An integrated optimization approach and multi-criteria decision analysis for supporting the waste-management system of the City of Beijing, China

Attribute based specification, comparison and selection of feed stock for anaerobic digestion using MADM approach

“…They found that it is practical and feasible method for the integrated assessment and ranking of anaerobic digestion technologies by considering different view points and uncertainties of the decision making process. Xi et al [22] studied the waste management system in china and used MCDA methods for proposing long term waste management plans [22]. MADM techniques are applied for the selection of a robot [23], thermal power plant [24], composite [25] and electroplating system [26] with the help of attributes by different researchers.…”

Municipal solid waste management and energy production: Consideration of external cost through multi-objective optimization and its effect on waste-to-energy solutions

“…[12][13][14][15][16][17]) and also studies that deal with application in specific regions, e.g. Munich-Germany [18], Beijing-China [19], FoshanChina [20,21], Regina-Canada [22,23], Thrace-Greece [24], Port Said-Egypt [25], Alleghany County-USA [26].…”

An Optimisation Model to Consider the NIMBY Syndrome within the Landfill Siting Problem

“…Chang et al [20] proposed a fuzzy multicriteria analysis integrated with a GIS; in an initial stage, a GIS-based spatial analysis identifies the potential areas that are then examined with fuzzy multicriteria analysis. Xi et al [21] integrated an optimisation approach with multicriteria decision analysis for supporting long-term planning of solid waste management in the City of Beijing (China); also here, fuzzy theory was adopted inside the multicriteria analysis model. A GIS-based multicriteria analysis for siting a landfill in the Polog region of Macedonia was proposed in [22]; in the multi-criteria decision framework, environmental and economic factors were standardised using fuzzy membership functions, and combined by integrating analytic hierarchy process and ordered weighted average techniques.…”