Abstract
The mineral processing industries use vibrating screens to sort materials by varying sizes. When subjected to cyclic loading with a high feed rate, the vibrating screen can experience metal fatigue. New maintenance management techniques are required to derive recommendations from qualitative and quantitative data. The study explores the application of the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and FMEA (Failure Mode and Effects and Analysis) in identifying the high-priority failure modes in the vibrating screen. The TOPSIS technique is a significant tool for decision-making because it can evaluate and rank the alternatives according to their closeness to the ideal solution. The study focuses on improving the maintenance planning within the mineral processing industry. The data was collected through online survey questions to professional experts from the mining industries and analysed resulting data using a decision matrix normalised through the TOPSIS technique. The Likert scale ranging from 1-10 was used to assign the ratings on the critical failures based on their severity, detectability and occurrence criteria. The results indicate that the drive beam fracture in the screen should be prioritized when doing maintenance activities, demonstrating a logical practice to optimize the equipment's reliability.