A fuzzy-based method of assigning train managers to task types
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Abstract
Besides an employee's skill level, several personal qualities may affect the implementation of a task during job activities. Thus, it might be hypothesised that the effectiveness of railway personnel depends on the relationship between their abilities and the types of available duties. This article presents research results on the compatibility of personnel and performed duties focusing on train managers. This profession is important due to passenger safety, and there is a lower scientific interest in this job than in the case of train drivers. A complex survey has been conducted in cooperation with volunteers from the rail industry. As a result, groups of duties and personnel profiles have also been elaborated in cooperation with railway industry experts. A fuzzy logic-based method was built to classify the train managers. Then, a self-assessment was conducted as the final step; experts were asked to assess the managers' attitudes. The overall model was tested during validation. The automatised fuzzy-based method recognised 80 % of managers and indicated good clusters.
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References
Balakina, E. P., Kulagin, M. A., Loginova, L. N., Sidorenko, V. G. (2023). Speech Technologies in the Operational Personnel Training of Urban Rail Transport Systems. In Dvořáková, Z., Kulachinskaya, A. (eds): Digital Transformation: What is the Impact on Workers Today? Lecture Notes in Networks and Systems 827. Springer, Cham. 145–156. DOI: https://doi.org/10.1007/978-3-031-47694-5_11
Frantasov, D. N., Papirovskaya, L. I., Chasovskikh, E. A. (2021). Automated assessment of personnel to identify risk behaviours. In Ashmarina, S. I., Horák, J., Vrbka, J., Šuleř, P. (eds) Economic Systems in the New Era: Stable Systems in an Unstable World. Lecture Notes in Networks and Systems 160. Springer, Cham. 832–839. DOI: https://doi.org/10.1007/978-3-030-60929-0_107
Gołębiowski, P. (2020). Method of Planning the Work of Conductor Crews Taking into Account the Polish Conditions. In: Siergiejczyk, M., Krzykowska, K. (eds) Research Methods and Solutions to Current Transport Problems. ISCT21 2019. Advances in Intelligent Systems and Computing 1032. Springer, Cham. DOI: https://doi.org/10.1007/978-3-030-27687-4_16
Harrison, C., Stow, J., Ge, X., Gregory, J., Gibson, H., Monk, A. (2022). At the limit? Using operational data to estimate train driver human reliability. Applied Ergonomics. 104, 103795. DOI: https://doi.org/10.1016/j.apergo.2022.103795
Haryanto, B., Suprapti, A. R., Taufik, A., Maminirina Fenitra, R. (2022). Moderating role of transformational leadership in the relationship between work conflict and employee performance. Cogent Business and Management. 9(1), 2105578. DOI: https://doi.org/10.1080/23311975.2022.2105578
Jütte, S., Albers, M., Thonemann, U. W., Haase, K. (2011). Optimising railway crew scheduling at DB Schenker. Interfaces. 41(2), 109–122. DOI: https://doi.org/10.1287/inte.1100.0549
Liu, Y., Ye, L., Guo, M. (2021). Does formal mentoring impact safety performance? A study on Chinese high-speed rail operators. Journal of Safety Research. 77, 46–55. DOI: https://doi.org/10.1016/j.jsr.2021.02.001
Ludewig, L. (2005). Personnel flexibility: An innovative approach to railway market liberalisation. Public Transport International. 54(1), 30–31. URL: https://www.researchgate.net/publication/298686089_Personnel_flexibility_-_An_innovative_approach_to_railway_market_liberalisation
Matusova, D., Gogolova, M. (2017). Using of New Management Approaches in the Field of Personal Marketing in the Transport Company. IOP Conference Series: Materials Science and Engineering. 245(4), 042027. DOI: https://doi.org/10.1088/1757-899X/245/4/042027
Preis, H., Pollehn, T., Ruf, M. (2023). Optimal resource rescheduling in classification yards considering flexible skill patterns. Journal of Rail Transport Planning & Management. 26(3), 100390. DOI: https://doi.org/10.1016/j.jrtpm.2023.100390
Roets, B., Folkard, S. (2022). Estimating hourly work schedule risk in railway traffic controllers. Safety Science. 151, 105757. DOI: https://doi.org/10.1016/j.ssci.2022.105757
Xu, Q., Xue, H., Yang, J., He, S., Lan, Y., & Zhang, Q. (2022). The influence of subjective comfort of working environment on occupational stress of railway station workers | 工作环境主观舒适度对铁路站点职工职业应激的影响. Chinese Journal of Industrial Hygiene and Occupational Diseases. 40(4), 267–271. DOI: https://doi.org/10.3760/cma.j.cn121094-20210318-00154