{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T12:00:05Z","timestamp":1787918405906,"version":"build-2784847793"},"reference-count":58,"publisher":"Informa UK Limited","issue":"1","license":[{"start":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T00:00:00Z","timestamp":1756080000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003052","name":"Ministry of Trade, Industry and Energy","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003052","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003661","name":"Korea Institute for Advancement of Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003661","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Production Research"],"published-print":{"date-parts":[[2026,1,2]]},"DOI":"10.1080\/00207543.2025.2543491","type":"journal-article","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T19:14:43Z","timestamp":1756149283000},"page":"106-124","update-policy":"https:\/\/doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":16,"title":["Digital twin-driven deep reinforcement learning for real-time optimisation in dynamic AGV systems"],"prefix":"10.1080","volume":"64","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5767-5792","authenticated-orcid":false,"given":"Donggun","family":"Lee","sequence":"first","affiliation":[{"name":"Advanced Institute of Convergence Technology","place":["Suwon, Republic of Korea"]},{"name":"Sungkyunkwan University","place":["Suwon, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-6338-0744","authenticated-orcid":false,"given":"Yong-Shin","family":"Kang","sequence":"additional","affiliation":[{"name":"Advanced Institute of Convergence Technology","place":["Suwon, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5610-5560","authenticated-orcid":false,"given":"Sang Do","family":"Noh","sequence":"additional","affiliation":[{"name":"Sungkyunkwan University","place":["Suwon, Republic of Korea"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"301","published-online":{"date-parts":[[2025,8,25]]},"reference":[{"key":"e_1_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/09544054231180513"},{"issue":"5","key":"e_1_3_3_3_1","first-page":"679","article-title":"A Markovian Decision Process","volume":"6","author":"Bellman R.","year":"1957","unstructured":"Bellman, R. 1957. \u201cA Markovian Decision Process.\u201d Journal of Mathematics and Mechanics 6 (5): 679\u2013684.","journal-title":"Journal of Mathematics and Mechanics"},{"key":"e_1_3_3_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/app14167135"},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-14747-5_1"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC48552.2020.9384089"},{"key":"e_1_3_3_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2998358"},{"issue":"2014","key":"e_1_3_3_8_1","first-page":"1","article-title":"Digital Twin: Manufacturing Excellence through Virtual Factory Replication","volume":"1","author":"Grieves M.","year":"2014","unstructured":"Grieves, M. 2014. \u201cDigital Twin: Manufacturing Excellence through Virtual Factory Replication.\u201d White Paper 1 (2014): 1\u20137.","journal-title":"White Paper"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CAC51589.2020.9327532"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2017.03.035"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSM.2022.3168702"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cie.2020.106749"},{"key":"e_1_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.1998695"},{"key":"e_1_3_3_15_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2019.1614692"},{"key":"e_1_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2941229"},{"key":"e_1_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/machines10121169"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3174220"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/app12020669"},{"key":"e_1_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/IES63037.2024.10665817"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11465-018-0483-0"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1483587"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.26552\/com.C.2018.4.16-23"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.01.113"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-71633-1_25"},{"key":"e_1_3_3_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/machines10121147"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2022.101710"},{"key":"e_1_3_3_28_1","doi-asserted-by":"publisher","DOI":"10.7315\/CDE.2021.313"},{"key":"e_1_3_3_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/CAC51589.2020.9326742"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.3390\/drones6110365"},{"key":"e_1_3_3_31_1","unstructured":"Mnih V. K. Kavukcuoglu D. Silver A. Graves I. Antonoglou D. Wierstra and M. Riedmiller. 2013. \u201cPlaying Atari with Deep Reinforcement Learning.\u201d arXiv preprint arXiv:1312.5602."},{"key":"e_1_3_3_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"e_1_3_3_33_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2021.1884309"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s40684-020-00227-1"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10845-020-01586-x"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/COASE.2019.8842849"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1080\/0951192X.2022.2090607"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1022633531479"},{"key":"e_1_3_3_39_1","volume-title":"Reinforcement Learning: An Introduction","author":"Sutton R. S.","year":"2018","unstructured":"Sutton, R. S. 2018. Reinforcement Learning: An Introduction. 2nd ed. Cambridge, MA: MIT Press.","edition":"2"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-3618-5"},{"issue":"1","key":"e_1_3_3_41_1","first-page":"53","article-title":"Online Optimization of AGV Transport Systems Using Deep Reinforcement Learning","volume":"9","author":"Takahashi K.","year":"2020","unstructured":"Takahashi, K., and S. Tomah. 2020. \u201cOnline Optimization of AGV Transport Systems Using Deep Reinforcement Learning.\u201d Bulletin of Networking, Computing, Systems, and Software 9 (1): 53\u201357.","journal-title":"Bulletin of Networking, Computing, Systems, and Software"},{"key":"e_1_3_3_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3070054"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2018.2873186"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.10295"},{"key":"e_1_3_3_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3362293"},{"key":"e_1_3_3_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSG.2018.2879572"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.3026638"},{"key":"e_1_3_3_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2018.06.128"},{"key":"e_1_3_3_49_1","doi-asserted-by":"publisher","DOI":"10.3390\/app13031762"},{"key":"e_1_3_3_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2020.06.012"},{"key":"e_1_3_3_51_1","first-page":"59","article-title":"Online Single Machine Scheduling Based on Simulation and Reinforcement Learning","volume":"1","author":"Xie S.","year":"2019","unstructured":"Xie, S., T. Zhang, and O. Rose. 2019. \u201cOnline Single Machine Scheduling Based on Simulation and Reinforcement Learning.\u201d Simulation in Produktion und Logistik 1:59\u201368.","journal-title":"Simulation in Produktion und Logistik"},{"key":"e_1_3_3_52_1","doi-asserted-by":"publisher","DOI":"10.1049\/trit.2020.0024"},{"key":"e_1_3_3_53_1","doi-asserted-by":"publisher","DOI":"10.3390\/machines10020075"},{"key":"e_1_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.3390\/s23125615"},{"key":"e_1_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.techfore.2021.120889"},{"key":"e_1_3_3_56_1","doi-asserted-by":"publisher","DOI":"10.1002\/asjc.3075"},{"key":"e_1_3_3_57_1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2018.8632524"},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.3390\/rs14163947"},{"key":"e_1_3_3_59_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rcim.2023.102592"}],"container-title":["International Journal of Production Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/00207543.2025.2543491","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,29]],"date-time":"2025-12-29T03:55:13Z","timestamp":1766980513000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00207543.2025.2543491"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,25]]},"references-count":58,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,1,2]]}},"alternative-id":["10.1080\/00207543.2025.2543491"],"URL":"https:\/\/doi.org\/10.1080\/00207543.2025.2543491","relation":{},"ISSN":["0020-7543","1366-588X"],"issn-type":[{"value":"0020-7543","type":"print"},{"value":"1366-588X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,8,25]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=tprs20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2025-01-18","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-07-26","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-08-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}