Study of Fair Strategy for Merchant Self-Operated Takeaway Delivery Based on Delivery Plan Optimization

With the increasing demand for takeaway delivery, more merchants are developing their takeaway delivery system to manage order fulfillment and enhance the consumer online experience. This study presents a mathematical model for merchant-operated takeaway delivery, using an improved ant colony algorithm integrated with K-means to cluster customer locations and determine optimal routes. We propose two fairness strategies—order quantity and travel distance—to ensure equitable workload distribution among riders. The K-means algorithm is enhanced by reallocating cluster assignments based on the nodes’ distances to all cluster centers. The simulation results demonstrate that the designed algorithm and strategies generate efficient optimal delivery plans for merchants.

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Publication Details

Journal
Applied Sciences
Published
2025-06-13
DOI
https://doi.org/10.3390/app15126650
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Study of Fair Strategy for Merchant Self-Operated Takeaway Delivery Based on Delivery Plan Optimization

Yanling Guo, Shufa Sun, Chengbo Guo, Jing Chen et al.
Applied Sciences
Advanced Manufacturing and Logistics Optimization
article

Study of Fair Strategy for Merchant Self-Operated Takeaway Delivery Based on Delivery Plan Optimization

Yanling Guo, Shufa Sun, Chengbo Guo, Jing Chen, Jiali Du, Jiahua Kou
article en

Abstract

With the increasing demand for takeaway delivery, more merchants are developing their takeaway delivery system to manage order fulfillment and enhance the consumer online experience. This study presents a mathematical model for merchant-operated takeaway delivery, using an improved ant colony algorithm integrated with K-means to cluster customer locations and determine optimal routes. We propose two fairness strategies—order quantity and travel distance—to ensure equitable workload distribution among riders. The K-means algorithm is enhanced by reallocating cluster assignments based on the nodes’ distances to all cluster centers. The simulation results demonstrate that the designed algorithm and strategies generate efficient optimal delivery plans for merchants.

Applied SciencesVol. 15(12)
Northeast Forestry University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 81%
Advanced Manufacturing and Logistics Optimization
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Study of Fair Strategy for Merchant Self-Operated Takeaway Delivery Based on Delivery Plan Optimization — Yanling Guo, Shufa Sun, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS