Jovanovic Sasa, Savic Slobodan, Jovicic Nebojsa, Boskovic Goran, Djordjevic Zorica
University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia.
University of Kragujevac, Faculty of Engineering, Sestre Janjic 6, 34000 Kragujevac, Serbia
Waste Manag Res. 2016 Sep;34(9):884-95. doi: 10.1177/0734242X16654753. Epub 2016 Jun 27.
Multi-criteria decision making (MCDM) is a relatively new tool for decision makers who deal with numerous and often contradictory factors during their decision making process. This paper presents a procedure to choose the optimal municipal solid waste (MSW) management system for the area of the city of Kragujevac (Republic of Serbia) based on the MCDM method. Two methods of multiple attribute decision making, i.e. SAW (simple additive weighting method) and TOPSIS (technique for order preference by similarity to ideal solution), respectively, were used to compare the proposed waste management strategies (WMS). Each of the created strategies was simulated using the software package IWM2. Total values for eight chosen parameters were calculated for all the strategies. Contribution of each of the six waste treatment options was valorized. The SAW analysis was used to obtain the sum characteristics for all the waste management treatment strategies and they were ranked accordingly. The TOPSIS method was used to calculate the relative closeness factors to the ideal solution for all the alternatives. Then, the proposed strategies were ranked in form of tables and diagrams obtained based on both MCDM methods. As shown in this paper, the results were in good agreement, which additionally confirmed and facilitated the choice of the optimal MSW management strategy.
多准则决策(MCDM)对于在决策过程中要处理众多且往往相互矛盾因素的决策者来说,是一种相对较新的工具。本文基于MCDM方法,提出了一种为克拉古耶瓦茨市(塞尔维亚共和国)选择最佳城市固体废物(MSW)管理系统的程序。分别使用了两种多属性决策方法,即简单加权法(SAW)和逼近理想解排序法(TOPSIS),来比较所提出的废物管理策略(WMS)。使用软件包IWM2对每个创建的策略进行了模拟。为所有策略计算了八个选定参数的总值。对六个废物处理选项各自的贡献进行了评估。SAW分析用于获得所有废物管理处理策略的总和特征,并据此进行了排名。TOPSIS方法用于计算所有替代方案与理想解的相对贴近度因子。然后,根据这两种MCDM方法以表格和图表的形式对所提出的策略进行了排名。如本文所示,结果吻合良好,这进一步证实并便于选择最佳的城市固体废物管理策略。