School of Management Science and Real Estate, Chongqing University, Chongqing, China.
Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China; Peng Cheng Laboratory, Shenzhen, Guangdong, China.
Waste Manag. 2023 Apr 15;161:17-28. doi: 10.1016/j.wasman.2023.02.023. Epub 2023 Feb 28.
The booming express delivery industry corresponds to the environmental challenges caused by massive express packaging waste (EPW). An efficient logistics network is necessary link to support EPW recycling. This study, therefore, designed a circular symbiosis network for EPW recycling based on urban symbiosis strategy. The treatment of EPW in this network includes reuse, recycling and replacing. An optimization model with multi-depot collaboration combining material flow analysis and optimization methods was developed and a hybrid non-dominated sorting genetic algorithm-II (NSGA-II) was designed as technical support for designing the circular symbiosis network while quantitatively assessing the economic and environmental benefits of the network. The results show that the designed circular symbiosis option has better resource saving and carbon footprint reduction potential than both the business as usual option and circular symbiosis option without service collaboration. In practice, the proposed circular symbiosis network can save EPW recycling costs and reduce carbon footprint. This study provides a practical guideline for the application of urban symbiosis strategies to help urban green governance and the sustainable development of express companies.
蓬勃发展的快递行业对应着大量快递包装废弃物（EPW）所带来的环境挑战。高效的物流网络是支持 EPW 回收的必要环节。因此，本研究基于城市共生策略，为 EPW 回收设计了一个循环共生网络。该网络中 EPW 的处理包括再利用、回收和替代。本研究开发了一个具有多仓库协作的优化模型，结合物流分析和优化方法，并设计了一种混合非支配排序遗传算法-II（NSGA-II）作为设计循环共生网络的技术支持，同时对网络的经济和环境效益进行定量评估。结果表明，与常规方案和无服务协作的循环共生方案相比，所设计的循环共生方案具有更好的资源节约和减少碳足迹的潜力。在实践中，所提出的循环共生网络可以节省 EPW 回收成本并减少碳足迹。本研究为城市共生策略的应用提供了实用指南，有助于城市绿色治理和快递公司的可持续发展。
