{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,15]],"date-time":"2026-04-15T16:24:28Z","timestamp":1776270268526,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031534447","type":"print"},{"value":"9783031534454","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-53445-4_1","type":"book-chapter","created":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T00:06:36Z","timestamp":1706918796000},"page":"3-14","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["An Architecture to Integrate Digital Twins and Machine Learning Operations"],"prefix":"10.1007","author":[{"given":"Arno H.","family":"van Bruggen","sequence":"first","affiliation":[]},{"given":"Karel","family":"Kruger","sequence":"additional","affiliation":[]},{"given":"Anton H.","family":"Basson","sequence":"additional","affiliation":[]},{"given":"Jacomine","family":"Grobler","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,2,3]]},"reference":[{"issue":"4","key":"1_CR1","doi-asserted-by":"publisher","first-page":"2405","DOI":"10.1109\/TII.2018.2873186","volume":"15","author":"F Tao","year":"2019","unstructured":"Tao, F., Zhang, H., Liu, A., Nee, A.Y.C.: Digital twin in industry: state-of-the-art. IEEE Trans. Ind. Inform. 15(4), 2405\u20132415 (2019). https:\/\/doi.org\/10.1109\/TII.2018.2873186","journal-title":"IEEE Trans. Ind. Inform."},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"21980","DOI":"10.1109\/ACCESS.2020.2970143","volume":"8","author":"A Rasheed","year":"2020","unstructured":"Rasheed, A., San, O., Kvamsdal, T.: Digital twin: values, challenges and enablers from a modeling perspective. IEEE Access 8, 21980\u201322012 (2020). https:\/\/doi.org\/10.1109\/ACCESS.2020.2970143","journal-title":"IEEE Access"},{"key":"1_CR3","doi-asserted-by":"publisher","first-page":"762","DOI":"10.1515\/auto-2019-0039","volume":"67","author":"B Ashtari Talkhestani","year":"2019","unstructured":"Ashtari Talkhestani, B., et al.: An architecture of an intelligent digital twin in a cyber-physical production system. At-Automatisierungstechnik 67, 762\u2013782 (2019). https:\/\/doi.org\/10.1515\/auto-2019-0039","journal-title":"At-Automatisierungstechnik"},{"key":"1_CR4","doi-asserted-by":"publisher","first-page":"63606","DOI":"10.1109\/access.2022.3181730","volume":"10","author":"M Testi","year":"2022","unstructured":"Testi, M., et al.: MLOps: a taxonomy and a methodology. IEEE Access 10, 63606\u201363618 (2022). https:\/\/doi.org\/10.1109\/access.2022.3181730","journal-title":"IEEE Access"},{"key":"1_CR5","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"412","DOI":"10.1007\/978-3-030-03003-2_32","volume-title":"Service Orientation in Holonic and Multi-Agent Manufacturing","author":"A Redelinghuys","year":"2019","unstructured":"Redelinghuys, A., Basson, A., Kruger, K.: A six-layer digital twin architecture for a manufacturing cell. In: Borangiu, T., Trentesaux, D., Thomas, A., Cavalieri, S. (eds.) SOHOMA 2018. SCI, vol. 803, pp. 412\u2013423. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-03003-2_32"},{"key":"1_CR6","unstructured":"Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication. A whitepaper by Dr. Michael Grieves, pp. 1\u20137 (2014)"},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"100383","DOI":"10.1016\/j.jii.2022.100383","volume":"30","author":"A Sharma","year":"2020","unstructured":"Sharma, A., Kosasih, E., Zhang, J., Brintrup, A., Calinescu, A.: Digital twins: state of the art theory and practice, challenges, and open research questions. J. Ind. Inf. Integr. 30, 100383 (2020). https:\/\/doi.org\/10.1016\/j.jii.2022.100383","journal-title":"J. Ind. Inf. Integr."},{"key":"1_CR8","doi-asserted-by":"publisher","first-page":"78658","DOI":"10.1109\/ACCESS.2021.3083060","volume":"9","author":"AB Nassif","year":"2021","unstructured":"Nassif, A.B., Talib, M.A., Nasir, Q., Dakalbab, F.M.: Machine learning for anomaly detection: a systematic review. IEEE Access 9, 78658\u201378700 (2021). https:\/\/doi.org\/10.1109\/ACCESS.2021.3083060","journal-title":"IEEE Access"},{"key":"1_CR9","doi-asserted-by":"publisher","first-page":"103796","DOI":"10.1016\/j.compind.2022.103796","volume":"144","author":"C Human","year":"2023","unstructured":"Human, C., Basson, A.H., Kruger, K.: A design framework for a system of digital twins and services. Comput. Ind. 144, 103796 (2023). https:\/\/doi.org\/10.1016\/j.compind.2022.103796","journal-title":"Comput. Ind."},{"key":"1_CR10","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1007\/978-3-030-99108-1_10","volume-title":"SOHOMA 2021","author":"K Kruger","year":"2022","unstructured":"Kruger, K., Human, C., Basson, A.: Towards the Integration of Digital Twins and Service-Oriented Architectures. In: Borangiu, T., Trentesaux, D., Leit\u00e3o, P., Cardin, O., Joblot, L. (eds.) SOHOMA 2021. SCI, vol. 1034, pp. 131\u2013143. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-99108-1_10"},{"key":"1_CR11","unstructured":"Google Cloud. MLOps: Continuous delivery and automation pipelines in machine learning. Cloud Architecture Center (2020). https:\/\/cloud.google.com\/architecture\/mlops-continuous-delivery-and-automation-pipelines-in-machine-learning. Accessed 25 May 2023"},{"key":"1_CR12","unstructured":"Van Bruggen, A.H.: Development of a digital twin architecture to support the integration of digital twins and machine learning operations. MEng Mechatronic Engineering Thesis, Stellenbosch University, South Africa (2023)"},{"key":"1_CR13","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-030-27477-1_13","volume-title":"Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future","author":"AJH Redelinghuys","year":"2020","unstructured":"Redelinghuys, A.J.H., Kruger, K., Basson, A.: A six-layer architecture for digital twins with aggregation. In: Borangiu, T., Trentesaux, D., Leit\u00e3o, P., Giret Boggino, A., Botti, V. (eds.) SOHOMA 2019. SCI, vol. 853, pp. 171\u2013182. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-27477-1_13"}],"container-title":["Studies in Computational Intelligence","Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-53445-4_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,3]],"date-time":"2024-02-03T00:07:28Z","timestamp":1706918848000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-53445-4_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031534447","9783031534454"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-53445-4_1","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"3 February 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOHOMA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Annecy","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sohoma2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/sohoma2023.sciencesconf.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}