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A statistical system management method to tackle data uncertainty when using key performance indicators of the balanced scorecard

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A statistical system management method to tackle data uncertainty when using key performance indicators of the balanced scorecard

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dc.contributor.author Sánchez-Márquez, Rafael es_ES
dc.contributor.author Albarracín Guillem, José Miguel es_ES
dc.contributor.author Vicens Salort, Eduardo es_ES
dc.contributor.author Jabaloyes Vivas, José Manuel es_ES
dc.date.accessioned 2019-08-01T20:00:59Z
dc.date.available 2019-08-01T20:00:59Z
dc.date.issued 2018 es_ES
dc.identifier.issn 0278-6125 es_ES
dc.identifier.uri http://hdl.handle.net/10251/124683
dc.description.abstract [EN] This work is focused on the development of a graphical method using statistical non-parametric tests for randomness and parametric tests to detect significant trends and shifts in key performance indicators from balanced scorecards. It provides managers and executives with a tool to determine if processes are improving or decaying. The method tackles the hitherto unresolved problem of data uncertainty due to sample size for key performance indicators on scorecards. The method has been developed and applied in a multinational manufacturing company using scorecard data from two complete years as a case study approach to test validity and effectiveness. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Journal of Manufacturing Systems es_ES
dc.rights Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) es_ES
dc.subject Key performance indicators (KPIs) es_ES
dc.subject Operating system (OS) es_ES
dc.subject Significant trend analysis (STA) es_ES
dc.subject Significant shift analysis (SSA) es_ES
dc.subject Manufacturing es_ES
dc.subject.classification ORGANIZACION DE EMPRESAS es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title A statistical system management method to tackle data uncertainty when using key performance indicators of the balanced scorecard es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.jmsy.2018.07.010 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Sánchez-Márquez, R.; Albarracín Guillem, JM.; Vicens Salort, E.; Jabaloyes Vivas, JM. (2018). A statistical system management method to tackle data uncertainty when using key performance indicators of the balanced scorecard. Journal of Manufacturing Systems. 48:166-179. https://doi.org/10.1016/j.jmsy.2018.07.010 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1016/j.jmsy.2018.07.010 es_ES
dc.description.upvformatpinicio 166 es_ES
dc.description.upvformatpfin 179 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 48 es_ES
dc.relation.pasarela 367748 es_ES


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