A Framework for Recommending Resource Allocation based on Process Mining

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dc.catalogadorvzp
dc.contributor.authorArias, Michael
dc.contributor.authorRojas, Eric
dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorSepúlveda Fernández, Marcos Ernesto
dc.date.accessioned2024-05-31T17:00:41Z
dc.date.available2024-05-31T17:00:41Z
dc.date.issued2016
dc.description.abstractDynamically allocating the most appropriate resource to execute the different activities of a business process is an important challenge in business process management. An ineffective allocation may lead to an inadequate resources usage, higher costs, or a poor process performance. Different approaches have been used to solve this challenge: data mining techniques, probabilistic allocation, or even manual allocation. However, there is a need for methods that support resource allocation based on multi-factor criteria. We propose a framework for recommending resource allocation based on Process Mining that does the recommendation at sub-process level, instead of activity-level. We introduce a resource process cube that provides a flexible, extensible and fine-grained mechanism to abstract historical information about past process executions. Then, several metrics are computed considering different criteria to obtain a final recommendation ranking based on the BPA algorithm. The approach is applied to a help desk scenario to demonstrate its usefulness.
dc.format.extent13 páginas
dc.fuente.origenConveris
dc.identifier.doi10.1007/978-3-319-42887-1_37
dc.identifier.issn1865-1348
dc.identifier.urihttps://doi.org/10.1007/978-3-319-42887-1_37
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86353
dc.identifier.wosidWOS:000387749900042
dc.information.autorucEscuela de Ingeniería; Muñoz Gama, Jorge; S/I; 249881
dc.information.autorucEscuela de Ingeniería; Sepúlveda Fernández, Marcos Ernesto; 0000-0002-9467-7666; 80415
dc.issue.numero1
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final470
dc.pagina.inicio458
dc.revistaLecture Notes in Business Information Processing
dc.rightsacceso restringido
dc.subject.ddc620
dc.subject.deweyIngeniería
dc.titleA Framework for Recommending Resource Allocation based on Process Mining
dc.typecomunicación de congreso
dc.volumen256
sipa.codpersvinculados249881
sipa.codpersvinculados80415
sipa.trazabilidadConveris;20-07-2021
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