{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:23:37Z","timestamp":1759332217916,"version":"3.41.2"},"reference-count":31,"publisher":"Walter de Gruyter GmbH","issue":"1","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,19]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Smooth operation of railway stations and yards is vital for the efficient functioning of the whole railway system. Being complex systems, their operation is extremely sensitive to various influences, which makes their management, especially at the operational level, very difficult. Efficient tools to aid the decision-making process of dispatchers of such stations are therefore needed. With an emphasis on increasing the effectiveness of decision support tools, we propose a simulation-based optimization algorithm. This algorithm extracts a dataset from a simulation model and then reduces it to a partial dataset to be able to use specific exact optimization method in operational management. The partial dataset is limited by certain time horizon. The applicability of the proposed algorithm has been verified on two distinct tasks, namely, personnel assignment and service task assignment in a maintenance depot, confirming the usability of the proposed approach.<\/jats:p>","DOI":"10.1515\/comp-2024-0014","type":"journal-article","created":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T17:41:06Z","timestamp":1732038066000},"source":"Crossref","is-referenced-by-count":1,"title":["Simulation-based optimization of decision-making process in railway nodes"],"prefix":"10.1515","volume":"14","author":[{"given":"Andrea","family":"Galad\u00edkov\u00e1","sequence":"first","affiliation":[{"name":"Faculty of Management Science and Informatics, University of \u017dilina , \u017dilina , Slovak Republic"}]},{"given":"Norbert","family":"Adamko","sequence":"additional","affiliation":[{"name":"Simcon, s.r.o., J. Kr\u00e1\u013ea 19 , \u017dilina 01001 , Slovak Republic"}]}],"member":"374","published-online":{"date-parts":[[2024,11,19]]},"reference":[{"key":"2024111917410085201_j_comp-2024-0014_ref_001","unstructured":"J. Ga\u0161par\u00edk, D. Lichner, and P. Blaho, \u017delezni\u010dn\u00e1 dopravn\u00e1 prev\u00e1dzka \u2013 z\u00e1klady dopravnej prev\u00e1dzky, Edis, \u017dilina, no. 1, 2015, p. 407."},{"key":"2024111917410085201_j_comp-2024-0014_ref_002","unstructured":"Siemens AG, Mobility Division. Controlguide operations control systems. [Online]. Available: https:\/\/www.mobility.siemens.com\/global\/en\/portfolio\/rail\/automation\/operations-control-systems\/controlguide-ocs.html."},{"key":"2024111917410085201_j_comp-2024-0014_ref_003","doi-asserted-by":"crossref","unstructured":"A. Galad\u00edkov\u00e1 and N. Adamko, \u201cSimulation-based methods to support the real-time management of railways nodes,\u201d Transportation Research Procedia, vol. 55, pp. 1345\u20131352, 2021, 14th International Scientific Conference on Sustainable, Modern and Safe Transport.","DOI":"10.1016\/j.trpro.2021.07.119"},{"key":"2024111917410085201_j_comp-2024-0014_ref_004","doi-asserted-by":"crossref","unstructured":"A. Caprara, M. Fischetti, P. Toth, D. Vigo, and P. Guida, \u201cAlgorithms for railway crew management,\u201d Mathematical Programming, vol. 79, pp. 125\u2013141, Feb 2000.","DOI":"10.1007\/BF02614314"},{"key":"2024111917410085201_j_comp-2024-0014_ref_005","doi-asserted-by":"crossref","unstructured":"K. Hoffmann, U. Buscher, J. Neufeld, and F. 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