Use of Fast Fourier Transform for Sensitivity Analysis

Prošek, Andrej; Leskovar, Matjaž

doi:10.5772/59769

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2017

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“…In general, post-optimality analyses are conducted by defining the model, its decision variables and parameters, assigning probability density functions to every input data, generating an input matrix through a suitable random sampling method, calculating an output vector, and evaluating the effects and relative importance relationship of every input or output [8].…”

Section: Introductionmentioning

confidence: 99%

Sensitivity analysis of multi-objective optimization for solid waste management: A case study of Dares Salaam, Tanzania

Mushi¹,

Nkansah-Gyekye²,

Lyeme³

2017

ntmsci

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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 SWM system 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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Section: Introductionmentioning

confidence: 99%