Evidence map›Paper›PMID 33082617›Full record

ArticleJournal of manufacturing systems2021

Reconfiguring and ramping-up ventilator production in the face of COVID-19: Can robots help?

Ali Ahmad Malik, Tariq Masood, Rehana Kousar

Abstract read
In one paragraph

Article in Journal of manufacturing systems, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  5. Article
  6. Article
  7. Review
  8. New IT driven rapid manufacturing for emergency response.Journal of manufacturing systems · 2021
    Article
  9. Article
  10. Article
  11. Article
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  13. Article
  14. Robots Under COVID-19 Pandemic: A Comprehensive Survey.IEEE access : practical innovations, open solutions · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ali Ahmad MalikSiemens Gamesa Renewable Energy, Brande, Denmark.
Tariq MasoodInstitute for Manufacturing, Department of Engineering, University of Cambridge, 17 Charles Babbage Road, Cambridge, CB3 0FS, UK.
Rehana KousarCambridge Global Challenges Strategic Research Initiative, University of Cambridge, JJ Thompson Road, Cambridge, CB3 0FS, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the COVID-19 pandemic expands, the shortening of medical equipment is swelling. A key piece of equipment getting far-out attention has been ventilators. The difference between supply and demand is substantial to be handled with normal production techniques, especially under social distancing measures in place. The study explores the rationale of human-robot teams to ramp up production using advantages of both the ease of integration and maintaining social distancing. The paper presents a model for faster integration of collaborative robots and design guidelines for workstations. The scenario is evaluated for an open source ventilator through continuous human-robot simulation and amplification of results in a discrete event simulation.

Indexed as

CobotCollaborative robotCOVID-19GuidelinesPandemicProductionRamp-upReconfigureRobotSimulationSocial distancingVentilatorWorkstation design

Identifiers

PMID33082617
PMCPMC7556855

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.