KPI tree - a hierarchical relationship structure of key performance indicators for value streams

dc.contributor.authorBumba, Albertopor
dc.contributor.authorGomes, Manuelpor
dc.contributor.authorJesus, Cristianopor
dc.contributor.authorLima, Rui M.por
dc.date.accessioned2023-09-01T09:49:41Z
dc.date.available2023-09-01T09:49:41Z
dc.date.issued2023
dc.date.updated2023-08-08T14:48:55Z
dc.description.abstractPerformance Measurement Systems (PMS) have been a potential answer to problems related to production systems monitoring, allowing the management and manipulation of data collected at various levels in organizations. PMS can be defined as a group of indicators in an information system. There are several types of PMS, however, the relationship between indicators in a PMS is still an issue that needs to be explored, as the KPIs in a production system are not independent and may have an intrinsic relationship. The purpose of this paper is to present a multilevel structure and its intrinsic structural relation for managing and analysing KPIs for a value stream production system. This hierarchical structure has different KPI levels such as Improvement KPIs, Monitoring KPIs, and Results KPIs or KPR (Key Performance Results), intrinsically related from the strategic levels to the operational levels. This provides a useful tool for the management of production systems, being used to analyse, and support the organization's continuous improvement processes.por
dc.description.sponsorshipThis Work was supported by the FCT – Fundação para a Ciência e Tecnologia, Portugal, within the Project Scope UIDB/00319/2020. C.J. has been supported by operation NORTE-06-3559-FSE-000226, funded by Norte Portugal Regional Operational Program (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Social Fund (ESF).por
dc.distributioninternationalpor
dc.identifier.citationBumba,A.,Gomes,M.,Jesus,C. & Lima,R.(3923).KPI tree - a hierarchical relationship structure of key performance indicators for value streams. Production Engineering Archives,29(2) 175-185. https://doi.org/10.30657/pea.2023.29.21por
dc.identifier.doi10.30657/pea.2023.29.21por
dc.identifier.eissn2353-7779
dc.identifier.issn2353-5156
dc.identifier.urihttps://hdl.handle.net/1822/86227
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherWalter de Gruyter GmbHpor
dc.relationinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00319%2F2020/PTpor
dc.relation.publisherversionhttps://sciendo.com/article/10.30657/pea.2023.29.21por
dc.rightsopenAccesspor
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/por
dc.subjectContinuous Improvementpor
dc.subjectKPI - Key Performance Indicatorspor
dc.subjectLean Productionpor
dc.subjectPerformance Measurement Systempor
dc.subjectValue stream performancepor
dc.subject.fosCiências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.wosScience & Technology
dc.titleKPI tree - a hierarchical relationship structure of key performance indicators for value streamspor
dc.typearticlepor
dspace.entity.typePublicationen
oaire.citationEndPage185por
oaire.citationIssue2por
oaire.citationStartPage175por
oaire.citationVolume29por
oaire.versionVoRpor
sdum.export.identifier12691
sdum.journalProduction Engineering Archivespor

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