A Maintenance Management -based Decision Support System for Multicriteria using AHP Methodology for Power Plants

Abstract

The maintenance process of industrial machines and instrument is faced within the challenges as shortage of a systematic approach in setting maintenance process instruction, and shortage of robust decision making (DM) in maintenance process. A systematic approach (Maintenance Management System (MMS)) is often followed, either awareness or unawareness. Therefore when a MMS system is followed unconsciously, the expected result is often a negative approach. This research describes the implementation of Analytical Hierarchy Process (AHP) for selecting the best MMS system with a one case study of the electric power-generating plants (South Baghdad Power Plant). The selected set of alternatives from MMS are; succeed or fail  M1, unplanned breakdown  M2, Precautious  Maintenance M3, Proactive Maintenance M4, Predictive Maintenance M5 with set of Keys Performance Indicators (KPIs) as the relative to Environment P1, safety P2, Maintenance operation P3, training P4, Fuel P5, Maintenance cost P6, Quality P7, and Crew size P8. Questionnaire is used to gather the information from Electric Power Plants, where it was distributed on employees of power plant, by (60) copies, each copy containing (34) questions.  These information are used further by AHP the best rank of alternatives was preventive maintenance M3 (11.8531), the second was proactive maintenance (9.6722) and so on for the other alternatives. It is recommended to employ operational KPIs with maintenance KPIs and use of another alternative is design improvement maintenance strategy.