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AI-driven quality control techniques in manufacturing processes to enhance Six Sigma approach

Ouassila Hioual et al.

International Journal of Six Sigma and Competitive Advantage2024https://doi.org/10.1504/ijssca.2024.10068753article
AJG 1
Weight
0.30

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https://doi.org/https://doi.org/10.1504/ijssca.2024.10068753

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@article{ouassila2024,
  title        = {{AI-driven quality control techniques in manufacturing processes to enhance Six Sigma approach}},
  author       = {Ouassila Hioual et al.},
  journal      = {International Journal of Six Sigma and Competitive Advantage},
  year         = {2024},
  doi          = {https://doi.org/https://doi.org/10.1504/ijssca.2024.10068753},
}

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AI-driven quality control techniques in manufacturing processes to enhance Six Sigma approach

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Evidence weight

0.30

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.