EURO 2024 Copenhagen
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2310. Optimizing Bundling Choices in Online Food Delivery

Invited abstract in session WB-58: Logistics 1, stream VeRoLog - Vehicle Routing and Logistics.

Wednesday, 10:30-12:00
Room: S07 (building: 101)

Authors (first author is the speaker)

1. Çağrı Doğuş İyican
Data Science, Trendyol
2. Ahmet Çınar
Data Science, Trendyol
3. Yahya Ertuğrul Geçkil
Optimization / Data Science, Trendyol
4. Muhammed Enes Oral
Technology, Trendyol
5. Batuhan Bayrakçı
Technology, Trendyol
6. Umut Toparlak
Technology, Trendyol

Abstract

The digital revolution has brought about profound changes in the food service industry, particularly with the emergence of online food delivery. Our study aims to delve into the intricacies of order bundling to not only enhance courier satisfaction but also to maximize operational efficiency. Leveraging a combination of a Clarke and Wright heuristic and MIP model with a careful consideration of factors such as route length and operational constraints, we developed robust strategies geared towards improving bundled order ratios. A significant hurdle we encountered was the challenge posed by courier complaints regarding route structure between buyer locations. To effectively address this issue, we introduced a variety of angle constraint structures into our model. The outcome was striking – a substantial 7% increase in bundled orders was achieved without any compromise on route lengths, underscoring the pivotal role of prioritizing courier satisfaction in operational decision-making processes. In summary, our research provides invaluable insights into the optimization of online food delivery operations. By placing a premium on courier satisfaction and proactively tackling operational challenges, we present actionable recommendations for enhancing overall efficiency and service quality within the industry.

Keywords

Status: accepted

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