Research on Joint Scheduling of Fruit and Vegetable Grading Vehicles and Pre-Cooling Vehicles Targeting the First Kilometer Cold Chain Logistics

To address the challenges of “the first kilometer” in cold chain logistics for fresh fruits and vegetables-including insufficient consideration of farmers' needs and delays in pre-processing-a joint scheduling model for post-harvest mobile grading and pre-cooling facilities is proposed. First, a joint optimization model for the multi-demand vehicle routing problem is established, considering time window constraints and service order for both services. Second, a joint optimization genetic algorithm is developed to address this issue. Experimental results indicate that this research method optimizes resource allocation, prevents cold chain disruptions, reduces losses, and enhances logistics efficiency.

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Publication Details

Published
2024-11-08
DOI
https://doi.org/10.1109/isceic63613.2024.10810196
Primary Topic
Advanced Manufacturing and Logistics Optimization
Type
article
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article

Research on Joint Scheduling of Fruit and Vegetable Grading Vehicles and Pre-Cooling Vehicles Targeting the First Kilometer Cold Chain Logistics

Xiaojun Wang, Xueli Li, Chunxia Yang, Xiqing Zhang
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Advanced Manufacturing and Logistics Optimization
article

Research on Joint Scheduling of Fruit and Vegetable Grading Vehicles and Pre-Cooling Vehicles Targeting the First Kilometer Cold Chain Logistics

Xiaojun Wang, Xueli Li, Chunxia Yang, Xiqing Zhang
article en

Abstract

To address the challenges of “the first kilometer” in cold chain logistics for fresh fruits and vegetables-including insufficient consideration of farmers' needs and delays in pre-processing-a joint scheduling model for post-harvest mobile grading and pre-cooling facilities is proposed. First, a joint optimization model for the multi-demand vehicle routing problem is established, considering time window constraints and service order for both services. Second, a joint optimization genetic algorithm is developed to address this issue. Experimental results indicate that this research method optimizes resource allocation, prevents cold chain disruptions, reduces losses, and enhances logistics efficiency.

Taiyuan University of Science and Technology (CN)
Openalex Percentile: Top 64%
Advanced Manufacturing and Logistics Optimization
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Research on Joint Scheduling of Fruit and Vegetable Grading Vehicles and Pre-Cooling Vehicles Targeting the First Kilometer Cold Chain Logistics — Xiaojun Wang, Xueli Li, et al. · (2024) | TGRS Research Map | TGRS