Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Traditional safety and health system measurement procedures, practiced in various industries produce qualitative results with a degree of uncertainty. This paper presents a fuzzy-logic-based approach to developing a fuzzy model for assessing the safety and health status in the tea industry. For this, the overall safety and health status at a tea estate has been considered as a function of 4 inputs: occupational safety, occupational health, behavioral safety and competency. A set of fuzzy rules based on expert human judgment has been used to correlate different fuzzy inputs and output. Fuzzy set operations are used to calculate the safety and health status of the tea industry. Application of the developed model at a tea estate showed that the safety and health status belongs to the fuzzy class of good with a crisp value of 7.2.
Słowa kluczowe
Wydawca
Rocznik
Tom
Strony
613--621
Opis fizyczny
Bibliogr. 14 poz., rys., tab.
Twórcy
autor
- Department of Mechanical Engineering, National Institute of Technology, Silchar, Assam, India
autor
- Department of Mechanical Engineering, National Institute of Technology, Silchar, Assam, India
Bibliografia
- 1.Dey SK, Gupta R. Integration of safety and productivity in the tea industries of Assam—an overview. Industrial Safety Chronicle. 2010;XLI(July–Sept):86–8.
- 2.Sii HS, Ruxton T, Wang J. A fuzzy-logicbased approach to qualitative safety modelling for marine systems. Reliability Engineering & System Safety. 2001;73(1):19–34.
- 3.Wang J, Yang JB, Sen P. Safety analysis and synthesis using fuzzy sets and evidential reasoning. Reliability Engineering & System Safety. 1995;47(2):103–18.
- 4.Howard A, Seraji H. A fuzzy rule based safety index for landing site risk assessment. In: Automation Congress, 2002 Proceedings of the 5th Biannual World. Vol. 14. 2002. p. 579–84.
- 5.Directive 1999/92/EC of the European Parliament and of the Council of 16 December 1999 on minimum requirements for improving the safety and health protection of workers potentially at risk from explosive atmospheres. OJ. 2000;L23:57–64. Retrieved August 7, 2013, from: http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2000:023:0057:0064:en:PDF.
- 6.Markowski AS, Mannan MS, Kotynia A, Pawlak H. Fuzzy logic application to explosion risk assessment. Application of fuzzy logic to explosion risk assessment. Journal of Loss Prevention in the Process Industries. 2011;24(6):780–90.
- 7.Hayward G, Davidson V. Fuzzy logic applications. Analyst. 2003;128(11):1304–6.
- 8.Mahant N. Risk assessment is fuzzy business—fuzzy logic provides the way to assess off-site risk from industrial installations (Behtel technical paper). 2004. Retrieved August 7, 2013, from: http://www.bechtel.com/assets/files/PDF/BIP/34936.pdf.
- 9.Oka SA, Johnson AO, Popoola IO, Charles-Owaba OE, Oyawale FA. Application of fuzzy logic concept to profitability quantification in plastic recycling. Pacific Journal of Science and Technology. 2006;7(2):163–75. Retrieved August 7, 2013, from: http://www.akamaiuniversity.us/PJST7_2_163.pdf.
- 10.Evans GW, Karwowski W, Wilhelm MR, editors. Applications of fuzzy set methodologies in industrial engineering. Amsterdam, The Netherlands: Elsevier Science; 1989.
- 11.Karwowski W, Mital A. Potential applications of fuzzy sets in industrial safety engineering. Fuzzy sets and systems. 1986;19(2):105–20.
- 12.Karwowski W, Mital A, editors. Applications of fuzzy set theory in human factors. Amsterdam, The Netherlands: Elsevier Science; 1986.
- 13.Karwowski W. The human world of fuzziness, human entropy and general fuzzy systems theory. Journal of Japan Society for Fuzzy Theory and Systems. 1992;4(5):825–841. Retrieved August 7, 2013, from: http://ci.nii.ac.jp/els/110002940007.pdf?id=ART0003292606&type=pdf&lang=en&host=cinii&order_no=&ppv_type=0&lang_sw=&no=1379404556&cp=.
- 14.Grobelny J, Karwowski W, Zurda J. Application of fuzzy-based linguistic patterns for the assessment of computer screen design quality. Int J Hum Comput Interact. 1995;7(3):193–212.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-457c706a-d055-4cea-a5ee-ba7236749f5c