arbiter
JournalsPricingAccount

Hybrid genetic algorithm and digital twin for OEE optimization for industrial robots

Ruixu Liang et al.

Journal of Intelligent Manufacturing2026https://doi.org/10.1007/s10845-025-02787-yarticle
AJG 1ABDC B
Weight
0.50

What the paper says

No abstract available.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1007/s10845-025-02787-y

Or copy a formatted citation

@article{ruixu2026,
  title        = {{Hybrid genetic algorithm and digital twin for OEE optimization for industrial robots}},
  author       = {Ruixu Liang et al.},
  journal      = {Journal of Intelligent Manufacturing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1007/s10845-025-02787-y},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Hybrid genetic algorithm and digital twin for OEE optimization for industrial robots

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

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

F · citation impact0.50 × 0.4 = 0.20
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.