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Open AccessArticle

Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint

by Songyi Wang 1, Fengming Tao 1,2,* and Yuhe Shi 3
1
College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
2
School of Economics and Business Administration, Chongqing University, Chongqing 400044, China
3
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2018, 15(1), 86; https://doi.org/10.3390/ijerph15010086
Received: 6 December 2017 / Revised: 1 January 2018 / Accepted: 2 January 2018 / Published: 6 January 2018
(This article belongs to the Special Issue Decision Models in Green Growth and Sustainable Development)
In order to solve the optimization problem of logistics distribution system for fresh food, this paper provides a low-carbon and environmental protection point of view, based on the characteristics of perishable products, and combines with the overall optimization idea of cold chain logistics distribution network, where the green and low-carbon location–routing problem (LRP) model in cold chain logistics is developed with the minimum total costs as the objective function, which includes carbon emission costs. A hybrid genetic algorithm with heuristic rules is designed to solve the model, and an example is used to verify the effectiveness of the algorithm. Furthermore, the simulation results obtained by a practical numerical example show the applicability of the model while provide green and environmentally friendly location-distribution schemes for the cold chain logistics enterprise. Finally, carbon tax policies are introduced to analyze the impact of carbon tax on the total costs and carbon emissions, which proves that carbon tax policy can effectively reduce carbon dioxide emissions in cold chain logistics network. View Full-Text
Keywords: cold chain logistics; location-routing problem; hybrid genetic algorithm; carbon emission cold chain logistics; location-routing problem; hybrid genetic algorithm; carbon emission
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Wang, S.; Tao, F.; Shi, Y. Optimization of Location–Routing Problem for Cold Chain Logistics Considering Carbon Footprint. Int. J. Environ. Res. Public Health 2018, 15, 86.

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