Evidence map›Paper›PMID 36643766›Full record

ArticleScientific African2023

Intelligent manufacturing eco-system: A post COVID-19 recovery and growth opportunity for manufacturing industry in Sub-Saharan countries.

Tsegay T Mezgebe, Mulualem G Gebreslassie, Hailekiros Sibhato, Solomon T Bahta

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific African, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Tsegay T MezgebeManufacturing Engineering Chair, Ethiopian Institute of Technology-Mekelle, Mekelle University, P.O.Box 231, Mekelle, Ethiopia.
Mulualem G GebreslassieCenter of Energy, Ethiopian Institute of Technology-Mekelle, Mekelle University, P.O.Box 231, Mekelle, Ethiopia.
Hailekiros SibhatoIndustrial Systems Chair, Ethiopian Institute of Technology-Mekelle, Mekelle University, P.O.Box 231, Mekelle, Ethiopia.
Solomon T BahtaCenter of Energy, Ethiopian Institute of Technology-Mekelle, Mekelle University, P.O.Box 231, Mekelle, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lagging behind intelligent technologies and the COVID-19 pandemic together have impacted the emerging economy particularly the manufacturing sector in sub-Saharan countries. This paper systematically discusses intelligent manufacturing technologies with an aim to map out their importance and industrial applicability and to show their significance to contain COVID-19 pandemic. Intelligent Manufacturing Systems (IMS) is then adapted as a post COVID-19 recovery and growth opportunity to ensemble to production processes of manufacturing industry in the sub-Saharan countries. Proposition of a Triple Helix Collaboration Eco-system that delineate a recursive contribution of Government(s), academia, and industry accompanies the IMS adoption. The intention is to shape the existing industrial challenges through networking in the area of intelligence technologies. While proposing the Eco-system, a post COVID-19 recovery and growth opportunity and intra-Africa scientific collaborations are taken into account.

Indexed as

AcademiaCOVID-19 pandemicIntelligent manufacturingManufacturing industryRecoverySub-Saharan

Identifiers

PMID36643766
PMCPMC9826537

What OpenQuestion holds

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Registered trials

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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.