摘要
随着社会环境保护意识的提高和可持续发展目标的推进,绿色供应链管理(GSCM)变得越来越重要了。文章深入探讨了人工智能(AI)技术在绿色供应链废弃物管理中的应用,旨在优化废弃物回收流程、提升其分类效率及处理效果。通过构建深度学习与机器学习融合的技术框架,研究人员实现了废弃物管理的智能化升级,有效减少了废弃物的产生,显著提升了资源回收利用率,并切实减轻了环境负担。并且通过案例研究,验证了所提模型的有效性,为企业提供了一种既经济又环保的废弃物管理解决方案。
Green Supply Chain Management(GSCM)has become increasingly important in the context of rising environmental awareness and the promotion of sustainable development goals.This paper delves into the innovative application of artificial intelligence(AI)within the realm of waste management in green supply chains,with the goal of optimizing the waste recycling process,improving its sorting efficiency and treatment effect.The researchers adopt a technology framework based on deep learning and machine learning to intelligently upgrade waste management,thereby reducing waste,improving resource recycling rates,and alleviating environmental burdens.Through case studies,the effectiveness of the proposed model is verified,offering enterprises an economical and environmentally friendly waste management solution.
作者
朱莉红
ZHU Lihong(Taiyuan City Vocational Technical College,Taiyuan 030000,China)
出处
《物流科技》
2025年第6期111-114,共4页
Logistics Sci Tech
基金
山西省高等学校科技创新计划项目“校园信息化系统建设研究——以某高校为例”(2024L570)。
关键词
人工智能
绿色供应链
废弃物管理
深度学习
资源回收
artificial intelligence
green supply chain
waste management
deep learning
resource recycling
作者简介
朱莉红(1994-),女,山西朔州人,太原城市职业技术学院,助教,硕士,研究方向:绿色供应链、能源经济。
