Repository logo
 
Publication

OSH Empowerment of Portuguese Agri-food MSMEs Through the Application of Computational Tools of Risks Assessment

2020Book part Restricted access
Simple item page
dc.contributor.authorGaspar, Pedro Dinis
dc.contributor.authorLima, T. M.
dc.date.accessioned2020-07-13T14:55:41Z
dc.date.available2020-07-13T14:55:41Z
dc.date.issued2020
dc.description.abstractThe Agri-food Industry is the largest Portuguese Industry, constituted mainly by micro, small and medium enterprises (MSMEs). Occupational Safety and Health (OSH) conditions in an agri-food MSME have its own characteristics depending on the specific food sector. This condition makes the prevention strategies implementation difficult and heightens the problematic of work accidents. In this chapter are described online and offline free computational tools developed to perform OSH risks assessment in the dairy, meat processing, bakery and horticultural subsectors. The tools provide a simple and expedite diagnostic of occupational hazards and risks. Depending on the input data, the tools output identifies successful practices and easy-to-implement solutions for occupational risk prevention. These computational tools aim to empower Portuguese agri-food SMEs to implement innovative OSH management practices in order to prevent work accidents.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/978-3-030-41486-3_81pt_PT
dc.identifier.isbn978-3-030-41486-3
dc.identifier.urihttp://hdl.handle.net/10400.6/10374
dc.language.isoengpt_PT
dc.publisherSpringerpt_PT
dc.subjectAgri-food industrypt_PT
dc.subjectOccupational health and safetypt_PT
dc.subjectMSMEspt_PT
dc.subjectComputational toolspt_PT
dc.subjectOiRA toolpt_PT
dc.titleOSH Empowerment of Portuguese Agri-food MSMEs Through the Application of Computational Tools of Risks Assessmentpt_PT
dc.typebook part
dspace.entity.typePublication
oaire.citation.volume277pt_PT
person.familyNameGaspar
person.familyNameLima
person.givenNamePedro Dinis
person.givenNameTânia
person.identifier1710267
person.identifier.ciencia-id6111-9F05-2916
person.identifier.ciencia-id771E-3B60-A936
person.identifier.orcid0000-0003-1691-1709
person.identifier.orcid0000-0002-7540-3854
person.identifier.ridN-3016-2013
person.identifier.ridV-5052-2017
person.identifier.scopus-author-id57419570900
person.identifier.scopus-author-id48661120000
rcaap.embargofctCopyright cedido à editora no momento da publicaçãopt_PT
rcaap.rightsclosedAccesspt_PT
rcaap.typebookPartpt_PT
relation.isAuthorOfPublicationb69e2ba0-43af-4cf7-873e-090fd9fc6c94
relation.isAuthorOfPublicationef58bc1e-8e06-46cc-93e3-bba8e6ed8388
relation.isAuthorOfPublication.latestForDiscoveryef58bc1e-8e06-46cc-93e3-bba8e6ed8388

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LCS0013.pdf
Size:
190.51 KB
Format:
Adobe Portable Document Format
Download

Collections

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