Evidence map›Paper›PMID 38603290›Full record

ArticleConcurrent engineering, research, and applications2022

The role of industry 4.0 technologies in overcoming pandemic challenges for the manufacturing sector.

Parham Dadash Pour, Mohammad A Nazzal, Basil M Darras

RetractedAbstract read
In one paragraph

Article in Concurrent engineering, research, and applications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Retraction · 2023-09-10Concerns/Issues about Third Party Involvement · Compromised Peer Review · Investigation by Journal/Publisher · Unreliable Results and/or Conclusions ·
5 · Who and what money

Authors and funding

3 authors.

Parham Dadash PourMechanical Engineering Department, American University of Sharjah, Sharjah, UAE.
Mohammad A NazzalMechanical Engineering Department, American University of Sharjah, Sharjah, UAE.ORCID https://orcid.org/0000-0002-0475-0752
Basil M DarrasMechanical Engineering Department, American University of Sharjah, Sharjah, UAE.ORCID https://orcid.org/0000-0001-5097-6034

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industry 4.0 aims to revolutionize the manufacturing sector to achieve sustainable and efficient production. The novel coronavirus pandemic has brought many challenges in different industries globally. Shortage in supply of raw material, changes in product demand, and factories closures due to general lockdown are all examples of such challenges. The adaption of Industry 4.0 technologies can address these challenges and prevent their recurrence in case of another pandemic outbreak in future. A prominent advantage of Industry 4.0 technologies is their capability of building resilient and flexible systems that are responsive to exceptional circumstances such as unpredictable market demand, supply chain interruptions, and manpower shortage which can be crucial at times of pandemics. This work focuses on discussing how different Industry 4.0 technologies such as Cyber Physical Systems, Additive Manufacturing, and Internet of Things can help the manufacturing sector overcome pandemics challenges. The role of Industry 4.0 technologies in raw material provenance identification and counterfeit prevention, collaboration and business continuity, agility and decentralization of manufacturing, crisis simulation, elimination of single point of failure risk, and other factors is discussed. Moreover, a self-assessment readiness model has been developed to help manufacturing firms determine their readiness level for implementing different Industry 4.0 technologies.

Indexed as

cloud computingCOVID 19cyber physical systemsindustry 4.0internet of things

Identifiers

PMID38603290
PMCPMC9096009

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.