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2 2018

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Power generation problems ranking using a combination of ahp and moora techniques

Emovon I., Nwaoha T. C.

Research in Logistics & Production

2018

Vol. 8, No. 2

155–-168

The inadequate electricity generation in Nigeria is the major reason for her economic woes. From the literature some of the problems affecting power generation in Nigeria are lack of policy continuity, drought, Militant activities and corruption. However the degree of impact each of the problem has on power generation varies. Therefore there a need to develop a tool that will identify critical problems such that power generation managers’ will use bulk of the meagre available resources in addressing the more critical ones. In this paper a tool which combine Multi-Objective Optimisation on the basis of Ratio Analysis (MOORA) technique with Analytical Hierarchy Process (AHP) is proposed for the prioritisation of the problems affecting power generation in Nigeria. The technique is illustrated with a numerical example developed from data from experts. From the result of the analysis, poor maintenance of power generation infrastructure, militant activities and corruption are the most critical problems hampering power infrastructure development in Nigeria. The proposed technique have been proven to be effective in prioritising power generation challenges as it produces almost completely same result with well-known mathematical techniques in literature.

Improving risk analysis capability of FMEA using evaluation based on distance from average solution (EDAS): a case study of turbocharger system

Emovon I.

Journal of Mechanical and Energy Engineering

2018

Vol. 2, No 1

13--16

Failure Mode and Effect Analysis (FMEA) is a key risk management tool used in detecting and eradicating potential failure for the purpose of improving the reliability and safety of a system. However, the traditional FMEA in spite of its popularity has inadequacies that have hindered the effectiveness of the tool in analyzing risk of failure modes. Due to the shortcomings of the technique, different improved versions have been suggested in the literature in order for risk to be analysed more effectively but majority of these versions are computationally challenging. In this paper, a simple approach is in troduced for improving the risk analysis capability of the FMEA. The approach utilizes Evaluation based on Distance from Average Solution (EDAS) as an alternative to RPN of FMEA in analyzing risk of failure. A case study of the turbocharger system of a diesel engine is applied to demonstrate the usefulness of the method. The result obtained from the EDAS method were compared with approaches in the literature previously used to address risk analysis of a turbo charger. The result of the analysis indicated that the EDAS method is a feasible alternative technique for risk analysis.