Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Wen-Wu Shi"'
Publikováno v:
Carbon. 192:485
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fadf6bd597408df98f7977fd4aa039d
https://doi.org/10.1016/j.carbon.2022.02.075
https://doi.org/10.1016/j.carbon.2022.02.075
Publikováno v:
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 231:1479-1487
The production control of failure-prone manufacturing systems is notoriously difficult because such systems are uncertain and non-linear. Since the introduction of hedging-point policies, many researches have been done in this field. However, there a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::25648b97892f5007e314ad8bb5da2fc1
https://doi.org/10.1177/0954405415598941
https://doi.org/10.1177/0954405415598941
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 26:2591-2607
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b96519e30c99c90a2a52f51cb48dfb1
https://doi.org/10.3233/ifs-130930
https://doi.org/10.3233/ifs-130930
Publikováno v:
Journal of Intelligent Manufacturing. 21:665-680
Manufacturing systems are usually restricted by one or more bottlenecks. Identification of bottleneck is a key factor to improving the throughput of a production system. However, locating the bottleneck is no easy task. This paper proposes a novel me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d70fc5287a0ab7221419cff4be48b27
https://doi.org/10.1007/s10845-009-0244-3
https://doi.org/10.1007/s10845-009-0244-3
Publikováno v:
International Journal of Industrial Engineering; 2017, Vol. 24 Issue 3, p306-327, 22p
Publikováno v:
2005 International Conference on Machine Learning and Cybernetics.
A new method of early fault diagnosis for manufacturing system based on machine learning is presented. It is necessary for manufacturing enterprises to detect the states of production process in real time, in order to find the early faults in machine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::498ee6d12ae5867561131ee0a8dc6a93
https://doi.org/10.1109/icmlc.2005.1527507
https://doi.org/10.1109/icmlc.2005.1527507
Autor:
Yu-Fan Wu1 wuyufan@ntut.edu.tw
Publikováno v:
Journal of Library & Information Studies. Jun2023, Vol. 23 Issue 1, p35-65. 31p.
Publikováno v:
2005 International Conference on Machine Learning & Cybernetics; 2005, p3271-3271, 1p
Publikováno v:
International Journal of Production Research. Sep2018, Vol. 56 Issue 18, p6147-6163. 17p. 3 Diagrams, 6 Charts, 6 Graphs.
Publikováno v:
Asian Archaeology; Jun2023, Vol. 7 Issue 1, p63-80, 18p