Fuzzy Logic in HEART and CREAM Methods to Assess Human Error and Find an Optimum Method Using a Hierarchical Fuzzy System: A Case Study in a Steel Factory
Abstract
Numerous studies have been conducted to assess the role of human errors in accidents in different industries. Human reliability analysis (HRA) has drawn a great deal of attention among safety engineers and risk assessment analyzers. Despite all technical advances and the development of processes, damaging and catastrophic accidents still happen in many industries. Human Error Assessment and Reduction Technique (HEART) and Cognitive Reliability and Error Analysis Method (CREAM) methods were compared with the hierarchical fuzzy system in a steel industry to investigate the human error. This study was carried out in a rolling unit of the steel industry, which has four control rooms, three shifts, and a total of 46 technicians and operators. After observing the work process, reviewing the documents, and interviewing each of the operators, the worksheets of each research method were completed. CREAM and HEART methods were defined in the hierarchical fuzzy system and the necessary rules were analyzed. The findings of the study indicated that CREAM was more successful than HEART in showing a better capability to capture task interactions and dependencies as well as logical estimation of the HEP in the plant studied. Given the nature of the tasks in the studied plant and interactions and dependencies among tasks, it seems that CREAM is a better method in comparison with the HEART method to identify errors and calculate the HEP.
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25. Liu H-T, Tsai Y-l. A fuzzy risk assessment approach for occupational hazards in the construction industry. Saf Sci. 2012; 50(4):1067-1078.
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27. Williams JC. HEART - a proposed method for assessing and reducing human error. Ninth Advances in Reliability Technology Symposium, NEC. 1986.
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33. Jelleli TM, Alimi AM. Automatic design of a least complicated hierarchical fuzzy system. 6th IEEE World Congress on Computational Intelligence. 2010.
34. Lee M-L, Chung H-Y, Yu F-M. Modeling of hierarchical fuzzy systems. Fuzzy Set Syst. 2003; 138(2):343-361.
35. Zaidi A, Rokbani N, Alimi A. Implementation of a Hierarchical fuzzy controller for a biped robot. arXiv preprint arXiv:14128500. 2014.
36. Fayaz M, Ullah I, Kim D-H. Underground risk index assessment and prediction using a simplified hierarchical fuzzy logic model and kalman filter. Process. 2018; 6(8):103.
2. Konstandinidou M, Nivolianitou Z, Kiranoudis C, Markatos N. A fuzzy modeling application of CREAM methodology for human reliability analysis. Reliab Eng Syst Saf. 2006; 91(6):706-716.
3. Embrey D E, Kontogiannis T, Green M. Guidelines for Preventing Human Error in Process Safety. Center for Chemical Process Safety, American Institute of Chemical Engineers, New York. 1994.
4. Peters GA, Peters BJ. Human error: Causes and control. 1 st ed. CRC press, Boca Riton, USA 2006.
5. Stojiljkovic E. Methodological Framework for Human Error Assessment, Ph.D. Dissertation. University of Nis, Faculty of Occupational Safety, 2011.
6. Griffith CD, Mahadevan S. Inclusion of fatigue effects in human reliability analysis. Reliab Eng Syst Saf. 2011; 96(11):1437-1447.
7. Hollnagel E. Cognitive reliability and error analysis method (CREAM). 1 st ed. Elsevier Science, Oxford, England; 1998.
8. Stojiljkovic E, Bijelic B, Cvetkovic M. Application of HEART technique for human reliability assessment–a Serbian experience. Facta Uni, Series: Working and Living Environmental Protection Vol. 14, No 3, 2017:187-196.
9. Swain AD. Accident sequence evaluation program: Human reliability analysis procedure. Sandia National Labs. Nuclear Regulatory Commission, Albuquerque, NM, USA, 1987.
10. Williams J. Toward an improved evaluation analysis tool for users of HEART. International Conference on Hazard Identification and Risk Analysis, Human Factors and Human Reliability in Process Safety. Orlando, February, Chemical Centre for Process Studies (CCPS); 1992.
11. Kim MC, Seong PH, Hollnagel E. A probabilistic approach for determining the control mode in CREAM. Reliab Eng Syst Saf. 2006; 91(2):191-199.
12. Jung WD, Yoon WC, Kim J. Structured information analysis for human reliability analysis of emergency tasks in nuclear power plants. Reliab Eng Syst Saf. 2001; 71(1):21-32.
13. Mosleh A, Chang Y. Model-based human reliability analysis: prospects and requirements. Reliab Eng Syst Saf. 2004; 83(2):241-253.
14. Kirwan B. Human Reliability Assessment. Encyclopedia of Quantitative Risk Analysis and Assessment. 2008.
15. Kirwan B, Gibson H, Kennedy R, Edmunds J, Cooksley G, Umbers I. Nuclear action reliability assessment (NARA): a data-based HRA tool. Probabil Saf Assess Manage. 2004: 164-169.
16. Gibson W, Mills A, Smith S, Kirwan B. Railway action reliability assessment, a railway specific approach to human error quantification. Rail Human Factors. Supporting reliability, safety and cost reduction. Taylor & Francis; 2012; 671-676.
17. Akyuz E, Celik M, Cebi S. A phase of comprehensive research to determine marine-specific EPC values in human error assessment and reduction technique. Saf Sci. 2016; 87:63-75.
18. Bowo LP, Furusho M. Human Error Assessment and Reduction Technique for Reducing the Number of Marine Accidents in Indonesia. Appl Mech Mater. 2018; 874: 199-206.
19. Casamirra M, Castiglia F, Giardina M, Tomarchio E. Fuzzy modelling of HEART methodology: application in safety analyses of accidental exposure in irradiation plants. Radiat Eff Defect Solid. 2009; 164(5-6):291-296.
20. Kumar AM, Rajakarunakaran S, Prabhu VA. Application of Fuzzy HEART and expert elicitation for quantifying human error probabilities in LPG refuelling station. J Loss Prev Process Ind 2017; 48:186-198.
21. Wu B, Yan X, Wang Y, Soares CG. An evidential reasoning‐based CREAM to human reliability analysis in maritime accident process. Risk Anal. 2017; 37(10):1936-1957.
22. Maddah S, Ghasemi M. Estimating the human error probability using the fuzzy logic approach of CREAM (The case of a control room in a petrochemical industry). Researcher.2015:0-100.
23. Shirali GA, Hosseinzadeh T, Kalhori SRN. Modifying a method for human reliability assessment based on CREAM-BN: A case study in control room of a petrochemical plant. MethodsX. 2019; 6:300-315.
24. Shokria S. A Cognitive Human Error Analysis with CREAM in Control Room of Petrochemical Industry. Biotechnol Health Sci. 2017(1):13-21.
25. Liu H-T, Tsai Y-l. A fuzzy risk assessment approach for occupational hazards in the construction industry. Saf Sci. 2012; 50(4):1067-1078.
26. Marseguerra M, Zio E, Librizzi M. Quantitative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance. Ann Nucl Energ. 2006; 33(10):894-910.
27. Williams JC. HEART - a proposed method for assessing and reducing human error. Ninth Advances in Reliability Technology Symposium, NEC. 1986.
28. Rashed CSK. The concept of human reliability assessment tool CREAM and its suitability for shipboard operations safety. J Shipp Ocean Eng. 2016; 6:348-355.
29. Zadeh LA. Fuzzy sets. Fuzzy sets, fuzzy logic, and fuzzy systems: selected papers by Lotfi A Zadeh: World Sci. 1996: 394-432.
30. Birgani YT, Yazdandoost F. Resilience in urban drainage risk management systems. Water Manag. 2016:169(1): 3-16.
31. Mamdani E, Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. Int J Hum Comput Stud. 1999; 51(2):135-147.
32. Islam N, Sadiq R, Rodriguez MJ, Francisque A. Evaluation of source water protection strategies: a fuzzy-based model. J Environ Manag. 2013; 121:191-201.
33. Jelleli TM, Alimi AM. Automatic design of a least complicated hierarchical fuzzy system. 6th IEEE World Congress on Computational Intelligence. 2010.
34. Lee M-L, Chung H-Y, Yu F-M. Modeling of hierarchical fuzzy systems. Fuzzy Set Syst. 2003; 138(2):343-361.
35. Zaidi A, Rokbani N, Alimi A. Implementation of a Hierarchical fuzzy controller for a biped robot. arXiv preprint arXiv:14128500. 2014.
36. Fayaz M, Ullah I, Kim D-H. Underground risk index assessment and prediction using a simplified hierarchical fuzzy logic model and kalman filter. Process. 2018; 6(8):103.
| Files | ||
| Issue | Vol 13 No 2 (2021) | |
| Section | Original Article(s) | |
| Published | 2021-06-30 | |
| DOI | https://doi.org/10.18502/ijoh.v13i2.8372 | |
| Keywords | ||
| HEART Method CREAM Method Steel Factory | ||
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |
How to Cite
1.
Boroun R, Tahmasbi Birgani Y, Mosavianasl Z, Shirali GA. Fuzzy Logic in HEART and CREAM Methods to Assess Human Error and Find an Optimum Method Using a Hierarchical Fuzzy System: A Case Study in a Steel Factory. Int J Occup Hyg. 2021;13(2):105-119.
