FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4283165087> ?p ?o ?g. }

• W4283165087 endingPage "104823" @default.
• W4283165087 startingPage "104823" @default.
• W4283165087 abstract "This study used a hybrid technique of Fuzzy sets theory (FST), Bayesian network (BN), and Human Factors Analysis and Classification System (HFACS) to investigate a toxic gas leakage accident quantitatively. HFACS is one of the most popular techniques for assessing the contribution of human and organizational factors in industrial accidents. However, the technique is qualitative and unable to prioritize contributing factors. FST and BN are robust and flexible tools to quantify HFACS. The contributing factors were extracted from the interviews with all key persons and later were classified based on the HFACS taxonomy. The BN model was constructed based on HFACS structure and identified contributing factors. FST was used for estimating the effect rate of contributing factors on the accident. The conversion scale six was employed to gather experts’ opinions, the similarity aggregation method was used for aggregating these opinions, and defuzzification was conducted using the center of gravity method. The improvement index was calculated using the dynamic nature of the BN model for all contributing factors. According to the results, conflicts among several units within the organization, poor safety culture, using substandard equipment, lack of proper inspection on newly-purchased equipment, and several safety violations were the most critical factors contributing to the accident. The improvement index is a function of effect rate, structure of the BN, and organizational level within which the failure occurred, so it is superior to the effect rate for prioritizing contributing factors. • A hybrid technique of FST, BN, and HFACS was developed for quantitative analysis of accidents. • A toxic gas release accident was investigated using the technique. • The effect rate of contributing factors on the accident was calculated using FST. • The improvement index was used for ranking contributing factors. • Conflicts among several units within the organization had the highest improvement index." @default.
• W4283165087 created "2022-06-21" @default.
• W4283165087 creator A5008721647 @default.
• W4283165087 creator A5011470763 @default.
• W4283165087 creator A5031778982 @default.
• W4283165087 creator A5050376059 @default.
• W4283165087 creator A5091230365 @default.
• W4283165087 date "2022-08-01" @default.
• W4283165087 modified "2023-09-29" @default.
• W4283165087 title "Human and organizational failures analysis in process industries using FBN-HFACS model: Learning from a toxic gas leakage accident" @default.
• W4283165087 cites W1970742094 @default.
• W4283165087 cites W1986140147 @default.
• W4283165087 cites W1999207031 @default.
• W4283165087 cites W2009248188 @default.
• W4283165087 cites W2018316429 @default.
• W4283165087 cites W2045993027 @default.
• W4283165087 cites W2047428665 @default.
• W4283165087 cites W2054076163 @default.
• W4283165087 cites W2060195638 @default.
• W4283165087 cites W2069619324 @default.
• W4283165087 cites W2072063551 @default.
• W4283165087 cites W2079980958 @default.
• W4283165087 cites W2082340883 @default.
• W4283165087 cites W2084660701 @default.
• W4283165087 cites W2086106991 @default.
• W4283165087 cites W2086668606 @default.
• W4283165087 cites W2090637753 @default.
• W4283165087 cites W2094775127 @default.
• W4283165087 cites W2104880015 @default.
• W4283165087 cites W2119818258 @default.
• W4283165087 cites W2134732423 @default.
• W4283165087 cites W2491027482 @default.
• W4283165087 cites W2621217801 @default.
• W4283165087 cites W2725164837 @default.
• W4283165087 cites W2753016806 @default.
• W4283165087 cites W2765969500 @default.
• W4283165087 cites W2791521580 @default.
• W4283165087 cites W2791889912 @default.
• W4283165087 cites W2801836188 @default.
• W4283165087 cites W2802805021 @default.
• W4283165087 cites W2894627939 @default.
• W4283165087 cites W2902349007 @default.
• W4283165087 cites W2907979025 @default.
• W4283165087 cites W2918369002 @default.
• W4283165087 cites W2972994103 @default.
• W4283165087 cites W2976336752 @default.
• W4283165087 cites W3001001728 @default.
• W4283165087 cites W3022090817 @default.
• W4283165087 cites W3022790475 @default.
• W4283165087 cites W3032982047 @default.
• W4283165087 cites W3046014154 @default.
• W4283165087 cites W3092417523 @default.
• W4283165087 cites W3104251168 @default.
• W4283165087 cites W3112433436 @default.
• W4283165087 cites W3121695680 @default.
• W4283165087 cites W3125502909 @default.
• W4283165087 cites W3210434735 @default.
• W4283165087 cites W4211007335 @default.
• W4283165087 doi "https://doi.org/10.1016/j.jlp.2022.104823" @default.
• W4283165087 hasPublicationYear "2022" @default.
• W4283165087 type Work @default.
• W4283165087 citedByCount "12" @default.
• W4283165087 countsByYear W42831650872022 @default.
• W4283165087 countsByYear W42831650872023 @default.
• W4283165087 crossrefType "journal-article" @default.
• W4283165087 hasAuthorship W4283165087A5008721647 @default.
• W4283165087 hasAuthorship W4283165087A5011470763 @default.
• W4283165087 hasAuthorship W4283165087A5031778982 @default.
• W4283165087 hasAuthorship W4283165087A5050376059 @default.
• W4283165087 hasAuthorship W4283165087A5091230365 @default.
• W4283165087 hasConcept C112930515 @default.
• W4283165087 hasConcept C127413603 @default.
• W4283165087 hasConcept C139719470 @default.
• W4283165087 hasConcept C144133560 @default.
• W4283165087 hasConcept C162324750 @default.
• W4283165087 hasConcept C174998907 @default.
• W4283165087 hasConcept C21547014 @default.
• W4283165087 hasConcept C2777042071 @default.
• W4283165087 hasConcept C77595967 @default.
• W4283165087 hasConcept C80038721 @default.
• W4283165087 hasConceptScore W4283165087C112930515 @default.
• W4283165087 hasConceptScore W4283165087C127413603 @default.
• W4283165087 hasConceptScore W4283165087C139719470 @default.
• W4283165087 hasConceptScore W4283165087C144133560 @default.
• W4283165087 hasConceptScore W4283165087C162324750 @default.
• W4283165087 hasConceptScore W4283165087C174998907 @default.
• W4283165087 hasConceptScore W4283165087C21547014 @default.
• W4283165087 hasConceptScore W4283165087C2777042071 @default.
• W4283165087 hasConceptScore W4283165087C77595967 @default.
• W4283165087 hasConceptScore W4283165087C80038721 @default.
• W4283165087 hasFunder F4320322813 @default.
• W4283165087 hasLocation W42831650871 @default.
• W4283165087 hasOpenAccess W4283165087 @default.
• W4283165087 hasPrimaryLocation W42831650871 @default.
• W4283165087 hasRelatedWork W2029756522 @default.
• W4283165087 hasRelatedWork W2041465721 @default.
• W4283165087 hasRelatedWork W2349308036 @default.
• W4283165087 hasRelatedWork W2357584842 @default.

• next