Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The maintenance system is a key system that provides continuity and safety of the operation of production systems and that affects the safety of people working in these systems. At the same time, the maintenance system is a set of work processes carried out by people under specific environmental conditions, using specific equipment and within a specific organizational and management structure. The purpose of this article is to identify the main management factors that affect occupational safety and to rank these factors in terms of their effectiveness in ensuring safe maintenance, using the grey systems theory. Based on the literature analysis, 12 key management factors were identified and then subjected to expert assessment. In order to rank the factors, a decision model based on the grey systems theory (GST), i.e. systems with incomplete and uncertain information about structure and behavior, was developed and verified. The use of GST in the area of ensuring safety in maintenance is original. The findings of the article will be very useful for managers in implementing safe maintenance systems in various sectors of the economy.
Czasopismo
Rocznik
Tom
Strony
196--202
Opis fizyczny
Bibliogr. 51 poz., tab.
Twórcy
autor
- Czestochowa University of Technology, ul. J.H. Dąbrowskiego 69, 42-201 Częstochowa, Poland
Bibliografia
- 1. Abreu, J., Martins, P.V., Fernandes, S., Zacarias, M., 2013. Business processes improvement on maintenance management: a case study. Procedia Technology, 9, 320-330.
- 2. Alsyouf, I., 2007. The role of maintenance in improving companies’ productivity and profitability. International Journal of Production Economics, 105(1), 70-78, DOI: 10.1016/j.ijpe.2004.06.057.
- 3. An, H., Chung, P., McDonald, J., Madden, J., 2009. Computer-aided identification of isolation boundary for safe maintenance and cause and effect analysis for assessing safeguards. International Journal of Process Systems Engineering, 1(1), DOI: 10.1504/IJPSE.2009.027999.
- 4. Antti, S, Mats, D., 2011. Costs of poor maintenance. Journal of Quality in Maintenance Engineering, 17(1), 63-73.
- 5. Azadeh, A., Gaeini, Z., Moradi, B., 2014. Optimization of HSE in maintenance activities by integration of continuous improvement cycle and fuzzy multivariate approach: A gas refinery. Journal of Loss Prevention in the Process Industries, 32, 415-427, DOI: 10.1016/j.jlp.2014.10.006.
- 6. Blaise, J.C., Levrat, E., Iung, B., 2014. Process approach-based methodology for safe maintenance operation: From concepts to SPRiMI software prototype. Safety Science, 70, 99-113, DOI: 10.1016/j.ssci.2014.05.008.
- 7. Carrillo-Castrillo, J.A., Rubio-Romero, J.C., Guadix, J., Onieva, L., 2015. Risk assessment of maintenance operations: the analysis of performing task and accident mechanism. International Journal of Injury Control and Safety Promotion, 22(3), 267-277.
- 8. Carol, K.H.H., Chan Albert, P.C., Chan Daniel, W.M., 2011. Strategies for improving safety performance of repair, maintenance, minor alteration and addition (RMAA) works. Facilities, 29(13/14), 591-610, DOI: 10.1108/02632771111178391.
- 9. Carol, K.H.H., Hinze, J., Chan Albert, P.C., 2014. Safety climate and injury occurrence of repair, maintenance, minor alteration and addition works: A comparison of workers, supervisors and managers. Facilities, 32(5/6),188-207, DOI: 10.1108/F-09-2011-0066.
- 10. Caputo, A.C., Pelagagge, P.M., Salini, P., 2013. AHP-based methodology for selecting safety devices of industrial machinery. Safety Science, 53, 202-218, DOI: 10.1016/j.ssci.2012.10.006.
- 11. Choudhry, R.M, Fang, D., Mohamed S., 2007. The nature of safety culture: A survey of the state-of-the-art. Safety Science, 45(10), 993-1012, DOI: 10.1016/j.ssci.2006.09.003.
- 12. Crespo Márquez, A., Moreu de León, P., Gómez Fernández, J.F., Parra Márquez, C., López Campos, M., 2009. The maintenance management framework: A practical view to maintenance management. Journal of Quality in Maintenance Engineering, 15(2), 167-178, DOI: 10.1108/13552510910961110.
- 13. Delcea, C., 2015a. Grey systems theory in economics – a historical applications review. Grey Systems: Theory and Application, 5(2), 263-276, DOI:10.1108/GS-05-2015-0018.
- 14. Delcea, C., 2015b. Grey systems theory in economics – bibliometric analysis and applications’ overview. Grey Systems: Theory and Application, 5(2), 244-262, DOI: 10.1108/GS-03-2015-0050.
- 15. Ding, S.H., Kamaruddin, S., Azid, I.A., 2014. Maintenance policy selection model – a case study in the palm oil industry. Journal of Manufacturing Technology Management, 25(3), 415-435.
- 16. EASHW, 2010. Safe maintenance in practice. Publications Office of the European Union, Luxembourg, 2010.
- 17. EN 13306:2010 Maintenance - Maintenance terminology. European Committee for Standardization.
- 18. Frazier, C.B., Ludwig T.D., Whitaker B., Roberts D.S., 2013. A hierarchical factor analysis of a safety culture survey. Journal of Safety Research, 45, 15-28, DOI: 10.1016/j.jsr.2012.10.015.
- 19. Gyekye, S.A., 2005. Workers’ perceptions of workplace safety and job satisfaction. International Journal of Occupational Safety and Ergonomics (JOSE), 11(3), 291-302.
- 20. Kapustka, K., Ziegmann, G., Klimecka-Tatar, D., Ostrega, M., 2020. Identification of health risks from harmful chemical agents–review concerning bisphenol A in workplace. Production Engineering Archives, 26(2), 45-49, DOI: 10.30657/pea.2020.26.10.
- 21. Kelly, T.P., McDermid, J.A., 2001. A systematic approach to safety case maintenance. Reliability Engineering & System Safety, 71(3), 271-284.
- 22. Kiseľáková, D., Hairul, Gallo, P., Gallo, P., Čabinová, V., Onuferová, E., 2020. Total quality management as managerial tool of competitiveness in enterprises worldwide. Polish Journal of Management Studies, 21(2), 195-209, DOI: 10.17512/pjms.2020.21.2.14.
- 23. Kučera, M., Kopčanová, S., 2020. Lubricant analysis as the most useful tool in the proactive maintenance philosophies of a machinery and its components. Management Systems in Production Engineering, 28(3), 196-201, DOI: 10.2478/mspe-2020-0029.
- 24. Leong, T.K., Zakuan, N., Saman, M.Z.M., 2012. Quality management maintenance and practices – technical and non-technical approaches. Procedia – Social and Behavioral Sciences, 65, 688-696.
- 25. Lind, S., Nenonen, S., 2008. Occupational risks in industrial maintenance. Journal of Quality in Maintenance Engineering, 14(2),194-204, DOI: 10.1108/13552510810877683.
- 26. Liu, S., Forrest, J., Yang, Y., 2012a. A brief introduction to grey systems theory. Grey Systems: Theory and Application, 2(2), 89-104, DOI: 10.1108/20439371211260081.
- 27. Liu, S., Fang, Z., Yang, Y., Forrest, J., 2012b. General grey numbers and their applications. Grey Systems: Theory and Application, 2(3), 341-349.
- 28. Liu, S., Forrest, J., Yang, Y., 2016a. New progress of Grey System Theory in the new millennium. Grey Systems: Theory and Application, 6(1), 2-31, DOI: 10.1108/GS-09-2015-0054.
- 29. Liu, S., Yang, Y., Forrest, J., 2016b. Grey Data Analysis. Methods, Models and Applications. Springer-Verlag, Springer Science & Business Media, Singapore. Liu, S.-X., Zhou, Y., Cheng, Y., Zhu, Y.-Q., 2020, Multiple mediating effects in the relationship between employees’ trust in organizational safety and safety participation behavior. Safety Science, 125, DOI: 10.1016/j.ssci.2020.104611.
- 30. Liyanage, J.P., Badurdeen, F., Chandima Ratnayake, R.M., 2009. Industrial Asset Maintenance and Sustainability Performance: Economical, Environmental and Societal Implications. [in:] M. Ben-Daya, S.O. Duffuaa, A. Raouf, J. Knezevic, D. Ait-Kadi (eds.) Handbook of Maintenance Management and Engineering, 665-693, Springer.
- 31. Löfsten, H., 1999. Management of industrial maintenance-economic evaluation of maintenance policies. International Journal of Operations & Production Management, 19(7), 716-737, DOI: 10.1108/0144357991027 1683.
- 32. Nenonen, S., 2011. Fatal workplace accidents in outsourced operations in the manufacturing industry. Safety Science, 49(10), 1394-1403.
- 33. Niciejewska, M., Kiriliuk, O., 2020. Occupational health and safety management in small size enterprises, with particular emphasis on hazards identification. Production Engineering Archives, 26(4), 195-201, DOI: 10.30657/pea.2020.26.34.
- 34. Parida, A., Chattopadhyay, G., 2007. Development of a multi-criteria hierarchical framework for maintenance performance measurement (MPM). Journal of Quality in Maintenance Engineering, 13(3), 241-258, DOI: 10.1108/13552510710780276.
- 35. Pollard, J., Heberger, J., Dempsey, P.G., 2014. Maintenance and repair injuries in US mining. Journal of Quality in Maintenance Engineering, 20(1), 20-31.
- 36. Reason, J., Hobbs, A., 2003. Managing Maintenance Error – A Practical Guide. Ashgate Publishing Company, Burlington, VT.
- 37. Sharabi M., 2014. Today’s quality is tomorrow, reputation (and the following day’s business success). Total Quality Management & Business Excellence, 25(3-4), 183-197, DOI: 10.1080/14783363.2013.858877.
- 38. Sheikhalishahi, M., Pintelon, L., Azadeh, A., 2016. Human factors in maintenance: a review. Journal of Quality in Maintenance Engineering, 22(3), 218-237.
- 39. Stadnicka, D., Antosz, K., Chandima Ratnayake, R.M., 2014. Development of an empirical formula for machine classification: Prioritization of maintenance tasks. Safety Science, 34-41, DOI: 10.1016/j.ssci.2013. 10.020.
- 40. Tabor, J. 2014. Maintenance Management and Occupational Safety in Manufacturing Organizations. Polish Journal of Management Studies, 10(2), 225-235.
- 41. Teplická, K., Hurná, S., 2021. New approach of costs of Quality according their trend of during long period in industrial enterprises in SMEs. Management Systems in Production Engineering, 29(1), 20-26, DOI: 10.2478/mspe-2021-0003.
- 42. Tsang, A.H.C., 2002. Strategic dimensions of maintenance management. Journal of Quality in Maintenance Engineering, 8(1), 17-39, DOI: 10.1108/13552510210420577.
- 43. Tzeng, G.H., Huang, J.J., 2011. Multiple Attribute Decision Making: Methods and Applications. CRC Press.
- 44. Van Horenbeek A., Pintelon, L., 2011. Development of a maintenance performance measurement framework–using the analytic network process (ANP) for maintenance performance indicator selection. Omega, 42, 2014, 33-43, DOI: 10.1016/j.omega.2013.02.006.
- 45. Vredenburgh, A.G., 2002. Organizational safety: which management practices are most effective in reducing injury rates? Journal of Safety Research, 33(2), 259-276.
- 46. Walters D., Wadsworth, E., 2019, Participation in safety and health in European workplaces: Framing the capture of representation. European Journal of Industrial Relations, 26(1), 75-90, DOI: 10.1177/095968011983 5670.
- 47. Wang, L., Chu, J., Wu, J., 2007. Selection of optimum maintenance strategies based on a fuzzy analytical hierarchy process. International Journal of Production Economics, 107(1), 151-163, DOI: 10.1016/j.ijpe.2006.08. 005.
- 48. Wetzel, E.M., Thabet, W.Y., 2015. The use of a BIM-based framework to support safe facility management processes. Automation in Construction, 60, 12-24, DOI: 10.1016/j.autcon.2015.09.004.
- 49. Wijeratne, W.M.P.U., Perera, B.A.K.S., L. De Silva L.. 2014. Identification and assessment risks in maintenance operations. Built Environment Project and Asset Management, 4(4), 384-405.
- 50. Woźny, A., 2020. Selected problems of managing work safety - case study. Production Engineering Archives, 26(3), 99-103, DOI: 10.30657/pea. 2020.26.20.
- 51. Yorio, P.L., Wachter, J.K., 2014. The impact of human performance focused safety and health management practices on injury and illness rates: Do size and industry matter? Safety Science, 62, 157-167, DOI: 10.1016/j.ssci.2013.08.014.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-14ecdd5e-cd61-4119-84fe-dddd7f169e60