An integrated Statistical Variance and VIKOR methods for Prioritising Power Generation problems in Nigeria

I. Emovon, D. O. Samuel


The bedrock of industrialization of any nation is the supply of adequate and efficient electricity to power both homes and industries. However, electricity supply in Nigeria is grossly inadequate and inefficient, which has resulted in many local industries becoming moribund. The inadequate power supply is mainly due to power generation problems. Some of the problems identified include, among others lack of energy mix, militant activities and corruption. The purpose of this paper is to develop a tool for prioritizing these problems for power generation. Managers able to identify the more critical ones and allocate more resource in addressing them easily.  Hence, this paper presents a tool based on the integration of statistical variance and Vlsekriterijumska Optimizacija Ikompromisno Resenje (VIKOR) and compromise solution methods for prioritization of the various problems confronting power generation in Nigeria. The statistical variance method is used in the decision criteria weights determination while the VIKOR method is used in the ranking of power generation problems. The proposed technique was demonstrated with data collected from experts. The result of the analysis showed that the most critical power generation challenge is the poor maintenance of power generation infrastructure.  



Power generation problems; VIKOR method; Statistical variance method; decision criteria.

Full Text:



ISSN : 2180-3811       E-ISSN : 2289-814X

Best viewed using Mozilla Firefox, Google Chrome and Internet Explorer with the resolution of 1280 x 800