Maintenance Management Cost Analysis using Strategy Optimization for Electric Power Plant

Abstract

Countries around the world are expected to innovate a sustainable energy policy in line with the principles of environmental sensitivity, dependency, efficiency, economy, and uninterrupted service. The services are expected to maintain their energy supply to strengthen their global competitiveness as in the case of UAE electricity sector. This makes the process of maintaining electric power plants demand higher costs due to time allocated, labour and resources, and generation issues and loss. The analytical approach of maintenance and planning strategy is feasible in power plants due to its flexibility during research. This paper focus on maintenance strategy optimization as an initial planning approach of maintaining power plant using large and complex electrical equipment. The cost of maintenance account for up to 40% of operational costs and can rise further if not properly planned, affecting manufacturing systems' productivity and useful life productivity and useful life of manufacturing systems. Simulation results are obtained using AHP analysis for effective decision making at all maintenance management stages especially for dynamic and complex electrical equipment. Also, the direct impact of power plant equipment to operate under a smooth, uninterrupted, and cost-effective electricity generation is analyzed. The analysis involves selecting a single parameter of benefit, cost and requirement and integrated using integer programming technique for optimal maintenance strategy.