期刊
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES
卷 69, 期 -, 页码 -出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jlp.2020.104372
关键词
Human error; HEART; Intuitionistic fuzzy set; Furnace start-up
资金
- Hamadan University of Medical Sciences [9910026703]
The paper introduces the use of Intuitionistic Fuzzy (IF) set in predicting human error probability (HEP), establishing the IF-HEART method which has been successfully applied in furnace start-up operation to improve awareness of potential human errors.
To address human error in system reliability, Human Reliability Analysis (HRA) is an essential issue. Human Error Assessment and Reduction Technique (HEART) as a rather straightforward technique for HRA has successfully been used in many areas to predict human error probability (HEP). However, knowledge acquisition of experts during assessed proportion of affect (APOA) calculation is subjected to vagueness and ambiguity. To overcome this challenge, in this paper Intuitionistic Fuzzy (IF) set due to their advantage to represent more fuzzy information than a classical fuzzy set adopted through APOA calculation. To demonstrate this hybrid approach short for, IF-HEART, the furnace start-up operation is handled, since analysis shows that most of explosions and losses occur during furnace start-ups operation. Further, a sensitivity analysis is carried out to approve the proposed integrated approach. In addition to its academic contribution, the results of the paper enable to improve the overall safety level of a furnace by taking into account potential human error.
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