A hybrid decision making framework for modified failure mode effects and criticality analysis
| Autor: | Agam Gugaliya, Soumava Boral, V. N. A. Naikan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Downtime
Relative value 021103 operations research Computer science Strategy and Management 0211 other engineering and technologies Analytic hierarchy process TOPSIS 02 engineering and technology Multiple-criteria decision analysis General Business Management and Accounting Reliability engineering Failure mode effects and criticality analysis Prospect theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Induction motor |
| Zdroj: | International Journal of Quality & Reliability Management. 36:1266-1283 |
| ISSN: | 0265-671X |
| DOI: | 10.1108/ijqrm-08-2018-0213 |
| Popis: | Purpose Assessing the severity of failure modes of critical industrial machinery is often considered as an onerous task and sometimes misinterpreted by shop-floor engineer/maintenance personnel. The purpose of this paper is to develop an improved FMECA method for prioritizing the failure modes as per their risk levels and validating the same through a real case study of induction motors used in a process plant. Design/methodology/approach This paper presents a novel hybrid multi-criteria decision-making (MCDM) approach to prioritize different failure modes according to their risk levels by combining analytical hierarchy process (AHP) with a newly introduced MCDM approach, election based on relative value distance (ERVD). AHP is incorporated in the proposed approach to determine the criteria weights, evaluated in linguistic terms by industrial expert. Furthermore, ERVD, which is based on the concept of prospect theory of human cognitive process, is applied to rank the potential failure modes. Findings It is found that the proposed FMECA approach provides better results in accordance with the actual industrial scenario and helps in effectively prioritizing the failure modes. A comparison is also made to highlight the differences of results between the proposed approach with TOPSIS and conventional FMECA. Research limitations/implications This research paper proposes an improved FMECA method and, thus, provides a deep insight to maintenance managers for effectively prioritizing the failure modes. The correct prioritization of failure modes will help in effective maintenance planning, thus reducing the downtime and improving profit to the organization. Practical implications A real case of process plant induction motor has been introduced in the research paper to show the applicability of this decision-making approach, and the approach is found to be suitable in correct prioritization of the failure modes. Originality/value Severity has been decoupled into various factors affecting it, to make it more relevant as per actual industrial scenario. Then, a novel modified FMECA has been developed using a hybrid MCDM approach (AHP and ERVD). This hybrid method, as well as its application in FMECA, has not been developed by any previous researcher. Moreover, the same has been thoroughly explained by considering a real case of process plant induction motors and validated with cross-functional experts. |
| Databáze: | OpenAIRE |
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