Open AccessReliability Analysis of Dumpers through FMEA-TOPSIS Integration
Author(s) -
M. Pradeep Kumar,
N. V. S. Raju,
M. Navaneetha
Publication year - 2021
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst0709018
Subject(s) - topsis , failure mode and effects analysis , ideal solution , reliability engineering , vagueness , entropy (arrow of time) , computer science , multiple criteria decision analysis , reliability (semiconductor) , ranking (information retrieval) , operations research , risk analysis (engineering) , data mining , engineering , fuzzy logic , artificial intelligence , business , power (physics) , physics , quantum mechanics , thermodynamics
Failure modes and effects analysis is an effective and most common traditional method to find and eradicate the failure modes inthe system. In the FMEA method ranks are assigned based on risk priority number and are calculated by simply multiplyingSeverity(S), Occurrence(O), and Detection(D). FMEA doesn't consider subjectivity and vagueness in the decision-makerjudgement and this method has been criticized due to its limitations. This project work aims to overcome the shortcomings ofFMEA by integrating with the Multi-Criterion Decision Making (MCDM) model by Shannon Entropy weight method withTechnique for Order of Preference by Similarity to Ideal Solutions (TOPSIS). The entropy method is used to calculate weights ofthe risk factors and TOPSIS is to examine the priority of ranking of failure modes or causes identified by the FMEA Study. In thePresent work, FMEA and TOPSIS Hybridization method was performed to analyze potential failure modes of a group of dumpersin open cast mining at Singareni Collieries Company Limited (SCCL) in Ramagundam. The results obtained from thishybridization can be used to take the corrective actions in time so that the system reliability is improved.