{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,8]],"date-time":"2024-09-08T12:46:37Z","timestamp":1725799597188},"reference-count":0,"publisher":"ECMS","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,6,7]]},"abstract":"<jats:p>This paper reports a literature review on the Artificial Intelligence (AI) techniques applied in the field of production planning and scheduling and explores the synergistic integration of AI with simulation for enhancing production scheduling. Leveraging Microsoft Project Bonsai and AnyLogic, we present a case study that demonstrates the effectiveness of AI-driven simulation models in optimizing scheduling tasks. Our research highlights the potential of combining AI with traditional simulation methods. The results offer insights into the practical applications and future potential of AI in industrial automation and production management.<\/jats:p>","DOI":"10.7148\/2024-0034","type":"proceedings-article","created":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T15:15:37Z","timestamp":1721834137000},"page":"34-40","source":"Crossref","is-referenced-by-count":0,"title":["Combined use of ai techniques and simulation to support production scheduling: evidence from empirical research"],"prefix":"10.7148","author":[{"given":"Romeo","family":"Bandinelli","sequence":"first","affiliation":[]},{"given":"Virginia","family":"Fani","sequence":"additional","affiliation":[]}],"member":"4144","published-online":{"date-parts":[[2024,6,7]]},"event":{"name":"38th ECMS International Conference on Modelling and Simulation"},"container-title":["ECMS 2024 Proceedings edited by Daniel Grzonka, Natalia Rylko, Grazyna Suchacka, Vladimir Mityushev"],"original-title":[],"deposited":{"date-parts":[[2024,7,24]],"date-time":"2024-07-24T15:15:44Z","timestamp":1721834144000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scs-europe.net\/dlib\/2024\/2024-0034.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7148\/2024-0034","relation":{},"subject":[],"published":{"date-parts":[[2024,6,7]]}}}