Cited by 39Digital Transformation in IndustryRobotic Process Automation ApplicationsImpact of AI and Big Data on Business and Society

Digital Twinning for Productivity Improvement Opportunities with Robotic Process Automation: Case of Greenfield Hospital

Open access
Liu, Weibo, Zhang, Wei, Dutta, Bapi, Wu, Zhenyong, Goh, Mark·2020·International Journal of Mechanical Engineering and Robotics Research

Integrity signals

Registry

Crossref · 10.18178/ijmerr.9.2.258-263

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Liu et al. (2020) reported that optimization was met in the hospital supply chain system and thus cutting building operational costs, operational uncertainties, and tight budgetary constraints.

    “The study by Liu et al. (2020) reported that optimization was met in the hospital supply chain system and thus cutting building operational costs, operational uncertainties, and tight budgetary constraints.”

    From A review of digital twin applications in construction (2022) · cites this paper as Liu et al., 2020

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Liu, W., Zhang, W., Dutta, B., Wu, Z., & Goh, M.
Venue
International Journal of Mechanical Engineering and Robotics Research
Published
2020
Pages
258-263
ISSN
2278-0149 (ISSN-L)
OpenAlex
W3024308198
Cited by
39
References
6
Citations by year
2026: 3 · 2025: 7 · 2024: 10 · 2023: 2 · 2022: 12 · 2021: 4 · 2020: 1
FWCI
2.88
Type
journal article
Language
en
Open access
Licence
cc-by-nc-nd
Locations
International Journal of Mechanical Engineering and Robotics Research (publishedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
  • Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Robotic Process Automation Applications
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
digital twin, robotic process automation, productivity improvement, hospital operations, healthcare process optimization

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review