Journal of Engineering, Project, and Production Management, 2026, 16(7), 2025-282
Multi-Objective Path Planning Strategy for Fresh E-Commerce Warehouse Based on Improved NSGA-II
Head, Academic Affairs Office, Management School, Anhui Business and Technology College, Hefei, 231131, China, E-mail: qiyue20240902@163.com
Project Management
Received November 21, 2025; revised January 14, 2026; accepted June 26, 2026
Available online July 2, 2026
Abstract: Traditional single-objective route planning struggles to meet modern demands in fresh food e-commerce due to advancements in AI and rising economic expectations. To address this, this study proposes a multi-objective path planning model that balances delivery time and product freshness, aiming to reduce costs and improve punctuality. A solution model integrating chaotic sequences and an enhanced Fast Non-Dominated Sorting Genetic Algorithm II (NSGA-II) is developed to minimize operational expenses and enhance customer satisfaction. Results showed the improved algorithm achieved fitness values of 0.16 (training set) and 0.14 (test set), confirming its effectiveness for multi-objective path planning. In cost optimization, it converged to a lower level within 150 iterations, outperforming the standard NSGA-II. For customer satisfaction, it stabilized at 0.71 after ~200 iterations. The multi-objective model yielded a total cost of 11,592.25 and an average satisfaction of 0.84, improving cost efficiency by 0.60% and satisfaction by 6.33% over single-objective models (cost-only or satisfaction-only). In a practical application, adopting Scheme D met cost targets while exceeding industry satisfaction benchmarks. Compared to traditional methods, maximum delivery distance decreased by 22%, and overtime orders dropped by 10%. These findings demonstrate that the proposed approach effectively optimizes fresh food e-commerce logistics, supporting business growth while reducing operational costs.
Keywords: NSGA-II; fresh food e-commerce; multi-objective; path planning; average customer satisfaction; chaotic sequences.
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Citation: Qi, Y. (2026). Multi-Objective Path Planning Strategy for Fresh E-Commerce Warehouse Based on Improved NSGA-II. Journal of Engineering, Project, and Production Management, 16(7), 2025-282.
