{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T20:59:17Z","timestamp":1777323557736,"version":"3.51.4"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T00:00:00Z","timestamp":1670716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,11]],"date-time":"2022-12-11T00:00:00Z","timestamp":1670716800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,12,11]]},"DOI":"10.1109\/wsc57314.2022.10015402","type":"proceedings-article","created":{"date-parts":[[2023,1,23]],"date-time":"2023-01-23T20:11:54Z","timestamp":1674504714000},"page":"3110-3121","source":"Crossref","is-referenced-by-count":5,"title":["Dynamic Scheduling of Maintenance by a Reinforcement Learning Approach - A Semiconductor Simulation Study"],"prefix":"10.1109","author":[{"given":"Michael","family":"Geurtsen","sequence":"first","affiliation":[{"name":"Industrial Technology and Engineering Centre, Nexperia,Nijmegen,THE NETHERLANDS,6534AB"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ivo","family":"Adan","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology,Department of Industrial Engineering,Eindhoven,THE NETHERLANDS,5600 MB"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zumbul","family":"Atan","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology,Department of Industrial Engineering,Eindhoven,THE NETHERLANDS,5600 MB"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2018.8632251"},{"key":"ref2","article-title":"Production, Maintenance and Resource Scheduling: A Review","volume-title":"European Journal of Operational Research","author":"Geurtsen","year":"2022"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2016.7822316"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2004.01.052"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/00207540802555769"},{"key":"ref6","volume-title":"Stochastic Modelling and Analysis: A Computational Approach","author":"Tijms","year":"1986"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/0377-2217(94)00267-G"},{"key":"ref8","first-page":"10653","article-title":"Learning and Planning in Average-Reward Markov Decision Processes","volume-title":"38th International Conference on Machine Learning","author":"Wan","year":"2021"},{"issue":"3","key":"ref9","doi-asserted-by":"crossref","first-page":"279","DOI":"10.1007\/BF00992698","article-title":"Q-learning","volume":"8","author":"Watkins","year":"1992","journal-title":"Machine Learning"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/WSC.2014.7020080"}],"event":{"name":"2022 Winter Simulation Conference (WSC)","location":"Singapore","start":{"date-parts":[[2022,12,11]]},"end":{"date-parts":[[2022,12,14]]}},"container-title":["2022 Winter Simulation Conference (WSC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10015196\/10015230\/10015402.pdf?arnumber=10015402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T06:56:40Z","timestamp":1707807400000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10015402\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,11]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/wsc57314.2022.10015402","relation":{},"subject":[],"published":{"date-parts":[[2022,12,11]]}}}