Abstract

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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