A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry
Само за регистроване кориснике
2012
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia.
Кључне речи:
uncertainty / risk assessment / occupational safety / fuzzy setsИзвор:
International Journal of Occupational Safety and Ergonomics, 2012, 18, 2, 115-126Издавач:
- Taylor & Francis Ltd, Abingdon
DOI: 10.1080/10803548.2012.11076922
ISSN: 1080-3548
PubMed: 22721531
WoS: 000306090200001
Scopus: 2-s2.0-84864466699
Колекције
Институција/група
Mašinski fakultetTY - JOUR AU - Tadić, Danijela AU - Djapan, Marko AU - Misita, Mirjana AU - Stefanović, Miladin AU - Milanović, Dragan PY - 2012 UR - https://machinery.mas.bg.ac.rs/handle/123456789/1354 AB - Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia. PB - Taylor & Francis Ltd, Abingdon T2 - International Journal of Occupational Safety and Ergonomics T1 - A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry EP - 126 IS - 2 SP - 115 VL - 18 DO - 10.1080/10803548.2012.11076922 ER -
@article{ author = "Tadić, Danijela and Djapan, Marko and Misita, Mirjana and Stefanović, Miladin and Milanović, Dragan", year = "2012", abstract = "Managing occupational safety in any kind of industry, especially in processing, is very important and complex. This paper develops a new method for occupational risk assessment in the presence of uncertainties. Uncertain values of hazardous factors and consequence frequencies are described with linguistic expressions defined by a safety management team. They are modeled with fuzzy sets. Consequence severities depend on current hazardous factors, and their values are calculated with the proposed procedure. The proposed model is tested with real-life data from fruit processing firms in Central Serbia.", publisher = "Taylor & Francis Ltd, Abingdon", journal = "International Journal of Occupational Safety and Ergonomics", title = "A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry", pages = "126-115", number = "2", volume = "18", doi = "10.1080/10803548.2012.11076922" }
Tadić, D., Djapan, M., Misita, M., Stefanović, M.,& Milanović, D.. (2012). A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry. in International Journal of Occupational Safety and Ergonomics Taylor & Francis Ltd, Abingdon., 18(2), 115-126. https://doi.org/10.1080/10803548.2012.11076922
Tadić D, Djapan M, Misita M, Stefanović M, Milanović D. A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry. in International Journal of Occupational Safety and Ergonomics. 2012;18(2):115-126. doi:10.1080/10803548.2012.11076922 .
Tadić, Danijela, Djapan, Marko, Misita, Mirjana, Stefanović, Miladin, Milanović, Dragan, "A Fuzzy Model for Assessing Risk of Occupational Safety in the Processing Industry" in International Journal of Occupational Safety and Ergonomics, 18, no. 2 (2012):115-126, https://doi.org/10.1080/10803548.2012.11076922 . .