Interference Management of Fresh Produce Logistics and Distribution Routes Considering Remaining Shelf-life

FAN Shuangjiao, ZHANG Jiaao, ZHANG Yuqing

Packaging Engineering ›› 2026, Vol. 47 ›› Issue (1) : 64-71.

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Packaging Engineering ›› 2026, Vol. 47 ›› Issue (1) : 64-71. DOI: 10.19554/j.cnki.1001-3563.2026.01.008
Agro-products Preservation and Food Packaging

Interference Management of Fresh Produce Logistics and Distribution Routes Considering Remaining Shelf-life

  • FAN Shuangjiao, ZHANG Jiaao, ZHANG Yuqing
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Abstract

The work aims to address the issues of reduced remaining shelf-life of fresh aquatic products and increased distribution costs under traffic congestion interference. A cold chain logistics distribution route interference management model (VRP-TC) that considered the remaining shelf-life was proposed. A three-level interference model of "traffic disruption-primary congestion-secondary congestion" was constructed, where congestion areas were dynamically divided based on the composite circle radius and different speed penalty coefficients were set. Taking the remaining shelf-life as a key consideration, an exponential shelf-life loss cost function was established, with the goal of minimizing the total cost (including fixed costs, transportation costs, refrigeration costs, and shelf-life loss costs). To solve the model efficiently, an improved genetic algorithm combined with a simulated annealing mechanism was designed, which adopted a twin mutation operator and a PMX (Partially Mapped Crossover) strategy to improve convergence speed and avoid local optimality. Verification based on Solomon test instances shows that: by proactively avoiding congestion areas, the VRP-TC model reduces the shelf-life loss cost by 28.4%-31.3% and the total cost by 6.7%-7.0%, which can significantly improve the distribution timeliness and the ability to ensure product freshness.

Key words

highway transportation / route optimization / genetic algorithm / total cost of distribution

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FAN Shuangjiao, ZHANG Jiaao, ZHANG Yuqing. Interference Management of Fresh Produce Logistics and Distribution Routes Considering Remaining Shelf-life[J]. Packaging Engineering. 2026, 47(1): 64-71 https://doi.org/10.19554/j.cnki.1001-3563.2026.01.008

References

[1] 崔方超, 毛智超, 李婷婷, 等. 基于神经网络的生鲜水产品货架期预测模型的构建及应用[J]. 中国食品学报, 2023, 23(11): 254-265.
CUI F C, MAO Z C, LI T T, et al.Construction and Application of Fresh Aquatic Product Shelf Life Prediction Model Based on Neural Network[J]. Journal of Chinese Institute of Food Science and Technology, 2023, 23(11): 254-265.
[2] 伍大清, 刘艳利. 考虑运输时间和消费者偏好的水产品供应链协调研究[J]. 运筹与管理, 2022, 31(9): 107-112.
WU D Q, LIU Y L.Research on Aquatic Product Supply Chain Coordination Considering Transport Time and Consumer Preference[J]. Operations Research and Management Science, 2022, 31(9): 107-112.
[3] 曹菁菁, 魏杰, 雷阿会, 等. 考虑交通拥堵的冷链配送路径动态优化[J]. 计算机应用研究, 2025, 42(8): 2364-2373.
CAO J J, WEI J, LEI A H, et al.Dynamic Optimization of Cold Chain Distribution Path and Construction Considering Traffic Congestion[J]. Application Research of Computers, 2025, 42(8): 2364-2373.
[4] HOU J Q, LIU Y Q, ZHANG Y, et al.Optimization of Urban Cold Chain LogisticsPath Considering Carbon Constraints[J]. Polish Journal of Environmental Studies, 2025, 34(1): 705-717.
[5] WANG Z Y, CHEN F J, MO C C.Optimisation Methods for Cold Chain Logistics Path Considering Carbon Emission Costs in Time-Varying Networks[J]. Promet - Traffic&Transportation, 2024, 36(6): 1103-1119.
[6] QI C W.Multi-Objective Optimization-Based Algorithm for Selecting the Optimal Path of Rural Multi-Temperature Zone Cold Chain Dynamic Logistics Intermodal Transportation[J]. International Journal of Computational Intelligence Systems, 2024, 17(1): 224.
[7] ZHANG A B, ZHANG Y, LIU Y Q.Low-Carbon Cold-Chain Logistics Path Optimization Problem Considering the Influence of Road Impedance[J]. IEEE Access, 2023, 11: 124055-124067.
[8] LU Z J, WU K, BAI E, et al.Optimization of Multi-Vehicle Cold Chain Logistics Distribution Paths Considering Traffic Congestion[J]. Symmetry, 2025, 17(1): 89.
[9] CHEN L F, SHEN Z F.Logistics Path Decision Optimization Method of Fresh Product Export Cold Chain Considering Transportation Risk[J]. Computational Intelligence and Neuroscience, 2022, 2022(1): 8924938.
[10] ZHANG A B, ZHANG Y, LIU Y Q, et al.Optimization of Multi-TemperatureCo-Transmission Paths UnderTime-Varying Road Networks[J]. Polish Journal of Environmental Studies, 2024, 33(4): 3963-3974.
[11] CHEN H, WANG W X, JIA L, et al.Research on Time-Varying Path Optimization for Multi-Vehicle Type Fresh Food Logistics Distribution Considering Energy Consumption[J]. Scientific Reports, 2024, 14: 27068.
[12] 刘琳, 贾鹏, 高犇, 等. 新鲜度限制约束下物流配送中心选址-路径优化[J]. 包装工程, 2022, 43(5): 232-241.
LIU L, JIA P, GAO B, et al.Location Routing Optimization of Logistics Distribution Center under Freshness Limitation[J]. Packaging Engineering, 2022, 43(5): 232-241.
[13] 辜勇, 刘咏欣, 王海燕, 等. 考虑天气因素的即时配送订单合并与路径规划[J]. 包装工程, 2025, 46(11): 205-215.
GU Y, LIU Y X, WANG H Y, et al.Weather-Considered Order Consolidation and Routing for Instant Delivery[J]. Packaging Engineering, 2025, 46(11): 205-215.
[14] 余海燕, 唐婉倩, 吴腾宇. 带硬时间窗的O2O生鲜外卖即时配送路径优化[J]. 系统管理学报, 2021, 30(3): 584-591.
YU H Y, TANG W Q, WU T Y.Vehicle Routing Problem with Hard Time Windows for Instant Delivery of O2O Fresh Takeout Orders[J]. Journal of Systems & Management, 2021, 30(3): 584-591.
[15] YANG X C, JIANG H Y.Research on Urban Cold Chain Logistics Path Optimization Considering Multi-Center and Time-Varying Road Networks[J]. IEEE Access, 2024, 12: 71331-71348.
[16] LIU S C, ZHANG C.Optimization of Urban Cold Chain Transport Routes under Time-Varying Network Conditions[J]. Journal of Advanced Transportation, 2021, 2021(1): 8817991.
[17] 张佳傲, 樊双蛟, 王雅君, 等. 基于水产品剩余货架期的冷链配送路径优化研究[J]. 包装工程, 2025, 46(5): 76-82.
ZHANG J A, FAN S J, WANG Y J, et al.Optimization of Cold Chain Distribution Path Based on Remaining Shelf Life of Aquatic Products[J]. Packaging Engineering, 2025, 46(5): 76-82.
[18] CHEN Y H.Intelligent Algorithms for Cold Chain Logistics Distribution Optimization Based on Big Data Cloud Computing Analysis[J]. Journal of Cloud Computing, 2020, 9(1): 37.
[19] 计莹峰. 考虑货损成本的冷链物流网络优化问题研究[D]. 大连: 大连海事大学, 2017.
JI Y F.Study on Optimization of Cold Chain Logistics Network Considering Damage Cost[D]. Dalian: Dalian Maritime University, 2017.
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