tania Ramos
|
IST-UL |
Abstract
Instant delivery services gained popularity for delivering meals to city dwellers, and the range of products available for delivery has significantly expanded. These platforms utilize crowdsourced couriers who operate their own vehicles, leading to a diverse courier fleet. In the face of great competition to attract and retain both customers and couriers, it is crucial for companies to develop advanced decision support tools. Such tools must be capable of generating real-time assignments that fulfill the expectations of service providers, customers, and couriers. To address the dynamic and complex nature of matching orders with couriers, considering the varied fleet and specific order-vehicle requirements, a time-driven simulation-optimization decision support tool was created. This tool is designed to manage incoming orders, couriers' availability, real-time courier location updates, and factors like dynamic traffic congestion and different regional speed limits for different vehicle types. The efficacy of the developed tool was validated through tests using instances from existing literature, where it demonstrated its capacity to effectively tackle the assignment problem. Furthermore, when applied to a real-world case study, the proposed tool achieved a reduction of roughly 4.5% in total delivery times—from the moment an order is placed to its arrival at the customer—compared to the original assignments.
Keywords
- Logistics
- Programming, Integer
- Simulation
Status: accepted
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