利用优势选择法和设计结构矩阵法设计城市垃圾管理方案

Catalina Pérez, P. Arroyo
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引用次数: 3

摘要

设计公共环境政策不是一件容易的事。为了实现可持续的解决方案,决策者必须考虑社会、环境和经济的多个方面。他们还必须管理相互关联的信息和不同利益相关者的偏好,以确保政策适合社区并实现其目标。本研究的重点是利用优势选择(CBA)决策系统与设计结构矩阵(DSM)相结合,对环境公共政策的设计过程进行复杂决策分析。一个案例研究涉及重新设计一个废物收集程序,其中三个复杂的决策是使用CBA方法进行的。研究人员提出使用DSM来寻找决策的最优顺序,从而减少负迭代。使用DSM有助于减少迭代循环的数量,并记录假设,使过程更加透明。未来的工作应该衡量在公共环境政策的制定过程中使用CBA和DSM的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Municipal Waste Management Programs Using Choosing by Advantages and Design Structure Matrix
Designing public environmental policies is not an easy task. Decision makers must consider multiple social, environmental and economic aspects in order to achieve sustainable solutions. They must also manage interrelated information and preferences of different stakeholders to ensure that the policy suits the community and accomplishes its goals. This research study focused on analyzing the design process of environmental public policies using the Choosing by Advantages (CBA) decision system integrated with Design Structure Matrix (DSM) to make complex decisions. A case study involving the redesign of a waste collection program was conducted, where three complex decisions were made using the CBA method. Researchers proposed using DSM to decrease negative iterations by finding the optimal order of decisions. Using DSM helped to decrease the number of iteration loops, and document the assumptions to make the process more transparent. Future work should measure the impacts of using CBA together with DSM to make decisions in the formulation process of public environmental policies.
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