Halidi A. LYEME, Allen MUSHİ, Yaw NKANSAH-GYEKYE

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

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.

Keywords:

Sensitivity analysis optimum path, baseline solution, sensitive parameter,

PDF

___

Babalola, M. A. (2015). A multi-criteria decision analysis of waste treatment options for food and biodegradable waste management in japan. Environments. 2(4): 471-488.
Chinneck, J. W. (2006). Practical optimization: a gentle introduction. Systems and Computer Engineering), Carleton University, Ottawa. http://www. sce. carleton. ca/faculty/chinneck/po. html.
Hamby, D. (1994). A review of techniques for parameter sensitivity analysis of environmental models. Environmental monitoring and assessment. 32(2): 135-154.
Helton, J., Iman, R., Johnson, J. and Leigh, C. (1986). Uncertainty and sensitivity analysis of a model for multicomponent aerosol dynamics. Nuclear technology. 73(3): 320-342.
Hillier, F. S. (2012). Introduction to operations research. Tata McGraw-Hill Education.
Iman, R. L. and Helton, J. C. (1988). An investigation of uncertainty and sensitivity analysis techniques for computer models. Risk analysis. 8(1): 71-90.
Lyeme, H. A., Mushi, A. and Nkansah-Gyekye, Y. (2016). Multi-objective optimization model formulation for solid waste management in dar es salaam, tanzania. Asian Journal of Mathematics and Applications. 2017.
Provsek, A. and Leskovar, M. (2015). Use of fast fourier transform for sensitivity analysis. http:cdn.intechopen.com/pdfs-wm/48177.pdf. Accessed on 10 November 2016.
Vanderbei, R. J. et al. (2015). Linear programming. Springer.