Evidence map›Paper›PMID 35384537›Full record

ArticleEnvironmental science and pollution research international2022

Control measure prioritization in Fine - Kinney-based risk assessment: a Bayesian BWM-Fuzzy VIKOR combined approach in an oil station.

Muhammet Gul, Melih Yucesan, Muhammet Fatih Ak

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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5 citing papers in PubMed.

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5 · Who and what money

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3 authors.

Muhammet GulDepartment of Emergency Aid and Disaster Management, Munzur University, 62000, Tunceli, Turkey. muhammetgul@munzur.edu.tr.ORCID http://orcid.org/0000-0002-5319-4289
Melih YucesanDepartment of Emergency Aid and Disaster Management, Munzur University, 62000, Tunceli, Turkey.
Muhammet Fatih AkDepartment of Industrial Engineering, Antalya Bilim University, 07190, Antalya, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Fine - Kinney is a risk assessment method widely used in many industries due to its ease of use and quantitative risk evaluation. As in other methods, it is a method that recommends taking a series of control measures for operational safety. However, it is not always possible to implement control measures based on the determined priorities of the risks. It is considered that determining the priorities of these measures depends on many criteria such as applicability, functionality, performance, and integrity. Therefore, this study has studied the prioritization of control measures in Fine - Kinney-based risk assessment. The criteria affecting the prioritization of control measures are hierarchically structured, and the importance weights of the criteria are determined by the Bayesian Best-Worst Method (BBWM). The priorities of control measures were determined with the fuzzy VlseKriterijumska Optimizacija I Kompromisno Resenje (FVIKOR) method. The proposed model has been applied to the risk assessment process in a petrol station's liquid fuel tank area. According to the results obtained with BBWM, the most important criterion affecting the prioritization of control measures is the applicability criterion. It has an importance weight of about 42%. It is followed by performance with 31%, functionality with 18%, and integrity with 10%, respectively. FVIKOR results show that the "Periodic control of the ventilation device" measure is the top priority for Fine - Kinney risk assessment. "The absence of any ducts or sewer pits that may cause gas accumulation in the tank area and near the dispenser; Yellow line marking of entry and exit and vehicle roads; Placing of speed limit warning signs" has been determined as a secondary priority. On conclusion, this proposed model is expected to bring a new perspective to the work of occupational health and safety analysts, since the priority suggested by Fine - Kinney risk analysis methods is not always in the same order as the one in the stage of taking action, and the source, budget, and cost/benefit ratio of the measure affect this situation in practice.

Indexed as

Occupational HealthBayes TheoremRisk AssessmentBayesian Best–Worst MethodControl measure prioritizationFine − KinneyFuzzy set theoryLiquid fuel tankVIKOR

Identifiers

PMID35384537
PMCPMC8984078

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.