Publication
Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm
| dc.contributor.author | Freitas, António A. | |
| dc.contributor.author | Lima, Tânia M. | |
| dc.contributor.author | Gaspar, Pedro Dinis | |
| dc.date.accessioned | 2024-01-26T11:32:48Z | |
| dc.date.available | 2024-01-26T11:32:48Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In the wine industry, task planning is based on decision-making processes that are influenced by technical and organizational constraints as well as regulatory limitations. A characteristic constraint inherent to this sector concerns occupational risks, in which companies must reduce and mitigate work-related accidents, resulting in lower operating costs and a gain in human, financial, and material efficiency. This work proposes a task scheduling optimization model using a methodology based on the ant colony optimization approach to mitigate the ergonomic risks identified in general winery production processes by estimating the metabolic energy expenditure during the execution of tasks. The results show that the tasks were reorganized according to their degree of ergonomic risk, preserving an acceptable priority sequence of tasks with operational affinity and satisfactory efficiency from the point of view of the operationalization of processes, while the potential ergonomic risks are simultaneously minimized by the rotation and alternation of operative teams between those tasks with higher and lower values of metabolic energy required. We also verified that tasks with lower ergonomic-load requirements influence the reorganization of the task sequence by lowering the overall value of metabolic energy, which is reflected in the reduction of the ergonomic load. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | : Freitas, A.A.; Lima, T.M.; Gaspar, P.D. Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm. Processes 2022, 10, 1364. https:// doi.org/10.3390/pr10071364 | pt_PT |
| dc.identifier.doi | 10.3390/pr10071364 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.6/14169 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | MDPI | pt_PT |
| dc.relation | Centre for Mechanical and Aerospace Science and Technologies | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Ant colony optimization | pt_PT |
| dc.subject | Risk assessment | pt_PT |
| dc.subject | Optimization model | pt_PT |
| dc.subject | Task planning | pt_PT |
| dc.subject | Metabolic energy expenditure | pt_PT |
| dc.subject | Winery | pt_PT |
| dc.title | Ergonomic Risk Minimization in the Portuguese Wine Industry: A Task Scheduling Optimization Method Based on the Ant Colony Optimization Algorithm | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Centre for Mechanical and Aerospace Science and Technologies | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00151%2F2020/PT | |
| oaire.citation.issue | 7 | pt_PT |
| oaire.citation.startPage | 1364 | pt_PT |
| oaire.citation.title | Processes | pt_PT |
| oaire.citation.volume | 10 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Freitas | |
| person.familyName | Lima | |
| person.familyName | Gaspar | |
| person.givenName | Antonio | |
| person.givenName | Tânia | |
| person.givenName | Pedro Dinis | |
| person.identifier | 2132873 | |
| person.identifier | 1710267 | |
| person.identifier.ciencia-id | 301D-FB40-85C7 | |
| person.identifier.ciencia-id | 771E-3B60-A936 | |
| person.identifier.ciencia-id | 6111-9F05-2916 | |
| person.identifier.orcid | 0000-0002-7422-3763 | |
| person.identifier.orcid | 0000-0002-7540-3854 | |
| person.identifier.orcid | 0000-0003-1691-1709 | |
| person.identifier.rid | V-5052-2017 | |
| person.identifier.rid | N-3016-2013 | |
| person.identifier.scopus-author-id | 48661120000 | |
| person.identifier.scopus-author-id | 57419570900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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