Publication
Literature review for sample size analysis in time studies
| dc.contributor.author | Silva, Maria Isabel | |
| dc.contributor.author | Vaz, Clara B. | |
| dc.date.accessioned | 2023-03-01T14:39:06Z | |
| dc.date.available | 2023-03-01T14:39:06Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | An important method related to Lean strategies is Hoshin Kanri which combines operation and strategic management in order to solve both short and long-term problems in companies. Time studies are an effective way in order to apply this method. This paper regards to literature review in time studies of a process. In the literature review, two approaches of defining a sample size are presented: statistical analysis and conventional guide’s method, both currently used in some companies. Future analysis of the data collected in a company’s production line is devoted to verify whether or not the sample size is adequate, using both methods presented in this work. | pt_PT |
| dc.description.sponsorship | This work has been supported by FCT—Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Silva, Maria Isabel; Vaz, Clara B. (2022). Literature review for sample size analysis in time studies. In 2nd Symposium of Applied Science for Young Researchers. Viana do Castelo | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10198/27374 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Hoshin kanri | pt_PT |
| dc.subject | Lean manufacturing | pt_PT |
| dc.subject | Sample size | pt_PT |
| dc.title | Literature review for sample size analysis in time studies | pt_PT |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.citation.conferencePlace | Viana do Castelo | pt_PT |
| oaire.citation.title | 2nd Symposium of Applied Science for Young Researchers | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Vaz | |
| person.givenName | Clara B. | |
| person.identifier | R-001-FQC | |
| person.identifier.ciencia-id | 9611-3386-E516 | |
| person.identifier.orcid | 0000-0001-9862-6068 | |
| person.identifier.rid | F-1519-2016 | |
| person.identifier.scopus-author-id | 56352045500 | |
| 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 | conferenceObject | pt_PT |
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