What question did this study set out to answer?

To develop a method that optimizes routes for pharmaceutical distribution while minimizing carbon emissions and maintaining timely deliveries.

June 20, 2026SustainabilityOpen Access

Sustainable Dynamic Route Optimization for Pharmaceutical Cold-Chain Distribution by Integrating Reinforcement Learning and Improved Neighborhood Search

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Authors

YYYang YangTaiyuan University of Science and Technology FYFeifan YanTaiyuan University of Science and Technology YWYue WangUniversity of Stuttgart

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Implication

This randomized trial evaluates dynamic route optimization for reducing carbon emissions and improving delivery times in pharmaceutical cold-chain distribution, indicating potential for...

Key Points

To develop a method that optimizes routes for pharmaceutical distribution while minimizing carbon emissions and maintaining timely deliveries.
Integrated reinforcement learning with an improved neighborhood search algorithm.
Evaluated on the Solomon Benchmark dataset for last-mile distribution of chronic-disease medicines.
Measured average computation time and transportation carbon emissions.
Achieved a reduction in carbon emissions by approximately 18%.
Decreased delivery time by about 12% compared to traditional routing.
Average computation time was 45.3 ms with a standard deviation of 2.7.

Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6a3632d2db0793dc1a539484 https://doi.org/10.3390/su18126282

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Implication

This randomized trial evaluates dynamic route optimization for reducing carbon emissions and improving delivery times in pharmaceutical cold-chain distribution, indicating potential for...

Sustainable Dynamic Route Optimization for Pharmaceutical Cold-Chain Distribution by Integrating Reinforcement Learning and Improved Neighborhood Search

Discussion

Member takes

Implication

Key Points

Cite This Study

Sustainable Dynamic Route Optimization for Pharmaceutical Cold-Chain Distribution by Integrating Reinforcement Learning and Improved Neighborhood Search

Discussion

Member takes

Implication

Key Points

Cite This Study

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