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Selection of train traffic manager’s activities in training process using Functional Resonance Analysis Method

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In training process of rail traffic manager (controller) using virtual reality technology, selection of activities among those assigned to a workplace and scenarios that should be taken in training is an important issue. The selection method that is based on performance variability of her/his activities has been proposed in the paper. This variability has been characterized by timing and precision. The traditional reliability and safety analysis methods are not sufficient when building the training program for traffic managers. In the paper the train controller work has been modelled using Functional Resonance Analysis Method (FRAM) that is system oriented approach. Scales of values of timing and precision that are train transport driven have been presented. They are different when comparing with typical timing and precision scales given in FRAM literature. In the paper the estimation of probabilities of occurring of values of timing and precision scales for these activities has been calculated as the mean from the values obtained by questionnaire done in traffic manager community or using Analytic Hierarchy Process (AHP) method. In FRAM with AHP approaches presented in literature, AHP pairwise comparison is executed using natural numbers and their reciprocals what is typical in AHP method. In our paper the AHP is used for estimating the probabilities, so in pairwise comparing the rational numbers are applied, because natural numbers and their reciprocals would limit the set of values of probabilities. The activities and scenarios that the training should be concentrated on are selected from those with the greatest variability.
Rocznik
Strony
39--51
Opis fizyczny
Bibliogr. 26 poz., rys., tab.
Twórcy
  • Wrocław University of Science and Technology, Wrocław, Poland
autor
  • Wrocław University of Science and Technology, Wrocław, Poland
  • Wrocław University of Science and Technology, Wrocław, Poland
  • Wrocław University of Science and Technology, Wrocław, Poland
Bibliografia
  • [1] De Felice, F., Petrillo, A. (2011). Methodological approach for performing human reliability and error analysis in railway transportation system. International Journal of Engineering and Technology, 3(5), 241-253.
  • [2] Franca, J.E.M., Hollnagel, E., Luquetti dos Santos, I.J.A.: Haddad, A.N. (2020). FRAM AHP approach to analyse offshore oil well drilling and construction focused on human factors. Cognition, Technology and Work, 20, 653-665.
  • [3] Dimitrov, D., Trendafilov, Z. (2018). About the need for performing training and increasing the qualification of dispatchers and movement managers in railway transport. International Journal of Innovative Technologies in Economy, 5(17), p. 68-72.
  • [4] Gołębiowski, P., (2020). Method of Planning the Work of Conductor Crews Taking into Account the Polish Conditions, in: ISCT21 2019: Research Methods and Solutions to Current Transport Problems, 154-163. DOI: 10.1007/978-3-030-27687-4_16.
  • [5] Hatakeyama, N., Okada, Y., Hayama, K., Kaburagi, T., Miyachi, Y. (2016). Training Method of Communication Skills for Train Dispatchers in Abnormal Situations. Quarterly Report of RTRI, 57(2), 138-143.
  • [6] Hill, R., (2016) FRAM Model isualiser (FMV) version 0.4.3.
  • [7] Hirose, T., Hideki, N., Hollnagel, E., Hill, R., Sawaragi, T., Slater, D. (2020). Treating variability formally in FRAM. Preprint, DOI: 10.13140/RG.2.2.26507. 72485.
  • [8] Hollnagel, E., Hounsgaard, J., Colligan, L. (2014). FRAM – the Functional Resonance Analysis Method – a handbook for the practical use of the method. Centre for Quality, Region of Southern Denmark.
  • [9] Hollnagel, E., Pruchnicki, S., Woltjer, R., Etcher, S. (2008). Analysis of Comair flight 5191 with the functional resonance accident model. In: 8th International Symposium of the Australian Aviation Psychology Association, Sydney, Australia. 8 p. hal-00614254.
  • [10] Jacyna M., (2009). Modelling and evaluation of transportation systems (in Polish). Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa.
  • [11] Jacyna, M., Wasiak, M., Kłodawski, M., Lewczuk, K., (2014). Simulation model of transport system of Poland as a tool for developing sustainable transport. Archives of Transport, 31(3), 23-35. DOI: 10.5604/08669546.1146982.
  • [12] Jacyna, M., Żak, J., (2016). Simulation Models in Testing Reliability of Transport Process. Journal of KONBiN , 37(1), 203-230. DOI: 10.1515/jok-2016-0010.
  • [13] Jacyna-Gołda, I., Gołębiowski, P., Izdebski, M., Lewczuk, K., Kłodawski, M., Jachimowski, R., Szczepański, E., (2017). The evaluation of the sustainable transport system development with the scenario analyses procedure. Journal of Vibroengineering, 19(7), 5627-5638. DOI: 10.21595/jve.2017.19275.
  • [14] Leveson, N. (2012). Engineering a Safer World, Systems Thinking Applied to Safety. MIT Press.
  • [15] Lin, Y., Min, X. (2022). Quantitative safety analysis of train control system based on statistical model checking. Archives of Transport, 61(1), 7-19.
  • [16] Lower, M., Magott. J., Skorupski, J. (2018). A system-theoretic accident model and process with human factors analysis and classification system taxonomy. Safety Science, 110(Part A), 393-410.
  • [17] Magott, J., Wikiera-Magott, I. (2020). Patient safety analysis in general practitioner’s work using Functional Resonance Analysis Method (FRAM). Journal of KONBiN, 50(3), 217-236.
  • [18] Manoy, M.: Multicriteria decision making, Analytic hierarchy process (AHP) method. https://www.youtube.com/watch ?v=J4T70o8gjlk, accessed 2021/01/05.
  • [19] Patriarca, R., Di Gravio, G., Costantino, F. (2017). A Monte Carlo evolution of the Functional Resonance Analysis Method (FRAM) to assess performance variability in complex systems. Safety Science, 91, 49-60.
  • [20] Patriarca, R., Di Gravio, G., Woltjer, R., Cos tantino, F., Praetorius, G., Ferreira, P., Hollnagel, E. (2020). Framing the FRAM: A literature review on the functional resonance analysis method. Safety Science, 129, Article number 104827.
  • [21] Rasmussen, J., Svedung, X. (2000). Proactive Risk Management in a Dynamic Society. Swedish Rescue Services Agency.
  • [22] Restel, F. (2021). The railway process evaluation method in terms of resilience analysis. Archives of Transport, 57(1), 73-89.
  • [23] Rosa, L.V., Haddad, A.N., De Carvalho P.V.R. (2015). Assessing risk in sustainable construction using the Functional Resonance Analysis Method (FRAM). Cognition, Technology and Work, 17.
  • [24] Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill.
  • [25] Todorova, M., Kirchev, T., Trifonov, K. (2019). A survey on needs and possibilities of training in acquiring “Train dispatcher” qualification. BulTrans-2019 Conference Proceedings, Sozopol.
  • [26] Trowitzsch, J., Zimmermann, A., Hommel, G. (2005). Towards quantitative analysis of real-time UML using stochastic Petri nets. Proc. 19th IEEE International Parallel and Distributed Processing Sympodium, 7.
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-ed1fd464-1be3-4d7d-8866-057c87f33c4a
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