Influence of HOT factors on risk assessment level based on fuzzy set theory

Chemical Engineering Transactions

Volumn 43, Issue , 2015, Pages 1231-1236

  Djapan, Marko ^a,b   Macuzic, Ivan ^b   Tadic, Danijela ^b   Jeremic, Branislav ^b  

^a POLITECNICO DI TORINO   (Italy)

^b UNIVERSITY OF KRAGUJEVAC   (Serbia)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SET THEORY; FUZZY SETS; HEALTH RISKS; INDUSTRIAL HYGIENE; SET THEORY; UNCERTAINTY ANALYSIS;

ASSESSMENT LEVEL; ASSESSMENT PROCESS; HIERARCHICAL STRUCTURES; LINGUISTIC EXPRESSIONS; OCCUPATIONAL HEALTH AND SAFETY; PRODUCTION COMPANIES; QUANTITATIVE RISK ASSESSMENT; RISK ASSESSMENT MODELS;

RISK ASSESSMENT;

EID: 84946079850     PISSN: None     EISSN: 22839216     Source Type: Journal    
DOI: 10.3303/CET1543206     Document Type: Article

References (23)

1. Arunraj N., Maiti J., 2007, Risk-based maintenance: techniques and applications, J. Hazard. Mater., 142, 653-661.
2. Aven T., 2011, On the new ISO guide on risk management terminology, Reliab. Eng. Syst. Safe, 96, 719-726.
3. Bischoff H.J., 2008, Risk Profiles in Modern Work Life, Risks in Modern Society - Topics in Safety, Risk, Reliability and Quality, Eds. Bischoff H.J., Springer, Dordrecht, the Netherlands.
4. Chang D.Y., 1996, Applications of the extent analysis method on fuzzy AHP, Eur. J. Oper. Res., 95, 649-655.
5. Demichela M., Camuncoli G., 2014. Risk based decision making. Discussion on two methodological milestones. Journal of Loss Prevention in the Process Industries, 28 (1), 101-108.
6. Demichela M., Pirani R., Leva M.C. 2014. Human factor analysis embedded in risk assessment of industrial machines: Effects on the safety integrity level International Journal of Performability Engineering, 10 (5), 487-496.
7. EASHW (European Agency for Safety and Health at Work). 2007, Risk assessment essentials, https://osha.europa.eu/en/publications/promotional-material/rat2007 (accessed 11 November 2014).
8. ICAO (International Civil Aviation Organization), 2012, Safety Management Manual (SMM) Doc 9859 AN/474 - 3rd ed. Montréal, Canada.
9. ISO (International Organization for Standardization), 2009, ISO/IEC 31010 International Standard, Risk management - Risk assessment techniques.
10. Djapan M., Tadic D., Macuzic I., Jeremic B., Giagloglou E., 2013, A new model for evaluation of safety grade of indicators based on a fuzzy logic, Chemical Engineering Transactions, 33, 463-468.
11. Kahraman C., 2009, Introduction: Fuzzy theory and technology, J. Mult. Valued. Log. S., 15, 103-105.
12. Leitch M., 2010, ISO 31000:2009 - The New International Standard on Risk Management, Risk Anal, 30, 887-892.
13. Lootsma F.A., 1997, Fuzzy Logic for Planning and Decision-making, Kluwer Academic, Boston, MA, USA.
14. Marhavilas P.K., Koulouriotis D., Gemeni V., 2011, Risk analysis and assessment methodologies in the work sites: On a review, classification and comparative study of the scientific literature of the period 2000 - 2009, ?. Loss Prevent. Proc., 24, 477-523
15. McDonald D., 2004, Practical Machinery Safety, Elsevier, UK.
16. Monferini A., Konstandinidou M., Nivolianitou Z., Weber S., Kontogiannis T., Kafka P., Kay A.M., Leva M.C., Demichela M. 2013. A compound methodology to assess the impact of human and organizational factors impact on the risk level of hazardous industrial plants. Reliability Engineering and System Safety, 119, 280-289.
17. Reid S.G., 1992, Acceptable risk, 1992, Engineering Safety, Ed. Blockley D.I., New York: McGraw-Hill.
18. Renn O., 1999, Three decades of risk research: accomplishments and new challenges, J. Risk Res., 1, 49-71.
19. Sawacha E., Naoum, S., Fong, D., 1999, Factors affecting safety performance on construction sites, Int. J. Proj. Manag. 17, 309-315.
20. Stirling A.,1998, Risk a taturning point, J. Risk Res., 1, 97-109.
21. Tixier J., Dusserre G., Salvi O., Gaston D., 2002, Review of 62 risk analysis methodologies of industrial plants, J. Loss Prevent. Proc. 15, 291-303.
22. Todorović P.M., Gordić D.R., Babić M., Jeremić B.M., Demichela M., Mačužić I.D., 2014, An implementation of infrared thermography in maintenance plans within a world class manufacturing strategy, Therm Sci. 17, 977-987.
23. Zimmermann H.J., 2001, Fuzzy Set Theory and its Applications, Kluwer Nijhoff Publishing, Boston.