Document Type

Closed Project

Publication Date

Winter 2018


Ramin Neshati

Course Title

Decision Making in Engineering and Technology Management

Course Number

EMGT 530/630


Electric power production -- Sudan, Electric power distribution, Hierarchical Decision Model, Decision making, Engineering -- Management


Resources management is big problem in many countries especially in developed countries. In this paper the author target a big problem in African country called Sudan. The electricity and how they can generate safe and sustainable electricity in this country is the topic in this paper. This particular country was separated 7 years ago and the resources were divided between new countries at that time the electricity problem became a big issue for both new countries. The people faced lack of energy and the author try to solve the energy problem by focusing in increasing demand in electricity and how they can provide a sustainable energy for all population.

The result and final model in this study takes the four most reasonable options for how they can generate electricity to cover the increasing in demand and population and outlines major and sub criteria that were determined by an extensive review of literature and opinions provided by experts on this type of projects. From here, the HDM is further refined by using the ETM-HDM online software provided. This model allows for a comparison of tangible factors with varying priorities by way of a pairwise comparison. The hierarchy consisted of four levels: goal, criteria, sub-criteria, and alternatives. A group of six experts with various backgrounds and experience between 10 to 30 years of experience in power, social, economic and environmental issues were invited from companies, governments, academia and United Nations. Accordingly their judgments were quantified and incorporated into the online model.

According to the outcomes of this model, four alternatives for generate a huge power to cover all shortage in electricity were prioritized using the analytic hierarchy process. The results of the model showed that the solar energy project was the most feasible. The research outcomes revealed the possibility of using different methods to rank possible alternatives for generate electricity projects. However, after research and do some qualitative analysis the author chose import electricity from another country because there is no way to generate enough power with sanction and some restricted. The research also highlighted the importance of selecting the correct criteria and sub-criteria, which can have an impact on the final outcomes of the model.


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