EVALUATION OF CRITICAL FACTORS AFFECTING MAINTENANCE TASKS: A CASE STUDY

Abstract

The objective of this paper is to identify and analyse the factors affecting the probability of human performance in maintenance tasks. It is well known fact that
there are number of parameters and factors which directly or indirectly result in a decline in human performance, causing errors in maintenance. This research work investigates the factors affecting human performance when performing maintenance tasks. The objective is to understand the interaction of the various factors and to  identify driving and dependent factors. The factors are identified through a survey of the literature and ranked using a Likert scale. The reliability of measures is pretested by applying Cronbach’s alpha coefficient to responses to the questionnaire given to maintenance personnel. An ISM-based model has been developed to analyse the interactions among the factors. The driver power-dependence matrix sheds light on the relative importance of each factor and the  interdependence among the factors. An interpretive structural model (ISM) is presented, and factors are classified using matrice d'impacts croises-multiplication appliqué à un classement (MICMAC). The research may help maintenance management understand the interaction of factors affecting human performance in maintenance and help management devise policies and  guidelines for maintenance related tasks.