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A grey-based decision-making approach to the improvement of OHS management system

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Warianty tytułu
PL
Podejście do doskonalenia systemu zarządzania bhp oparte na podejmowaniu szarych decyzji
Języki publikacji
EN
Abstrakty
EN
The objective of this paper is to present and verify the approach, using which it is possible to rank management system elements according to the decision-making criteria adopted by decision-makers, in order to reduce incoherence levels within the frameworks of the decision-making process concerning targeting of the system improvement measures. This approach makes use of the grey systems concept and properties of grey numbers. The following three cost-based parameters were used as assessment criteria of the particular elements of the system in terms of improvements: meeting requirements, performance costs, and performance time. This approach was verified in a furniture manufacturing company, based upon the work health and safety management system according to PN-N 18001, which was in place in this company. By using the proposed approach, it was possible to rank all the assessed elements of the system, and to identify those elements that could be improved in the first sequence, taking into account the adopted assessment criteria. This paper makes up for shortages in using the grey system theory to improve work health and safety management systems, and constitutes an original application of this concept in the area of work health and safety management systems. The approach presented herein may constitute a significant tool of improving not only health and safety management systems, but also other management systems as well.
PL
Celem artykułu jest przedstawienie i zweryfikowanie podejścia za pomocą, którego można uporządkować elementy systemu zarządzania według przyjętych przez decydentów kryteriów decyzyjnych, co pozwoli na zmniejszenie niespójności w ramach podejmowania decyzji o ukierunkowaniu działań doskonalących system. W podejściu wykorzystano koncepcję szarych systemów oraz właściwości szarych liczb. Jako kryteria oceny, poszczególnych elementów systemu pod kątem doskonalenia, wykorzystano trzy parametry o charakterze kosztowym: spełnienie wymagań, koszty realizacji oraz czas realizacji. Podejście zostało zweryfikowane w firmie z branży produkcji mebli, na bazie funkcjonującego w tym przedsiębiorstwie systemu zarządzania bhp wg PN-N 18001. Wykorzystanie zaproponowanego podejścia umożliwiło uszeregowanie wszystkich elementów ocenianego systemu oraz zidentyfikowanie tych, które można udoskonalić w pierwszej kolejności, uwzględniając przyjęte kryteria oceny. Niniejszy artykuł uzupełnia braki w zakresie wykorzystania teorii szarych systemów do doskonalenia systemów zarządzania bhp i stanowi oryginalne zastosowanie tej koncepcji w ramach zarządzania bezpieczeństwem i higieną pracy. Zaprezentowane podejście może stanowić istotne narzędzie w ramach doskonalenia systemów zarządzania, nie tylko dedykowanych bhp.
Rocznik
Strony
389--402
Opis fizyczny
Bibliogr. 34 poz., tab.
Twórcy
autor
  • Czestochova University of Technology, Faculty of Management, Poland
Bibliografia
  • 1. Alteren B., 1999, Implementation and evaluation of the Safety Element Method at four mining sites, “Safety Science”, 31(3).
  • 2. Behzadian M., Kazemzadeh R.B., Albadvi A., Aghdasi M., 2010, PROMETHEE: a comprehensive literature review on methodologies and applications, “European Journal of Operational Research”, 200.
  • 3. Behzadian M., Khanmohammadi Otaghsara S., Yazdani M., Ignatius J., 2012, A state- of the-art survey of TOPSIS applications, “Expert Systems with Applications”, 39.
  • 4. Cadieux J., Desmarais L., 2006, A preliminary validation of a new measure of occupational health and safety, “Journal of Safety Research”, 37(4).
  • 5. 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, 8-10 November, 2006, France, Paris, Less Press.
  • 6. CEN, 2009, EN-ISO 9004:2009 Managing for the sustained success of an organization - A quality management approach, CEN.
  • 7. Chen C.-F., Chen S.-F., 2012, Scale development of safety management system evaluation for the airline industry, “Accident Analysis & Prevention”, 47.
  • 8. Chen S.J., Hwang C.L., 1992, Fuzzy Multiple Attribute Decision Making: Methods and Applications, Springer, Berlin.
  • 9. Denton D., Safety management: Improving Performance, McGraw-Hill, New York, USA, 1982.
  • 10. EU-OSHA, 2011, Occupational Safety and Health Culture Assessment - A Review of Main Approaches and Selected Tools, Bilbao, Spain.
  • 11. Fernández-Muñiz B., Montes-Peón J.M., Vázquez-Ordás C.J., 2009, Relation between occupational safety management and firm performance, “Safety Science”, 47.
  • 12. Figueira J., Roy B., 2002, Determining the weights of criteria in the ELECTRE type methods with a revised Simos’ procedure, “European Journal Operational Research”, 139.
  • 13. Fontana M.E., Morais D.C., Almeida A.T., 2011, A MCDM model for urban water conservation strategies adapting Simos procedure for evaluating alternatives intra-criteria, “Lecture Notes in Computer Science”, 6579.
  • 14. Govindan K., Jepsen M.B., 2016, ELECTRE: a comprehensive literature review on methodologies and applications, European Journal of Operational Research”, 250.
  • 15. Granerud R.L., Rocha R.S., 2011, Organizational learning and continuous improvement of health and safety in certified manufacturers, “Safety Science”, 49.
  • 16. Holubová V., 2016, Integrated Safety Management Systems, “Polish Journal of Management Studies”, 14(1).
  • 17. Hwang C.L., Yoon K., 1981, Multiple Attribute Decision Making. Methods and Applications, Springer, Berlin Heidelberg.
  • 18. ILO, 2013, Audit Matrix for the ILO Guidelines on Occupational Safety and Health Management Systems (ILO-OSH 2001), International Labour Organization, International Labour Office, Switzerland.
  • 19. Klimecka-Tatar D., Niciejewska M., 2016, The OHS management system in the small-sized production company, “Production Engineering Archives”, 13(4).
  • 20. Law W.K., Chan A.H.S., Pun K.F., 2006, Prioritizing the safety management elements, “Industrial Management and Data Systems”, 106(6).
  • 21. Liu S., Yang Y., Forrest J., 2016, Grey Data Analysis, Method, Models and Applications, Springer-Verlag.
  • 22. Mardani A., Zavadskas E.K., Govindan K., Senin A.A., Jusoh A., 2016, VIKOR technique: a systematic review of the state of the art literature on methodologies and applications, “Sustainability”, 8.
  • 23. Marzouk M., Amer O., El-Said M., 2013, Feasibility study of industrial projects using Simos’ procedure, “Journal Civil Engineering Management”, 19(1).
  • 24. Nja O., Fjelltun S.H., 2010, Managers’ attitudes towards safety measures in the commercial transport sector, “Safety Science”, 48.
  • 25. Oláh J., Sadaf R., Máté D., Popp J., 2018, The influence of the management success factors of logistics service providers on firms’ competitiveness, “Polish Journal of Management Studies”, 17(1).
  • 26. 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).
  • 27. Roy M., Desmarais L., Cadieu 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].
  • 28. Shanian A., Milan A.S., Carson C., Abeyaratne R.C., 2008, A new application of ELECTRE III and revised Simos’ procedure for group material selection under weighting uncertainty, “Knowledge Based Systems”, 21.
  • 29. Siskos S., Tsotsolas N., 2015, Elicitation of criteria importance weights through the Simos method: a robustness concern, “European Journal of Operation Research”, 246.
  • 30. Tzeng G.H., Huang J.J., 2011, Multiple Attribute Decision Making: Methods and Applications, CRC Press.
  • 31. 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.
  • 32. Wang Y.M., 1998, Using the method of maximizing deviation to make decision for multi-indices, “Journal of Systems Engineering and Electronics”, 7.
  • 33. Zanakis S., Solomon A., Wishart N., Dublish S., 1998, Multi-attribute decision making: a simulation comparison of select methods, “European Journal”.
  • 34. Zavadskas E.K., Turskis Z., 2011, Multiple criteria decision making (MCDM) methods in economics: an overview, “Technological and Economic Development of Economy”, 17.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a6a52274-9855-49cc-a6a6-639dba4a3e7a
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