Research on Optimization Pathways for Reverse Logistics Networks Based on Ecological Civilization

Jinzhao Song; Xiaofeng Zhang

doi:10.62177/jaet.v2i4.920

Authors

Jinzhao Song Ningxia University
Xiaofeng Zhang Ningxia University

DOI:

https://doi.org/10.62177/jaet.v2i4.920

Keywords:

Reverse Logistics, Municipal Solid Waste (MSW), Ecological Civilization, Network Design

Abstract

Against the backdrop of global urbanization and the transition to a circular economy, the design of reverse logistics networks for municipal solid waste (MSW) is a critical link in advancing urban sustainability. This study aims to develop a ubiquitous optimization framework for MSW reverse logistics networks. By analyzing the current state of urban waste management, a three-tier network structure comprising generation sources, transfer stations, and treatment centers was constructed. Furthermore, regional waste generation quantity was introduced as a fuzzy parameter to address uncertainty. Based on this, a mixed-integer programming (MIP) model was established with the objective of minimizing the total system cost, and a genetic algorithm was designed to solve it. An empirical case study of Hefei City, China, demonstrates that the optimized model can effectively reduce the total network operating cost by approximately 8%. The significant decrease in transportation costs directly enhances the overall efficiency of waste treatment. This research provides a transferable methodology and decision-making support for addressing the solid waste management challenges faced by cities worldwide.

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