Method for Applying Process Mining to the Distribution of Non-alcoholic Beverages

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dc.contributor.authorChamorro Ahumada, María Carolina
dc.contributor.authorMaturana Valderrama, Sergio
dc.date.accessioned2022-05-16T13:00:24Z
dc.date.available2022-05-16T13:00:24Z
dc.date.issued2013
dc.description.abstractNon-alcoholic beverage companies store a significant amount of data in their systems. However, by failing to convert this data into useful information for decision-making. Process mining aims to discover, monitor, and improve real processes by extracting knowledge from event logs available in current systems. This study provides a method for applying process mining to the distribution of non-alcoholic beverages, aiming to increase the quality of service delivered to customers by making the process more transparent. The method provides an orderly and practical guide of much of the knowledge that has been generated in the field of process mining. It allows for a comprehensive analysis by perspectives of process mining -- control-flow, organizational, cases, and performance -- following the L* life-cycle model stages. Additionally, it proposes recommendations and best practices in order to reduce the difficulty and costs, and improve the understanding of non-experts. The method is applied to the distribution process of a company in the non-alcoholic beverage bottling industry.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/SCCC.2013.26
dc.identifier.eisbn9781509004263
dc.identifier.isbn9781509004270
dc.identifier.issn1522-4902
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7814447
dc.identifier.urihttps://doi.org/10.1109/SCCC.2013.26
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63909
dc.information.autorucEscuela de ingeniería ; Chamorro Ahumada, María Carolina ; S/I ; 191733
dc.information.autorucEscuela de ingeniería ; Maturana Valderrama, Sergio ; S/I ; 61254
dc.language.isoen
dc.nota.accesoContenido parcial
dc.pagina.final115
dc.pagina.inicio111
dc.publisherIEEE
dc.relation.ispartofInternational Conference of the Chilean Computer Science Society (SCCC) (32° : 2013 : Temuco, Chile)
dc.rightsacceso restringido
dc.subjectData mining
dc.subjectCompanies
dc.subjectIndustries
dc.subjectPROM
dc.subjectAnalytical models
dc.subjectFrequency modulation
dc.subjectDecision making
dc.titleMethod for Applying Process Mining to the Distribution of Non-alcoholic Beverageses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados191733
sipa.codpersvinculados61254
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