The objective of this paper is to understand the interaction of the various factors and to identify driving and dependent 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 failure probability in railway maintenance and help management devise policies and guidelines for railway maintenance related tasks.
Maintenance, human probability, modelling, factors
