%0 Journal Article %1 journals/candie/YangYAESX23 %A Yang, Yanfang %A Yang, Miao %A Anwer, Nabil %A Eynard, Benoît %A Shu, Liang %A Xiao, Jinhua %D 2023 %J Comput. Ind. Eng. %K dblp %P 109398 %T A novel digital twin-assisted prediction approach for optimum rescheduling in high-efficient flexible production workshops. %U http://dblp.uni-trier.de/db/journals/candie/candie182.html#YangYAESX23 %V 182

@article{journals/candie/YangYAESX23, added-at = {2024-01-23T00:00:00.000+0100}, author = {Yang, Yanfang and Yang, Miao and Anwer, Nabil and Eynard, Benoît and Shu, Liang and Xiao, Jinhua}, biburl = {https://www.bibsonomy.org/bibtex/2b5c2c1e81edd7ea190b750c1fd156382/dblp}, ee = {https://doi.org/10.1016/j.cie.2023.109398}, interhash = {62f95008b60a5eed8f52b99b9b86eaca}, intrahash = {b5c2c1e81edd7ea190b750c1fd156382}, journal = {Comput. Ind. Eng.}, keywords = {dblp}, month = {August}, pages = 109398, timestamp = {2024-04-09T04:40:25.000+0200}, title = {A novel digital twin-assisted prediction approach for optimum rescheduling in high-efficient flexible production workshops.}, url = {http://dblp.uni-trier.de/db/journals/candie/candie182.html#YangYAESX23}, volume = 182, year = 2023 }