The choice of a solid waste management system using the Electre II decision-aid method

Hokkanen, Joonas; Salminen, Pekka; Rossi, Eliandra Mirlei; Ettala, Matti

doi:10.1016/s0734-242x(95)90118-3

Cited by 22 publications

(15 citation statements)

References 40 publications

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“…These can vary according to the specific purpose. Despite these differences, there are three major common steps; namely, normalizing the decision matrix, weighting the normalized decision matrix, and determining the concordance and the discordance [87,94,95]. However, for ease of analysis, the three steps can be subdivided into several smaller steps [93,96,97].…”

Section: Methodsmentioning

confidence: 99%

Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania

Kazuva

Zhang

2019

IJERPH

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Currently, large quantities of municipal solid waste (MSW) in many cities of the developing countries are being dumped in informal or formal but unregulated dumpsites that threaten the ecological environment and general public health. The situation in Dar es Salaam, Tanzania is of particular concern and is further challenged by a rapidly growing population and urbanization without adequate waste management systems. Current MSW treatment options have been selected based on the judgment and the experience of individuals with authority while underestimating the role of scientifically derived techniques. This study analyzes the most efficient waste treatment options, particularly scenarios with the lowest economic and environmental costs (EcC and EnC, respectively). It uses 12 years (2006–2017) of MSW management data and compares potential waste treatment options for the identified waste streams. A total of 108 different scenarios were designed, and a multi-criteria analysis method was applied to enable the identification of 11 scenarios with acceptable EcCs and EnCs. These formed an initial decision matrix of aggregation dominance that was then categorized into four groups, each represented by the most ideal point. Finally, the dominant scenario that formed the core for all considered options was found. It costs around $274,100 USD while saving about 1585 metric tons (MT) of CO2 emissions daily. This suggests that after all the MSW generated in the city is collected and segregated, organic waste should be composted whilst plastic, paper, glass, and ferrous metal should be recycled. After treatment, other waste will go to some form of landfill. Sustainable management of MSW in this city and others with similar conditions should consider particular local conditions and could use the methods and the findings of this study as a starting point.

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Section: Methodsmentioning

confidence: 99%

Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania

Kazuva

Zhang

2019

IJERPH

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“…The ELECTRE family of outranking methods is widely used in literature. Some examples include: the assessment of engineered infrastructure investments [14][15][16][17][18][19][20][21][22][23], the extension of existing planning tools to assess municipal solid waste management based on outranking approaches for MCDM and multi-attribute rating techniques [18,[24][25][26][27][28][29][30], personalised ranking of British Universities [31], investment stock selection [32], sustainable demolition waste management strategy [33], energy systems selection [34], thin-film (TF) PV technology processes [35], urban storm water drainage [27] and housing evaluation [36]. These studies illustrate the potential of outranking methods, particularly ELECTRE tools, to assess and provide insights of complex problems, such as PV systems that are viewed with the different conflicting objectives of the stakeholders.…”

Section: Review On the Application Of Ranking Methodsmentioning

confidence: 99%

Decision support system for ranking photovoltaic technologies

Azzopardi

Ceseña

Mutale

2013

IET Renewable Power Generation

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The primary photovoltaic (PV) system investment decision-making criteria are economics. These criteria are focused on system efficiency and cost, which is reasonable in the context of generous financial support schemes. However, when financial support is phased out, the PV market becomes technologically diversified. Environmental concerns and other qualitative issues become significant, whereas efficiency and costs may fail to describe PV systems properly. This study presents the first application of outranking techniques for PV technologies within an overall framework that includes qualitative, economic, technical and environmental criteria. The multi-criteria analysis method, ELECTRE III, identifies optimal investment decisions from a pre-determined set of investment alternatives. A case study based on a grid-connected household PV system in the United Kingdom illustrates the methodology. The results suggest emerging excitronic PV technologies such as organic PV to lead the ranking when compared with inorganic technologies. These results have to be taken in the context of a number of assumptions and estimates as well as free market, no financial support schemes and promising future technology developments. The overall decision-making framework provides comprehensive mathematical evaluations that assist PV owners, policy makers and the business community decide on technology, financial support schemes or business strategies.

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“…(1996), the WRAP model (Hasit & Warner 1981), the HARBINGER model (Rushbrook & Pugh 1987), Kaila (1987), Everett & Modak (1996), Caruso et al . (1994) and Hokkanen et al . (1995).…”

Section: Overview Of Models For Solid Waste Management Planningmentioning

confidence: 96%

“…Caruso et al . (1994) and Hokkanen et al . (1995) apply a different approach to solid waste management planning.…”

Section: Overview Of Models For Solid Waste Management Planningmentioning

confidence: 96%

Modelling national solid waste management

Söderman¹

2000

Waste Man Res

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The MWS model (MIMES/Waste for Sweden) is a systems engineering model for strategic planning of national solid waste management systems. It was developed for Sweden, but the general approach can be applied to other countries as well. The MWS model integrates cost minimization and emissions accounting and is intended for evaluating, from economic and environmental points of view, waste treatment technologies and waste management policies. The potential users of the model are, e.g. government agencies, companies, trade associations and funding authorities. In the MWS model, the Swedish waste management system is represented by 10 generalized municipal waste management systems. The integration of the generalized systems into a national model allows an analysis on a national level as well as on a generalized municipal level. A case study of the Swedish solid waste management system illustrates the application of the MWS model.

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The choice of a solid waste management system using the Electre II decision-aid method

Cited by 22 publications

References 40 publications

Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania

Analyzing Municipal Solid Waste Treatment Scenarios in Rapidly Urbanizing Cities in Developing Countries: The Case of Dar es Salaam, Tanzania

Decision support system for ranking photovoltaic technologies

Modelling national solid waste management

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