ORIGINAL RESEARCH article
Front. Future Transp.
Sec. Freight Transport and Logistics
Volume 6 - 2025 | doi: 10.3389/ffutr.2025.1671246
This article is part of the Research TopicDigital Transformation and Organisational Readiness in Freight Transportation: Enhancing Resilience and Sustainability in Global LogisticsView all articles
Simulation Study on Optimization of Delivery Path for Community Group Buying
Provisionally accepted
- 1Jiangxi Modern Polytechnic College, Nanchang, China
- 2Coventry University, Coventry, United Kingdom
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This paper addresses the optimization of community group-buying distribution paths by considering both cost efficiency and time constraints. Focusing on dense neighbourhoods where such services thrive, the study highlights how current distribution strategies often prioritize proximity over effectiveness. To minimize total costs—including vehicle fixed costs, fuel expenses, and time-constrained penalties—a mathematical model is developed and solved using an improved genetic algorithm. The model incorporates real-world constraints from community group-buying platforms. Simulation in AnyLogic, using actual order data from the Flowers and Fruits platform, demonstrates that the proposed approach reduces distribution costs by 31.62%, achieving the lowest-cost distribution path while meeting time window requirements. The results validate the model's effectiveness in balancing economic and operational efficiency.
Keywords: community group buying, Distribution Routes, Genetic Algorithm, Anylogic simulation, Cost optimization
Received: 22 Jul 2025; Accepted: 25 Sep 2025.
Copyright: © 2025 Yu, Luo and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Xuejun Cheng, jackcheng030910@outlook.com
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