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印度塑料废物的机械回收场景的综合分析层次过程-灰色关系分析方法

Radhika Sharma¹, Sushma Pardeshi¹, Jowin Joseph¹

¹CSIR-National Environmental Engineering Research Institute (NEERI), Nagpur, 440020, India.

Environmental science and pollution research international

|February 27, 2024

概括

本研究使用多标准决策方法确定了印度塑料废弃物 (PW) 的最佳机械回收过程. 从回收PET片 (MR6) 制造PET带成为最有效和可持续的方法.

科学领域:

材料科学与工程材料科学与工程
环境科学环境科学
工业工程工业工程工业工程

背景情况:

机械回收对于印度的塑料废物 (PW) 管理和塑料循环经济 (CEoP) 至关重要.
评估三重底线机械回收的多个参数是一个复杂的决策挑战.
需要一个系统的视角来优化PW回收过程.

研究的目的:

用多标准决策方法评估各种机械回收场景.
确定影响质量导向机械回收的关键标准.
确定塑料废物的最佳机械回收过程.

主要方法:

采用综合的分析层次过程 (AHP) 和灰色关系分析 (GRA) 方法.
为收集数据,与机械回收商进行了半结构面试.
评估标准包括经济,技术方面,资源消耗和环境影响.

主要成果:

技术参数,如回收质量,资源效率,加工率和可回收性,显著影响机械回收.
场景MR6 (用回收PET片制造PET带) 被列为最佳过程.
排名更高的工艺展示了优越的回收质量,效率和资源优化.

结论:

AHP-GRA模型有效地确定了塑料废物的最佳机械回收策略.
优先考虑技术参数会导致更高效和更可持续的回收结果.
该研究为在印度开发有效的三重底线机械回收提供了框架.

关键词:

分析层次是分析层次的过程.塑料的循环经济灰色的关系分析.印度情景印度情景机械回收塑料废弃物的机械回收.

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