Evidence map›Paper›PMID 36687284›Full record

ArticleProcedia computer science2023

Exploring the Role of Industry 4.0 and Simulation as a Solution to the COVID-19 Outbreak: a Literature Review.

Giovanni Mirabelli, Letizia Nicoletti, Antonio Padovano, Vittorio Solina, Karen Althea Manfredi, Antonio Nervoso

Abstract read
In one paragraph

Article in Procedia computer science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

6 authors.

Giovanni MirabelliUniversity of Calabria, Ponte Pietro Bucci 45C, 87036 Arcavacata di Rende (CS), Italy.
Letizia NicolettiCAL-TEK Srl, Via Spagna 240-242, 87036 Rende, Italy.
Antonio PadovanoUniversity of Calabria, Ponte Pietro Bucci 45C, 87036 Arcavacata di Rende (CS), Italy.
Vittorio SolinaUniversity of Calabria, Ponte Pietro Bucci 45C, 87036 Arcavacata di Rende (CS), Italy.
Karen Althea ManfrediUniversity of Calabria, Ponte Pietro Bucci 45C, 87036 Arcavacata di Rende (CS), Italy.
Antonio NervosoUniversity of Calabria, Ponte Pietro Bucci 45C, 87036 Arcavacata di Rende (CS), Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic was an unexpected and disruptive event that significantly affected the performance of manufacturing systems and supply chains in various sectors. In this paper, a literature review is provided, which investigates the role that Industry 4.0 technologies and simulation tools have played in addressing the effects of the pandemic crisis. Specifically, a bibliometric analysis provides an overview of the most influential technologies through a study of the most used keywords. While a document analysis, conducted on critical papers that concern real case studies, shows that so far simulation provided support in four main areas: energy consumption, healthcare supply chain & contact tracing, food supply chain, and in general supply chain management. The main outcome of this research work is that Industry 4.0 technologies and simulation models were particularly important during the pandemic crisis and their properties deserve to be deeply exploited in the near future.

Indexed as

Covid-19Industry 4.0Literature ReviewSimulationSupply Chain Management

Identifiers

PMID36687284
PMCPMC9836494

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.