Reliability Analysis of Dumpers through FMEA-TOPSIS Integration

Abstract

Failure modes and effects analysis is an effective and most common traditional method to find and eradicate the failure modes in the system. In the FMEA method ranks are assigned based on risk priority number and are calculated by simply multiplying Severity(S), Occurrence(O), and Detection(D). FMEA doesn't consider subjectivity and vagueness in the decision-maker judgement and this method has been criticized due to its limitations. This project work aims to overcome the shortcomings of FMEA by integrating with the Multi-Criterion Decision Making (MCDM) model by Shannon Entropy weight method with Technique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). The entropy method is used to calculate weights of the risk factors and TOPSIS is to examine the priority of ranking of failure modes or causes identified by the FMEA Study. In the Present work, FMEA and TOPSIS Hybridization method was performed to analyze potential failure modes of a group of dumpers in open cast mining at Singareni Collieries Company Limited (SCCL) in Ramagundam. The results obtained from this hybridization can be used to take the corrective actions in time so that the system reliability is improved.