... ,” arXiv preprint arXiv:1412.6980. smart manufacturing job shop problems priority dispatching rule machine learning reinforcement learning graph neural networks process planning sustainable manufacturing National Institute of Standards and Technology 10.13039/100000161...

...Tianyue Wang; Bingtao Hu; Yixiong Feng; Xiaoxie Gao; Chen Yang; Jianrong Tan The vigorous development of the human cyber-physical system (HCPS) and the next generation of artificial intelligence provide new ideas for smart manufacturing, where manufacturing quality prediction is an important issue...

...Junming Fan; Pai Zheng; Carman K. M. Lee Human–robot collaboration (HRC) has been identified as a highly promising paradigm for human-centric smart manufacturing in the context of Industry 5.0. In order to enhance both human well-being and robotic flexibility within HRC, numerous research efforts...

... 08 04 2022 smart manufacturing machine learning sheet metal forming blanking data mining wear detection Advanced sheet metal forming processes are a widely used manufacturing technique in the automotive and aerospace industry. As the standards of today’s industry increase...

.... 23 12 2021 25 02 2022 25 02 2022 08 04 2022 smart manufacturing data-driven dynamics frequency response function few-shot regression Industry 4.0 machine tool dynamics machining processes sensing monitoring and diagnostics U.S. Department of Commerce...

... , 1 will also be predicted accordingly. Email: jh3ex@virginia.edu Email: qc9nq@virginia.edu Email: george.yu.qian@gmail.com Email: jorge.arinez@gm.com continuous improvement factory cloud global production machine learning smart manufacturing computer-integrated...

... and is not subject to copyright protection in the United States. Approved for public release; distribution is unlimited. 09 12 2019 13 04 2020 13 04 2020 11 08 2020 distributed manufacturing systems discrete manufacturing smart manufacturing industry 4.0 use cases control...