Abstract
The low-carbon economy, as a major trend of global economic development, has been a widespread concern, which is a rare opportunity to realize the transformation of the economic way in China. The realization of a low-carbon economy requires improved resource utilization efficiency and reduced carbon emissions. The reasonable location of logistics nodes is of great significance in the optimization of a logistics network. This study formulates a double objective function optimization model of reverse logistics facility location considering the balance between the functional objectives of the carbon emissions and the benefits. A hybrid multi-objective optimization algorithm that combines a gravitation algorithm and a particle swarm optimization algorithm is proposed to solve this reverse logistics facility location model. The mobile phone recycling logistics network in Jilin Province is applied as the case study to verify the feasibility of the proposed reverse logistics facility location model and solution method. Analysis and discussion are conducted to monitor the robustness of the results. The results prove that this approach provides an effective tool to solve the multi-objective optimization problem of reverse logistics location.
Highlights
China is the world’s most populous country, with a population of more than 1.41 billion as of 2021
Given the reverse logistics network model of used mobile phones established in the above two chapters and aiming at the two objective functions of carbon emission minimization and revenue maximization,Results the improved universal gravitation algorithm was used as Optimization the optimization tool
A double objective function optimization model of reverse logistics facility location was constructed in which the capacity of recycling center, classification center, processing center and the transportation volume between different recycling facilities were taken as constraints, and the two objective functions of low-carbon and maximum revenue were used to optimize the location scheme of logistics facilities
Summary
China is the world’s most populous country, with a population of more than 1.41 billion as of 2021. A mobile phone recycling enterprise plans to set up a mobile phone recycling logistics. A enterprise plans to up a mobile phone recycling logi by mobile cities, as phone shown inrecycling. 4. Through the analysis chapter, th plans to set up testing and classification centers and recycling and processing centers from enterprise takes the mobile phone sellers in each city as the recycling station, making eac the nine recycling zones. In order to meet the demand for recycling, the number of testing city own a recyclingcenters station, where the recycling scope most areas of and classification needs to be controlled between threecan and cover five, and the number of the cit. The enterprise to setcenters up testing classification centers and recycling andplans processing needs toand be controlled between two and four.recycling and pro cessing centers from the nine recycling zones. In order to meet the demand for recyclin the number of testing and classification centers needs to be controlled between three an five, and the number of recycling and processing centers needs to be controlled betwee two and four
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