Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions

Ling Shen, Fengming Tao, Yuhe Shi and Ruiru Qin
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Ling Shen: 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
Ruiru Qin: School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China

IJERPH, 2019, vol. 16, issue 16, 1-18

Abstract: In order to solve the optimization problem of emergency logistics system, this paper provides an environmental protection point of view and combines with the overall optimization idea of emergency logistics system, where a fuzzy low-carbon open location-routing problem (FLCOLRP) model in emergency logistics is constructed with the multi-objective function, which includes the minimum delivery time, total costs and carbon emissions. Taking into account the uncertainty of the needs of the disaster area, this article illustrates a triangular fuzzy function to gain fuzzy requirements. This model is tackled by a hybrid two-stage algorithm: Particle swarm optimization is adopted to obtain the initial optimal solution, which is further optimized by tabu search, due to its global optimization capability. The effectiveness of the proposed algorithm is verified by the classic database in LRP. What’s more, an example of a post-earthquake rescue is used in the model for acquiring reliable conclusions, and the application of the model is tested by setting different target weight values. According to these results, some constructive proposals are propounded for the government to manage emergency logistics and for the public to aware and measure environmental emergency after disasters.

Keywords: emergency logistics; location routing problem; environment effect; two-phase algorithm (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

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