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Reverse logistics of municipal solid waste------Study on the Location of transfer stations
Author(s) -
HU Ya-jie,
Yang Wen-sheng
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/619/1/012004
Subject(s) - reverse logistics , site selection , location model , selection (genetic algorithm) , municipal solid waste , greedy algorithm , transfer station , heuristic , facility location problem , computer science , operations research , transfer (computing) , set (abstract data type) , premise , operations management , mathematical optimization , business , engineering , waste management , supply chain , mathematics , algorithm , artificial intelligence , marketing , programming language , linguistics , philosophy , parallel computing , political science , law
Reverse logistics optimization design for recyclable municipal solid waste is a social and economic problem. This paper mainly studies the location problem of reverse logistics network transfer station, which involves how to select the most effective location from the set of points to be selected. In this paper, an improved P median location selection model is proposed on the premise of minimizing the impact on residents, and greedy extraction heuristic algorithm is adopted to solve the model. Finally, the effectiveness of the model in the construction of MSW reverse logistics site selection is illustrated through an example analysis, and theoretical reference is provided for the actual site selection problem.

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