Sensitivity analysis of multi-objective optimization for solid waste management
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Date
2017-11-08
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New Trends in Mathematical Sciences
Abstract
In this study, a sensitivity analysis of a multi-objective optimization model for solid waste management (SWM) for Dar es
Salaam city in Tanzania is considered. Our objectives were to identify the most sensitive parameters and effect of other input data to
the model output. Five scenarios were considered by varying their associated parameter values. The results showed that the decrease of
total cost for the SWMsystem in all scenarios was observed compared to the baseline solution when the single landfill was considered.
Furthermore, the analysis shows that the variable cost parameter for the processing facilities is very sensitivity in such a way that if
you increase the variable cost then, there is a rapid increase of total cost for the SWM system and the vice versa is true. The relevant
suggestions to the decision makers were also discussed.
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Keywords
Sensitivity analysis, optimum path, baseline solution, sensitive parameter, cost for SWM system