哥伦比亚考卡谷固体废物处理中心的多标准选址模型

Rojas-Trejos Carlos Alberto, González-Velasco Julián
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摘要

废物产生是人类面临的最重要的问题之一。人类活动产生各种各样的废物,必须以不同的方式处理和处置。这导致需要建造更多的设施来管理废物,并避免进一步的环境破坏。哥伦比亚制定了一项成功的政策,关闭开放的垃圾场并控制污染。尽管在最后处置方面已取得进展,但仍有必要延长最后处置地点的使用寿命,并加强关闭露天堆填区。考卡山谷是哥伦比亚人口第三多的省份,也被认为是第三个产生更多垃圾的省份。本章通过应用模糊逻辑的层次分析法(AHP)解决了在考卡山谷定位固体废物处理中心的问题,这是一种多准则方法,可以比较决策小组的意见。此外,考虑到工业和环境问题、社会动态、基础设施和地形、成本和税收,每个潜在的位置区域都有其特点。在运用AHP的一种变体后,决策小组能够发现Jamundi是开设处置中心的最佳地点。该方法显示出为不同的利益相关者群体确定和优先考虑备选地点的强大潜力。最重要的是,该方法使我们能够更好地构建定性和定量数据,并将多个层面联系起来,以避免选择将影响社会、环境和其他利益相关者的地点,而不考虑考虑利益、机会、成本和风险(BOCR)的各种标准之间的权衡。
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A Multicriteria Location Model for a Solid Waste Disposal Center in Valle Del Cauca, Colombia
Waste production is one of the most important problems that humankind faces. Human-based activities generate diverse waste types that have to be treated and disposed differently. This results in the need to build more facilities to manage the waste and to avoid further environmental damage. Colombia established a successful policy to close open dumps and to control pollution. Notwithstanding the advances that have been made in final disposal, it is necessary to extend the life of the final disposal sites and increase the closure of open landfills. Valle del Cauca is the third most populated Colombian province, and it is also considered the third province that generates more waste. This chapter addresses the problem of locating solid waste disposal centers in Valle del Cauca by applying the analytic hierarchy process (AHP) with fuzzy logic, a multicriteria method that compares opinions of a decision-making group. Additionally, each potential location area is characterized by considering industrial and environmental issues, societal dynamics, infrastructure and topography, costs, and taxes. After applying a variant of AHP, the decision-making group was able to find that Jamundi is the best location to open the disposal center. The method shows strong potential to identify and prioritize alternative locations for a diverse group of stakeholders. Most importantly, the methodology lets us structure better qualitative and quantitative data, as well as to link multiple levels to avoid choosing locations that will affect society, environment, and other stakeholders, without considering the trade-offs among diverse criteria considering benefits, opportunities, costs, and risks (BOCR).
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Prelims Analysis of Urban Logistics Measures in an HORECA Intensive Area Introduction to Supply Chain Management and Logistics in Latin America Index Hybrid Heuristic Method to Solve a Two-Stage Capacitated Facility Location Problem
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