2577. An optimal integrated model with a solution algorithm for food delivery service and vehicle routing
Invited abstract in session WA-58: Food delivery, stream Vehicle Routing and Logistics.
Wednesday, 8:30-10:00Room: Liberty 1.13
Authors (first author is the speaker)
| 1. | Yi-Chun Chen
|
| Department of Business Administration & Graduate Institute of Logistics Management, National Dong Hwa University | |
| 2. | Ting-Yu Yang
|
| Graduate Institute of Logistics Management, National Dong Hwa University |
Abstract
With the rapid development of mobile data and the rise of third-party logistics models, food delivery platforms have become the mainstream method for ordering and delivering food. This service model, which integrates online ordering with offline delivery, provides great convenience to consumers, while also reducing the burden of food delivery on restaurants. Especially after the pandemic, consumers have gradually become accustomed to food delivery service, leading more restaurants to join these platforms.
To enhance the efficiency of food delivery, platform operators have developed diverse delivery modes. For example, a courier may deliver multiple orders from a single restaurant to different consumers or pick up meals from multiple restaurants and deliver them to multiple consumers. However, the delivery mode is determined by the platform, which assigns couriers who are willing to accept multiple orders at once. This unsystematic assignment model not only leads to an insufficient number of couriers but also causes unnecessary detours during peak hours, resulting in delayed meal deliveries.
In this study, the time-space network is employed to construct an optimal integrated model aimed at minimizing delivery costs. Additionally, a heuristic algorithm is developed to efficiently solve large-scale problems. A case study is conducted to perform the model and algorithm. The results are good, showing that both the model and the algorithm could be useful references in practice.
Keywords
- Logistics
- Optimization Modeling
- Vehicle Routing
Status: accepted
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