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Wyświetlanie 1-3 z 3
Tytuł:
Application of SHERPA to Identify and Prevent Human Errors in Control Units of Petrochemical Industry
Autorzy:
Ghasemi, M.
Nasleseraji, J.
Hoseinabadi, S.
Zare, M.
Powiązania:
https://bibliotekanauki.pl/articles/90724.pdf
Data publikacji:
2013
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
human factors
human error
SHERPA
petrochemical industry
czynnik ludzki
przemysł petrochemiczny
błąd człowieka
Opis:
Introduction. Studying human errors as a risk factor in the occurrence of accidents is necessary. Thus, the aim of this study was to identify, predict and control human errors in industrial control units. Method. This is a case study carried out using SHERPA in the first unit of Zagros Methanol of Asalooyeh, Iran, and its subunits. To collect the required data, various methods were used: observing, interviewing processing specialists and control unit operators, and studying technical documents and records. Results. In total, 222 human errors were identified in various occupational tasks. This study showed that 48.62% of them were action errors, 31.97% were checking errors, 6.75% were retrieval errors, 11.70% were communication errors and 0.90% were selection errors. Conclusion. It can be inferred that this method is appropriate for different industries, and it is useful for identifying human errors leading to hazardous accidents.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2013, 19, 2; 203-209
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Safety and Human Factors Considerations in Control Rooms of Oil and Gas Pipeline Systems: Conceptual Issues and Practical Observations
Autorzy:
Meshkati, N.
Powiązania:
https://bibliotekanauki.pl/articles/91014.pdf
Data publikacji:
2006
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
human factors
pipeline
control centers
automation
human error
accidents
safety
rurociąg
olej Diesla
gaz ziemny
transport rurociągiem
automatyzacja
bezpieczeństwo pracy
wypadki przy pracy
czynnik ludzki
błąd człowieka
Opis:
All oil and gas pipeline systems are run by human operators (called controllers) who use computer-based workstations in control rooms to “control” pipelines. Several human factor elements could contribute to the lack of controller success in preventing or mitigating pipeline accidents/incidents. These elements exist in both the work environment and also in the computer system design/operation (such as data presentation and alarm configuration). Some work environment examples include shift hours, shift length, circadian rhythms, shift change-over processes, fatigue countermeasures, ergonomics factors, workplace distractions, and physical interaction with control system computers. The major objective of this paper is to demonstrate the critical effects of human and organizational factors and also to highlight the role of their interactions with automation (and automated devices) in the safe operation of complex, large-scale pipeline systems. A case study to demonstrate the critical role of human organizational factors in the control room of an oil and gas pipeline system is also presented.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2006, 12, 1; 79-93
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
The Identification of Factors Contributing to Self-Reported Anomalies in Civil Aviation
Autorzy:
Andrzejczak, C.
Karwowski, W.
Thompson, W.
Powiązania:
https://bibliotekanauki.pl/articles/90652.pdf
Data publikacji:
2014
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
self-reported anomalies
civil aviation
human factors
pilot error
text mining
correspondence analysis
czynnik ludzki
lotnictwo cywilne
błąd pilota
analiza tekstu
Opis:
The main objective of this study was to analyze anomalies voluntarily reported by pilots in civil aviation sector and identify factors leading to such anomalies. Experimental data were obtained from the NASA aviation safety reporting system (ASRS) database. These data contained a range of text records spanning 30 years of civilian aviation, both commercial (airline operations) and general aviation (private aircraft). Narrative data as well as categorical data were used. The associations between incident contributing factors and selfreported anomalies were investigated using data mining and correspondence analysis. The results revealed that a broadly defined human factors category and weather conditions were the main contributors to selfreported civil aviation anomalies. New associations between identified factors and reported anomaly conditions were also reported.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2014, 20, 1; 3-18
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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