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决策支持系统用于确定电子废物处理厂的最佳位置:以希腊为例的研究

Decision support system for the optimal location of electrical and electronic waste treatment plants: a case study in greece.

机构信息

Laboratory of Heat Transfer and Environmental Engineering, Aristotle University, Thessaloniki, Box 483, 54124 Thessaloniki, Greece.

出版信息

Waste Manag. 2010 May;30(5):870-9. doi: 10.1016/j.wasman.2009.11.029. Epub 2009 Dec 23.

DOI:10.1016/j.wasman.2009.11.029
PMID:20031385
Abstract

Environmentally sound end-of-life management of Electrical and Electronic Equipment has been realised as a top priority issue internationally, both due to the waste stream's continuously increasing quantities, as well as its content in valuable and also hazardous materials. In an effort to manage Waste Electrical and Electronic Equipment (WEEE), adequate infrastructure in treatment and recycling facilities is considered a prerequisite. A critical number of such plants are mandatory to be installed in order: (i) to accommodate legislative needs, (ii) decrease transportation cost, and (iii) expand reverse logistics network and cover more areas. However, WEEE recycling infrastructures require high expenditures and therefore the decision maker need to be most precautious. In this context, special care should be given on the viability of infrastructure which is heavily dependent on facilities' location. To this end, a methodology aiming towards optimal location of Units of Treatment and Recycling is developed, taking into consideration economical together with social criteria, in an effort to interlace local acceptance and financial viability. For the decision support system's needs, ELECTRE III is adopted as a multicriteria analysis technique. The methodology's applicability is demonstrated with a real-world case study in Greece.

摘要

电气和电子设备的环境无害化结束生命周期管理已成为国际上的首要问题,这不仅是因为废物数量不断增加,而且还因为其中含有有价值和危险的物质。为了管理废弃电气和电子设备 (WEEE),人们认为需要有足够的处理和回收设施基础设施作为前提条件。需要安装大量的这种工厂,以便:(i)满足立法需求,(ii)降低运输成本,以及(iii)扩大逆向物流网络并覆盖更多地区。然而,WEEE 回收基础设施需要大量的支出,因此决策者需要非常谨慎。在这种情况下,应特别注意基础设施的可行性,因为基础设施严重依赖于设施的位置。为此,开发了一种旨在优化处理和回收单元位置的方法,同时考虑了经济和社会标准,以努力交织当地的接受度和财务可行性。为了满足决策支持系统的需求,采用了 ELECTRE III 作为多标准分析技术。该方法的适用性通过希腊的一个实际案例研究得到了证明。

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