Abstract:

Most countries in sub-Saharan Africa need economy development to come out from poverty they presently experiencing. In trying to meet the needs of the present, however, the ability of future generations to meet their own needs should not be compromised. To carry out a reliable study on how to achieve a sustainable economic development in this part of the world under consideration, mathematical models are used to capture all the abstractions and sensitivities involved in a study like this.  Linear programming, Goal Programming, and Scheduling Algorithms are adopted to build models that will help to create an optimal line of action towards achieving an economic development that is sustainable in these countries. The models are solved using computer software; including LINGO, LINDO and LIPs. Sensitivity analysis is carried out on the models to see how sensitive the parameters, in the models, are. The results obtained are to be used as guides for how the sub Saharan African countries can come out their poverty in a sustainable way. This is achieved by making an informed decision that will lead to an optimal result.