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

Songyi Wang, Fengming Tao and Yuhe Shi
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Songyi Wang: College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
Fengming Tao: College of Mechanical Engineering, Chongqing University, Chongqing 400044, China
Yuhe Shi: School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China

IJERPH, 2018, vol. 15, issue 1, 1-17

Abstract: 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.

Keywords: cold chain logistics; location-routing problem; hybrid genetic algorithm; carbon emission (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

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