Fuzzy TOPSIS in the assessment of OHS management system

• Autorzy: Tabor Joanna

Identyfikatory

DOI

10.2478/czoto-2019-0003

• Konferencja: 7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
• Języki publikacji: EN

Abstrakty

EN

Occupational health and safety (OHS) management is a cycle of decision-making processes, many of which are in fact multi-criterion processes in nature. Therefore, it is important to look for and develop tools to support decision-makers in their actions aimed at improving work safety levels. The objective of this paper is to propose and verify the fuzzy TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) method applied to compare and assess the ways OHS management systems function in different companies. The fuzzy TOPSIS method has already been used for a number of years in assessments of alternative solutions in many different areas, but the application that uses ordered fuzzy numbers is quite original in nature. It is especially beneficial to use the fuzzy approach in OHS management systems, as it makes it possible for experts to assess different criteria using most frequently used linguistic variables. The adopted approach was verified in the study of OHS management systems in four furniture manufacturing companies. Assessment criteria were requirements of the PN-N 18001:2004 Standard. Thanks to the ordered fuzzy TOPSIS method, the analysed OHS management systems were streamlined from the point of view of 24 assessment criteria, and the best and the worst functioning system was identified. The approach presented here may constitute a significant tool for improving OHS management systems.

Słowa kluczowe

EN

management system; OHS; enterprise; MCDM; fuzzy TOPSIS

PL

system zarządzania; BHP; przedsiębiorstwo; MCDM; rozmyta metoda TOPSIS

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2019
• Tom: Vol. 1, nr 1
• Strony: 18--25
• Opis fizyczny: Bibliogr. 15 poz., tab.

Twórcy

autor

Tabor Joanna

• Czestochowa University of Technology, Poland

Bibliografia

• [1] Alteren, B., 1999. Implementation and evaluation of the Safety Element Method at four mining sites, Safety Science, 31(3), 231-264, DOI: 10.1016/S0925-7535(98)00069-1
• [2] Cambon, J., Guarnieri, F., Groeneweg, J., 2006. Towards a new tool for measuring safety management system performance, [In:] E. Rigaud, E. Hollnagel (Eds.) Proceeding of the Second Resilience Engineering Symposium, Less Press, Paris, France, 53-62.
• [3] Chen, C.-F., Chen, S.-F., 2012. Scale development of safety management system evaluation for the airline industry, Accident Analysis & Prevention, 47, 177-181, DOI: 10.1016/j.aap.2012.01.012
• [4] Chen, S. J., Hwang, C. L., 1992. Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer, Berlin.
• [5] EU-OSHA, 2011. Occupational Safety and Health Culture Assessment - A Review of Main Approaches and Selected Tools, Bilbao, Spain.
• [6] Fernández-Muñiz, B., Montes-Peón, J. M., Vázquez-Ordás, C. J., 2009. Relation between occupational safety management and firm performance, Safety Science, 47, 980-991, DOI: 10.1016/j.ssci.2008.10.022
• [7] Holubová, V., 2016. Integrated Safety Management Systems, Polish Journal of Management Studies, 14(1), DOI: 10.17512/pjms.2016.14.1.10
• [8] Hwang, C. L., Yoon, K., 1981. Multiple Attribute Decision Making. Methods and Applications, Springer, Berlin Heidelberg.
• [9] ILO, 2013. Audit Matrix for the ILO Guidelines on Occupational Safety and Health Management Systems (ILO-OSH 2001), ILO, Switzerland 2013, 115-116.
• [10] Kosiński, W., Prokopowicz, P., Ślęzak, D., 2003. Ordered fuzzy numbers, Bulletin of the Polish Academy of Sciences Mathematic, 52(3), 327-339.
• [11] Nja, O., Fjelltun, S.H., 2010. Managers’ attitudes towards safety measures in the commercial transport sector, Safety Science, 48, 1073-1080, DOI: 10.1016/j.ssci.2010.02.005
• [12] Redinger, C. F., Levine, S. P., 1998. Development and evaluation of the Michigan occupational health and safety management system assessment instrument: a universal OHSMS performance management tool, American Industrial Hygiene Association Journal, 59(8), 572-581, DOI: 10.1080/15428119891010758
• [13] Roy, M., Desmarais, L., Cadieux, J., 2005. Ameliorer la performance en SST: les resultats vs les predicteurs, Perspectives interdisciplinaires sur le travail et la sante, 7(2), [http://pistes.uqam.ca/v7n2/articles/v7n2a10.htm].
• [14] Vinodkumar, M.N., Bhasi, M., 2010. Safety management practices and safety behaviour: assessing the mediating role of safety knowledge and motivation, Accident Analysis & Prevention, 42, 2082-2093, DOI: 10.1016/j.aap.2010.06.021
• [15] Yingming, W., 1997. Using the method of maximizing deviation to make decision for multi-indices, Journal of Systems Engineering and Electronics, 8(7), 21-26.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).