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Using the dematel model for the FMEA risk analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
Języki publikacji
EN
Abstrakty
EN
Technological progress has brought a large amount of complex machinery into the work processes, which represents a potential source of serious injuries, accidents, or breakdowns. The aim of this paper is to follow new trends in the FMEA and their use in our study. We have chosen the Turning Machine Doosan V-Puma Doosan PUMA V550R Machining Centre with manufacturing diameters and mechanical machining operations. We have created the FMEA team, which participated in the entire evaluation and analysis. We identified possible failures and causes of failures in the given operations. We applied the conventional PFMEA and identified the RPN risk number. We also used DEMATEL model. Using DEMATEL matrices, we identified a binding between the individual failures and the causes of the failures. Some failures will become the main cause of other failures and the causes of the failures; some arise as a result of other failures or causes of failures. Finally, we evaluated the applicability of individual methods and models. By the DEMATEL model we clarified the significance and bindings between individual failures.
Wydawca
Rocznik
Strony
550--557
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
  • Slovak University of Agriculture, Slovak Republic
autor
  • Slovak University of Agriculture, Slovak Republic
  • Slovak University of Agriculture, Slovak Republic
Bibliografia
  • [1] Bujna, M., Beloev, C. I. 2015. Tools of risk management in production processes. Angel Kanchev University of Ruse, Bulgaria.
  • [2] Bujna, M., Dostál, P. 2017. Assessment of selected equipment by method FTA. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 65(5), 1655-1661.
  • [3] Girmanová, L., Šolc, M., Kliment, J., Divoková, A., Mikloš, V. 2017. Application of Six Sigma Using DMAIC Methodology in the Process of Product Quality Control in Metallurgical Operation. Acta Technologica Agriculturae. 20(4). 104-109.
  • [4] Guo, J.J., Tsai, S.B. 2015. “Discussing and Evaluating Green Supply Chain Suppliers: A Case Study of the Printed Circuit Board Industry in China. South African Journal of Industrial Engineering, 26 (2), pp. 56-67.
  • [5] Korenko, M. et al. 2015. Risk analysis at work in manufacturing organization. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 63(5), 1493-1497.
  • [6] Knop, K., Ingaldi, M., Smilek-Starczynowska, M. 2017. Reduction of Errors of the Conformity Assessment During the Visual Inspection of Electrical Devices. Advances in Manufacturing. Hamrol A., Ciszak O., Legutko S., Jurczyk M. (ed.) Lecture Notes in Mechanical Engineering, Springer International Publishing, Cham, 857-867.
  • [7] Nguyen, T. L., Shu, M. H., Hsu, B. M. 2014. Extended FMEA for sustainable manufacturing: An empirical study in the non-woven fabrics industry. Sustainability, 8(9), 939. 2016.
  • [8] Prístavka, M., Beloev, C I., Kročko, V. 2014. Quality control in production processes. Angel Kanchev University of Ruse, Bulgaria.
  • [9] Rouhani, S., Ashrafi, A., Afshari, S. 2014. Fuzzy DEMATEL Model for Evaluation Criteria of Business Intelligence. Proceedings of the 16th International Conference on Enterprise Information Systems, 456-463.
  • [10] Tsai, S.B., Huang, C.Y., Wang, C.K., Chen Q., et al. 2016. Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries. Plos One, 11(5): e0154071.
  • [11] Tsai, S-B, Zhou, J, Gao, Y, Wan,g J, Li G, Zheng, Y, et al. (2017) Combining FMEA with DEMATEL models to solve production process problems. Plos One 12(8): e0183634. https://doi.org/10.1371/journal.pone.0183634
  • [12] Tureková, I. 2016. Evaluation of human reliability by methods of observation and coaching in the maintenance process. Proceedings from 10th International Technology, Education and Development Conference, Valencia, 752-761.
  • [13] Žitňák, M., Macák, M., Korenko, M. 2014. Assessment of risks in implementing automated satellite navigation systems. Research in agricultural engineering. 60, 16-24.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3812268b-f78d-426d-a92e-bc3320515d59
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