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配送最適化arXiv:2311.03869

複数拠点からのフラッシュ配送問題における車両数決定:アムステルダムでのケーススタディ

Fleet Sizing for the Flash Delivery Problem from Multiple Depots a Case Study in Amsterdam

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数分単位での配送が求められるフラッシュ配送において、個々の配送要求をグループ化し、車両やロボットの運用計画を最適化することで、必要な車両台数を決定する手法を提案した。

著者: Maximilian Kronmueller, Andres Fielbaum, Javier Alonso-Mora

分類: cs.MA, cs.RO, math.OC

原文アブストラクト

In this paper, we present a novel approach for fleet sizing in the context of flash delivery, a time-sensitive delivery service that requires the fulfilment of customer requests in minutes. Our approach effectively combines individual delivery requests into groups and generates optimized operational plans that can be executed by a single vehicle or autonomous robot. The groups are formed using a modified routing approach for the flash delivery problem. Combining the groups into operational plans is done by solving an integer linear problem. To evaluate the effectiveness of our approach, we compare it against three alternative methods: fixed vehicle routing, non-pooled deliveries and a strategy encouraging the pooling of requests. The results demonstrate the value of our proposed approach, showcasing its ability to optimize the fleet and improve operational efficiency. Our experimental analysis is based on a real-world dataset provided by a Dutch retailer, allowing us to gain valuable insights into the design of flash delivery operations and to analyze the effect of the maximum allowed delay, the number of stores to pick up goods from and the employed cost functions.

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