电子垃圾逆链模拟用于圣保罗循环经济:基于人工智能的经济和环境优化方法
Geraldo Cardoso de Oliveira Neto1, Sidnei Alves de Araujo2, Robson Aparecido Gomes2
1Business Administration and Industrial Engineering Post-Graduation Program, FEI University, Sao Paulo 01525-000, Brazil.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
这项研究优化了巴西圣保罗的废弃电气和电子设备 (WEEE) 反向物流,使用模拟和遗传算法. 优化的网络减少了收集,降低了成本,降低了环境影响,支持循环经济目标.
科学领域:
- 环境科学 环境科学
- 运营研究 运营研究
- 工业工程 工业工程 工业工程
背景情况:
- 废弃电气和电子设备 (WEEE) 的指数式增长带来了重大的经济和环境挑战.
- 现有的反向物流网络往往缺乏效率,导致成本增加和生态影响.
- 向循环经济的过渡需要优化废物管理策略.
研究的目的:
- 在经济和环境方面优化巴西圣保罗的WEEE反向网络.
- 通过有效的废物管理,促进循环经济原则.
- 开发一个可复制的WEEE反向链优化模型.
主要方法:
- 模拟技术的应用用于网络分析.
- 利用遗传算法进行优化.
- 包括燃料,劳动力和运营成本在内的全面经济评估.
- 详细的环境影响评估,包括非生物,生物和温室气体因素.
主要成果:
- 优化的WEEE反向链导致收集数量减少,并提高了立方体利用率.
- 通过降低运输和运营成本,实现了显著的经济效益.
- 实现了大量的环境收益,包括更低的碳足迹.
- 优化的结构证明了对战略循环经济行动的贡献.
结论:
- 拟议的模拟和遗传算法方法有效地优化WEEE反向网络,以获得经济和环境的好处.
- 这些发现支持了2030年议程,旨在减少城市地区与交通相关的碳足迹.
- 这项研究为公司在全球范围内构建和优化WEEE反向链提供了有价值的框架.
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