Evidence map›Paper›PMID 36532704›Full record

ReviewJournal of intelligent manufacturing2022

Collaborative approaches in sustainable and resilient manufacturing.

Luis M Camarinha-Matos, Andre Dionisio Rocha, Paula Graça

Abstract readReview
In one paragraph

Review in Journal of intelligent manufacturing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Luis M Camarinha-MatosSchool of Science and Technology and Uninova-CTS, NOVA University of Lisbon, Campus de Caparica, Caparica, 2829-516 Portugal.ORCID 0000-0003-0594-1961
Andre Dionisio RochaSchool of Science and Technology and Uninova-CTS, NOVA University of Lisbon, Campus de Caparica, Caparica, 2829-516 Portugal.ORCID https://orcid.org/0000-0003-0874-7099
Paula GraçaSchool of Science and Technology and Uninova-CTS, NOVA University of Lisbon, Campus de Caparica, Caparica, 2829-516 Portugal.ORCID https://orcid.org/0000-0002-6413-6527

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, the manufacturing sector is going through a major transformation, as reflected in the concept of Industry 4.0 and digital transformation. The urge for such transformation is intensified when we consider the growing societal demands for sustainability. The notion of sustainable manufacturing has emerged as a result of this trend. Additionally, industries and the whole society face the challenges of an increasing number of disruptive events, either natural or human-caused, that can severely affect the normal operation of systems. Furthermore, the growing interconnectivity between organizations, people, and physical systems, supported by recent developments in information and communication technologies, highlights the important role that collaborative networks can play in the digital transformation processes. As such, this article analyses potential synergies between the areas of sustainable and resilient manufacturing and collaborative networks. The work also discusses how the responsibility for the various facets of sustainability can be distributed among the multiple entities involved in manufacturing. The study is based on a literature survey, complemented with the experience gained from various research projects and related initiatives in the area, and is organized according to various dimensions of Industry 4.0. A brief review of proposed approaches and indicators for measuring sustainability from the networked manufacturing perspective is also included. Finally, a set of key research challenges are identified to complement strategic research agendas in manufacturing.

Indexed as

Collaborative networksDigital transformationIndustry 4.0Industry 5.0ResilienceSustainability indicatorsSustainable manufacturing

Identifiers

PMID36532704
PMCPMC9734423

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.