Repository logo
 
Publication

A Fuzzy Logic-Based Selection Approach to Select Suitable Industry 4.0 Tools for Ergonomic Risk Mitigation: Application to the Portuguese Wine Sector

2023Book part Restricted access
Simple item page
dc.contributor.authorFreitas, António A.
dc.contributor.authorLima, Tânia M.
dc.contributor.authorGaspar, Pedro Dinis
dc.date.accessioned2024-01-25T16:31:58Z
dc.date.available2024-01-25T16:31:58Z
dc.date.issued2023
dc.description.abstractIndustry 4.0 (I4.0) reveals a special relevance for the Portuguese industry as it represents a major opportunity to overcome the main competitive barriers. On the other hand, organizational expansion frequently leads to an increase in work-related accidents, resulting in needless increases in financial expenses. For this reason, the integration of I4.0 tools is a recommended way to gain benefits, including improvements both in productivity and occupational risk mitigation. This work proposes a fuzzy logic approach in a decision-making method for the selection of suitable I4.0 tools for minimizing ergonomic risks. The method is based on the results of an ergonomic risk assessment performed from the point of view of energy expenditure during task execution, which has already been characterized and studied by several authors. As a result, ergonomic risk assessment allows the estimation of ergonomic load related to productive process activities. The results obtained from the I4.0 tool selection method provided viable solutions both operationally and in terms of minimizing ergonomic risks, strongly suggesting the implementation of autonomous systems, namely automated integrated systems and autonomous robots, and also suggesting the incorporation of other I4.0 tools in tasks that require specific human intervention, such as cobots, exoskeletons, and lifting systems.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-031-12547-8_16pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.6/14159
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.relationCentre for Mechanical and Aerospace Science and Technologies
dc.subjectRisk Assessmentpt_PT
dc.subjectSelection methodpt_PT
dc.subjectDecision supportpt_PT
dc.subjectMetabolic energypt_PT
dc.subjectManufacturing processespt_PT
dc.titleA Fuzzy Logic-Based Selection Approach to Select Suitable Industry 4.0 Tools for Ergonomic Risk Mitigation: Application to the Portuguese Wine Sectorpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleCentre for Mechanical and Aerospace Science and Technologies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT
oaire.citation.endPage197pt_PT
oaire.citation.startPage179pt_PT
oaire.citation.titleSpringer Nature Switzerlandpt_PT
oaire.citation.volume449pt_PT
oaire.fundingStream6817 - DCRRNI ID
person.familyNameFreitas
person.familyNameLima
person.familyNameGaspar
person.givenNameAntonio
person.givenNameTânia
person.givenNamePedro Dinis
person.identifier2132873
person.identifier1710267
person.identifier.ciencia-id301D-FB40-85C7
person.identifier.ciencia-id771E-3B60-A936
person.identifier.ciencia-id6111-9F05-2916
person.identifier.orcid0000-0002-7422-3763
person.identifier.orcid0000-0002-7540-3854
person.identifier.orcid0000-0003-1691-1709
person.identifier.ridV-5052-2017
person.identifier.ridN-3016-2013
person.identifier.scopus-author-id48661120000
person.identifier.scopus-author-id57419570900
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.embargofctCopyright cedido à editorapt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublication3b92b8c2-d223-4bd5-92c3-f558eb6f8f1c
relation.isAuthorOfPublicationef58bc1e-8e06-46cc-93e3-bba8e6ed8388
relation.isAuthorOfPublicationb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isAuthorOfPublication.latestForDiscoveryb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isProjectOfPublicationc1aeadcb-d7fa-4d70-959a-2447dc0b2276
relation.isProjectOfPublication.latestForDiscoveryc1aeadcb-d7fa-4d70-959a-2447dc0b2276

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
CLS09.pdf
Size:
16.68 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

FE - DEM | Documentos por Auto-Depósito
ICI - C-MAST | Documentos por Auto-Depósito