Maintenance strategy selection using Fuzzy analytical hierarchy process in gas power plants A case study in South Baghdad Gas Station

This research presents a systematic approach for selecting a maintenance strategy in an industrial facility through the integration of the Analytical Hierarchy Process (AHP) and Fuzzy Logic. The first Baghdad South Gas Power Plant needs to reduce production shutdowns and maintain the safety of the plant and its employees, especially given the significant need to increase maintenance operations. This study aims to select the most appropriate maintenance strategies for the power plant that maintains the plant's efficient operation. The Fuzzy Analytical Hierarchy Process (FAHP) technique was used to determine the relative importance of each of the main and sub-criteria. Microsoft Excel was used to calculate the results. Relative weights were determined based on a pairwise comparison list conducted by three experts in the power plant. The study concluded that time-based maintenance is the most preferred maintenance strategy for decision makers in the power plant. Condition-based maintenance was the second most important strategy. We recommend adopting time-based maintenance and increasing reliance on condition-based and predictive maintenance, while reducing reliance on corrective maintenance.