https://m2.mtmt.hu/ hun 2026-07-26 04:36 JournalArticle 36329158 VALIDATED true 0 false 2026-06-19T11:44:56.232+0000 2026-01-07T13:46:23.722+0000 2025-09-12T08:47:09.731+0000 true 10029559 Skapinyecz Róbert /api/author/10029559 Author Skapinyecz Róbert (Logisztika, Közlekedéstudomány) true 10029559 2025-09-12T12:22:45.775+0000 2025-09-12T12:22:45.775+0000 2025-10-27T14:39:08.577+0000 true 10019966 Tóth Henrietta /api/admin/10019966 Admin Tóth Henrietta (ME admin) true 10019966 true false true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle true 10000059 Article true 24 24 /api/publicationtype/24 PublicationType Folyóiratcikk 1 true 24 JournalArticle /api/subtype/10000059 Szakcikk SubType Szakcikk (Folyóiratcikk) 101 true 10000059 true 1 /api/category/1 Category Tudományos true 1 Skapinyecz, Róbert true true /api/journal/10024149 REVIEWED ALGORITHMS 1999-4893 true false 10024149 false 10024149 true 1999-4893 Journal FOREIGN 18 9 573 573 32 2025 The main objective of the study is to present the latest trends and research directions in the field of optimization of logistics systems with Discrete-Event Simulation (DES) and Deep Learning (DL). This research area is highly relevant from several aspects: on the one hand, in the modern Industry 4.0 concept, simulation tools, especially Discrete-Event Simulations, are increasingly used for the modelling of material flow processes; on the other hand, the use of Artificial Intelligence (AI)—especially Deep Neural Networks (DNNs)—to evaluate the results of the former significantly enhances the potential applicability and effectiveness of such simulations. At the same time, the results obtained from Discrete-Event Simulations can also be used as synthetic datasets for the training of DNNs, which creates entirely new opportunities for both scientific research and practical applications. As a result, the interest in the combination of Discrete-Event Simulation with Deep Learning in the field of logistics has significantly increased in the recent period, giving rise to multiple different approaches. The main contribution of the current paper is that, through a review of the relevant literature, it provides an overview and systematization of the state-of-the-art methods and approaches in this developing field. Based on the results of the literature review, the study also presents the evolution of the research trends and identifies the most important research gaps in the field. true 2025 true true true false true false GOLD 2026-06-19 true https://doi.org/10.3390/a18090573 4 0 4 4 0 4 4 2 0 2 2 2 2 4 0 0 4 4 4 4 0 1 1 Folyóiratcikk Journal Article 24 3 Könyvrészlet Chapter in Book 25 1 Könyv Book 23 0 Egyéb konferenciaközlemény Conference paper 31 0 Egyéb konferenciakötet Conference proceedings 32 0 Oltalmi formák Protection forms 26 0 Disszertáció Thesis 28 0 Egyéb Miscellaneous 29 0 Alkotás Achievement 22 0 Kutatási adat Research data 33 0 Folyóiratcikk Journal Article 24 0 0 0 Könyvrészlet Chapter in Book 25 0 0 0 Könyv Book 23 0 0 0 Egyéb konferenciaközlemény Conference paper 31 0 0 0 Egyéb konferenciakötet Conference proceedings 32 0 0 0 Oltalmi formák Protection forms 26 0 0 0 Disszertáció Thesis 28 0 0 0 Egyéb Miscellaneous 29 0 0 0 Alkotás Achievement 22 0 0 0 Kutatási adat Research data 33 0 0 0 2025 0 1 1 1 1 2026 0 3 3 3 3 Q2 false 10029559 false false false 2025-10-26T14:39:08.417+0000 Logisztikai Intézet (ME / GIK) 1 5 1 1 0 true Language 10002 /api/language/10002 Angol Angol English true 2 true PersonAuthorship 127790259 /api/authorship/127790259 Skapinyecz, Róbert ✉ [Skapinyecz, Róbert (Logisztika, Közle...), szerző] Logisztikai Intézet (ME / GIK) 1 1.0 true false true Author 10029559 /api/author/10029559 Skapinyecz Róbert (Logisztika, Közlekedéstudomány) Skapinyecz Róbert true 10029559 true Skapinyecz Róbert true false false AuthorshipType 1 /api/authorshiptype/1 Szerző 0 true 0 true false true PublicationIdentifier 29831504 /api/publicationidentifier/29831504 DOI: 10.3390/a18090573 PlainSource 6 /api/publicationsource/6 DOI PublicationSourceType 10001 /api/publicationsourcetype/10001 DOI true true true DOI DOI https://doi.org/@@@ true true 6 true GREEN true IDENTICAL 10.3390/a18090573 https://doi.org/10.3390/a18090573 false true PublicationIdentifier 30062111 /api/publicationidentifier/30062111 WoS: 001579340300001 PlainSource 1 /api/publicationsource/1 WoS PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true WoS WoS https://www.webofscience.com/wos/woscc/full-record/@@@ true true 1 true IDENTICAL 001579340300001 https://www.webofscience.com/wos/woscc/full-record/001579340300001 true true PublicationIdentifier 30062110 /api/publicationidentifier/30062110 Scopus: 105017369925 PlainSource 3 /api/publicationsource/3 Scopus PublicationSourceType 10003 /api/publicationsourcetype/10003 Indexelő adatbázis false true true Scopus Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 105017369925 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105017369925 true true PublicationIdentifier 29831505 /api/publicationidentifier/29831505 Egyéb URL: https://www.mdpi.com/1999-4893/18/9/573 PlainSource 40 /api/publicationsource/40 Egyéb URL PublicationSourceType 10006 /api/publicationsourcetype/10006 Link true true true Egyéb URL Other URL @@@ true true 40 true https://www.mdpi.com/1999-4893/18/9/573 https://www.mdpi.com/1999-4893/18/9/573 false true Classification 10807 /api/classification/10807 Műszaki és technológiai tudományok true true Classification 10034 /api/classification/10034 Számítás- és információtudomány true true Classification 10001 /api/classification/10001 Tudomány true true SjrRating 11567234 /api/sjrrating/11567234 sjr:Q2 (2025) Scopus - Computational Mathematics ALGORITHMS 1999-4893 74 0.49 journal RatingType 10002 /api/ratingtype/10002 sjr sjr true true ClassificationExternal 2605 /api/classificationexternal/2605 Scopus - Computational Mathematics true 2605 true Q2 DIRECT true true Reference 68060472 /api/reference/68060472 1. 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(2025) ALGORITHMS 1999-4893 18 9<div class="JournalArticle Publication long-list"> <div class="authors"> <img title="Forrásközlemény" style="float: left" src="/frontend/resources/grid/publication-core-icon.png"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" mtid="10029559"><a href="/gui2/?type=authors&mode=browse&sel=10029559" target="_blank">Skapinyecz Róbert ✉ (<span class="authorship-author-name">Skapinyecz Róbert</span> <span class="authorAux-mtmt"> Logisztika, Közlekedéstudomány</span>) </a> </span> <span class="author-affil"><span title="Miskolci Egyetem">ME</span>/<span title="Gépészmérnöki és Informatikai Kar">GIK</span>/Logisztikai Intézet</span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;36329158" target="_blank">Recent Trends in the Optimization of Logistics Systems Through Discrete-Event Simulation and Deep Learning</a></div> <div> <span class="journal-title">ALGORITHMS</span> <span class="journal-issn">( <a target="_blank" href="https://portal.issn.org/resource/ISSN/1999-4893">1999-4893</a>)</span>: <span class="journal-volume">18</span> <span class="journal-issue">9</span> <span class="page"> Paper 573. 32 p. </span> <span class="year">(2025)</span> </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_GREEN" title=" Green "> <a style="color:blue" title="10.3390/a18090573" target="_blank" href="https://doi.org/10.3390/a18090573"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="001579340300001" target="_blank" href="https://www.webofscience.com/wos/woscc/full-record/001579340300001"> WoS </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="105017369925" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-105017369925"> Scopus </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:black" title="https://www.mdpi.com/1999-4893/18/9/573" target="_blank" href="https://www.mdpi.com/1999-4893/18/9/573"> Egyéb URL </a> </span> </span> <OnlyViewableByAuthor><div class="ratings"> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computational Mathematics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Computational Theory and Mathematics&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Numerical Analysis&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> <div class="journal-subject">Folyóirat szakterülete: Scopus - Theoretical Computer Science&nbsp;&nbsp;&nbsp;SJR indikátor:&nbsp;Q2</div> </div></OnlyViewableByAuthor> <div class="publication-citation" style="margin-left: 0.5cm;"> <span title="Nyilvános idézőközlemények összesen, említések nélkül" class="citingPub-count">Nyilvános idéző összesen: 4</span> | Független: 4 | Függő: 0 | Nem jelölt: 0 | WoS jelölt: 2 | WoS/Scopus jelölt:&nbsp;2 | DOI jelölt:&nbsp;4 </div> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;36329158&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 36329158</span> | <span class="status-data status-VALIDATED"> Egyeztetett </span> Forrás Idéző | <span class="type-subtype">Folyóiratcikk ( Szakcikk ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData"></span> </div> <div class="lastModified">Utolsó módosítás: 2026.01.07. 14:46 Tamás Péter (Logisztika) </div> </div></div>