Hadi Balouei Jamkhaneh

Abstract Purpose - The aim of this study is to develop a 3D model of decision making grid (DMG) considering failure detection rate. Design/methodology/approach - In a comparison between DMG and Failure Modes and Effects analysis (FMEA), severity has been assumed as time to repair and occurrence the same as frequency of failure. Detection rate has been added as the third dimension of DMG. Nine months data of 21 equipments of casting unit of Mobarakeh Steel Company (MSC) has been analyzed. Then, by using Condition Monitoring (CM) technique, appropriate maintenance strategies have been suggested. While in 2D DMG, CM is used when downtime is high and frequency is low, its application has been developed for other maintenance policies in 3D DMG. Findings - Findings indicate that the results obtained from the developed DMG are different from traditional grid results, and it is capable of suggesting maintenance strategies according to the conditions of machines. Research limitations/implications – In failure detection, the influence of CM techniques is different. In this paper, the CM techniques have been suggested based on their maximum influence on failure detection. Originality/Value - No study has been performed concerning developing DMG by FMEA.