المؤلفون: Schuh, Günther, Prote, Jan-Philipp, Molitor, Marco, Sauermann, Frederick Christian, Schmitz, Seth

المصدر: Procedia manufacturing 31, 356-362 (2019). doi:10.1016/j.promfg.2019.03.056 special issue: "Research. Experience. Education. 9th Conference on Learning Factories 2019 (CLF 2019), Braunschweig, Germany / Edited by Christoph Herrmann, Sebastian Thiede" ; Research. Experience. Education. 9. Conference on Learning Factories 2019 , Braunschweig, Germany, 23.3- 28.03.2019, CLF 2019, Braunschweig, Germany, 2019-03-23 - 2019-03-28

مصطلحات موضوعية: info:eu-repo/classification/ddc/620, Data analytics in production, Databased learning, Feature selection, Transition times

جغرافية الموضوع: DE

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000471040300056; info:eu-repo/semantics/altIdentifier/issn/2351-9789; https://publications.rwth-aachen.de/record/761338; https://publications.rwth-aachen.de/search?p=id:%22RWTH-2019-04770%22

الاتاحة: https://publications.rwth-aachen.de/record/761338
https://publications.rwth-aachen.de/search?p=id:%22RWTH-2019-04770%22

المؤلفون: Frederick Sauermann, Jan-Philipp Prote, Marco Molitor, Günther Schuh, Seth Schmitz

المصدر: Procedia manufacturing 31, 356-362 (2019). doi:10.1016/j.promfg.2019.03.056 special issue: "Research. Experience. Education. 9th Conference on Learning Factories 2019 (CLF 2019), Braunschweig, Germany / Edited by Christoph Herrmann, Sebastian Thiede"
Research. Experience. Education. 9. Conference on Learning Factories 2019, Braunschweig, Germany, 23.3-28.03.2019, CLF 2019, Braunschweig, Germany, 2019-03-23-2019-03-28

مصطلحات موضوعية: 0209 industrial biotechnology, Databased learning, Computer science, Process (engineering), Data analytics in production, Feature selection, 02 engineering and technology, Manufacturing systems, Industrial and Manufacturing Engineering, Manufacturing engineering, Product (business), 020303 mechanical engineering & transports, 020901 industrial engineering & automation, 0203 mechanical engineering, Transition times, Artificial Intelligence, Order (exchange), Production (economics), Factory (object-oriented programming), ddc:620, Throughput (business)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acf0c175322ac7e24d4b1e47b7425f91
https://doi.org/10.1016/j.promfg.2019.03.056

المؤلفون: Zhang, Yingfeng, Ma, Shuaiyin, Yang, Haidong, Lv, Jingxiang, Liu, Yang

مصطلحات الفهرس: Energy-intensive manufacturing industries; Big data analytics; Cleaner production; Data mining, Energy Systems, Energisystem, Article in journal, info:eu-repo/semantics/article, text

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150839
Journal of Cleaner Production, 0959-6526, 2018, 197, s. 57-72