Action Selection Based on Fuzzy AHP-Based TOPSIS Method in Fuzzy FMEA-Based Risk Assessment: A Case Study
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Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Today, risk assessment has become one of the most important applications of companies in the field of occupational health and safety. Many risk assessment types in the literature are applied by companies, and the objectivity of the results is very important in terms of worker, employer and environmental health. The aim of this study is to propose an objective risk assessment method and to prioritize the actions that can be taken as a result of the assessment. Hence, in this study, the hazards and the risks associated with those hazards that may arise in the production facility of a medium-sized company were determined as a first step. Then, these hazards were evaluated by the Fuzzy-Failure Mode and Effect Analysis (FMEA) method. As a result of the evaluation, alternative action plans for each hazard were determined together with the company team to eliminate the hazards in the highest risk group or minimize their damages. Since it is practically impossible for companies to take all the actions at the same time due to time, cost and labor constraints, the next part of the study includes which of the alternative actions should be applied to the hazards in the highest risk group. A Fuzzy AHP-based TOPSIS method was applied to prioritize actions. Thus, the actions to be taken against the hazards in the highest risk group were attempted to be chosen most appropriately with an objective approach. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Açıklama
International Conference on Intelligent and Fuzzy Systems, INFUS 2022 -- 19 July 2022 through 21 July 2022 -- Izmir -- 280209
Anahtar Kelimeler
Action selection, Fuzzy AHP, Fuzzy FMEA, Risk assessment, TOPSIS
Kaynak
Lecture Notes in Networks and Systems
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
504 LNNS