Performance-Based Selection of Diesel Generator Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

Friday Erhimudia Ukrakpor^1, , Musa Momodu Omokhafe¹ and Chukwuka Uboh¹

¹Department of Mechanical Engineering, Delta State University, Abraka, Nigeria

Cite this paper:
Friday Erhimudia Ukrakpor, Musa Momodu Omokhafe and Chukwuka Uboh. Performance-Based Selection of Diesel Generator Using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). American Journal of Industrial Engineering. 2026; 10(1):8-11. doi: 10.12691/ajie-10-1-1

Abstract

The selection of diesel generators is a critical decision in environments requiring reliable and uninterrupted power supply. This study presents a structured multi-criteria decision-making (MCDM) approach for evaluating and selecting the most suitable diesel generator using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Four key performance criteria, fuel consumption, lifespan, estimated maintenance time, and mean time between failures (MTBF)were considered. Criteria weights were determined using the Analytic Hierarchy Process (AHP), ensuring consistency and objectivity. A case study involving four 75 kVA diesel generator alternatives was conducted. The results indicate that Alternative C achieved the highest closeness coefficient (0.970), making it the most preferred option due to its superior reliability, longer lifespan, and lower maintenance requirements. The study demonstrates the effectiveness of integrating AHP and TOPSIS for rational and data-driven decision-making in equipment selection.

Keywords:
Diesel generator TOPSIS AHP multi-criteria decision-making MTBF performance evaluation

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