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基于层次分析法-逼近理想解排序法(AHP-TOPSIS)技术选择合适的废纸和纸浆可回收物回收计划的新方法。

New approach for selecting a suitable recycling collection program for recovered paper and pulp recyclables using AHP-TOPSIS techniques.

机构信息

Department of Industrial Engineering, College of Engineering, King Abdulaziz University, Saudi Arabia.

出版信息

Waste Manag Res. 2021 Nov;39(11):1406-1413. doi: 10.1177/0734242X21994903. Epub 2021 Mar 24.

DOI:10.1177/0734242X21994903
PMID:33759660
Abstract

In the past decade, the use of multiple-criteria decision analysis technology has dramatically increased in solving complex real-world problems in solid waste management. Likewise, many municipalities have paid attention to finding feasible solutions for disposal and recycling of solid waste due to the increase in waste generation rates worldwide. Therefore, policy-makers must determine which recycling program to be implemented among various recycling program options. In this paper, a new approach to select a recycling program for recovered paper and pulp recyclables was proposed using analytic hierarchy process-Technique for Order Preference by Similarity to Ideal Solution (AHP-TOPSIS) techniques. A set of essential parameters of the decision-making system were identified, and a numerical case to illustrate the procedure was conducted. Our findings show very encouraging results to use a combined model between AHP and TOPSIS to select a suitable recycling program for different recovered recyclable materials.

摘要

在过去的十年中,多准则决策分析技术在解决固体废物管理中的复杂现实问题方面的应用显著增加。同样,由于全球废物产生率的增加,许多市政府也开始关注寻找可行的废物处置和回收解决方案。因此,决策者必须在各种回收计划方案中确定要实施哪种回收计划。本文提出了一种使用层次分析法 - 理想解排序技术(AHP-TOPSIS)来选择回收纸张和纸浆可回收物的回收计划的新方法。确定了决策系统的一组基本参数,并进行了数值案例来说明该过程。我们的研究结果表明,使用 AHP 和 TOPSIS 相结合的模型来选择不同可回收材料的合适回收计划是非常有前景的。

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