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2021-12-30Zeitschriftenartikel DOI: 10.18452/26618
Fire now, fire later: alarm-based systems for prescriptive process monitoring
dc.contributor.authorFahrenkrog-Petersen, Stephan A.
dc.contributor.authorTax, Niek
dc.contributor.authorTeinemaa, Irene
dc.contributor.authorDumas, Marlon
dc.contributor.authorde Leoni, Massimiliano
dc.contributor.authorMaggi, Fabrizio Maria
dc.contributor.authorWeidlich, Matthias
dc.date.accessioned2023-05-26T08:03:54Z
dc.date.available2023-05-26T08:03:54Z
dc.date.issued2021-12-30none
dc.date.updated2023-03-24T20:21:04Z
dc.identifier.issn0219-1377
dc.identifier.urihttp://edoc.hu-berlin.de/18452/27317
dc.description.abstractPredictive process monitoring is a family of techniques to analyze events produced during the execution of a business process in order to predict the future state or the final outcome of running process instances. Existing techniques in this field are able to predict, at each step of a process instance, the likelihood that it will lead to an undesired outcome. These techniques, however, focus on generating predictions and do not prescribe when and how process workers should intervene to decrease the cost of undesired outcomes. This paper proposes a framework for prescriptive process monitoring, which extends predictive monitoring with the ability to generate alarms that trigger interventions to prevent an undesired outcome or mitigate its effect. The framework incorporates a parameterized cost model to assess the cost–benefit trade-off of generating alarms. We show how to optimize the generation of alarms given an event log of past process executions and a set of cost model parameters. The proposed approaches are empirically evaluated using a range of real-life event logs. The experimental results show that the net cost of undesired outcomes can be minimized by changing the threshold for generating alarms, as the process instance progresses. Moreover, introducing delays for triggering alarms, instead of triggering them as soon as the probability of an undesired outcome exceeds a threshold, leads to lower net costs.eng
dc.description.sponsorshipEstonian Research Competency Council http://dx.doi.org/10.13039/501100005189
dc.description.sponsorshipH2020 European Research Council http://dx.doi.org/10.13039/100010663
dc.language.isoengnone
dc.publisherHumboldt-Universität zu Berlin
dc.rights(CC BY 4.0) Attribution 4.0 Internationalger
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectProcess miningeng
dc.subjectProcess monitoringeng
dc.subjectPrescriptive process monitoringeng
dc.subject.ddc005 Computerprogrammierung, Computerprogramme, Datennone
dc.titleFire now, fire later: alarm-based systems for prescriptive process monitoringnone
dc.typearticle
dc.identifier.urnurn:nbn:de:kobv:11-110-18452/27317-2
dc.identifier.doihttp://dx.doi.org/10.18452/26618
dc.type.versionpublishedVersionnone
local.edoc.pages29none
local.edoc.type-nameZeitschriftenartikel
local.edoc.container-typeperiodical
local.edoc.container-type-nameZeitschrift
dc.description.versionPeer Reviewednone
dc.identifier.eissn0219-3116
dcterms.bibliographicCitation.doi10.1007/s10115-021-01633-wnone
dcterms.bibliographicCitation.journaltitleKnowledge and information systemsnone
dcterms.bibliographicCitation.volume64none
dcterms.bibliographicCitation.issue2none
dcterms.bibliographicCitation.originalpublishernameSpringernone
dcterms.bibliographicCitation.originalpublisherplaceLondonnone
dcterms.bibliographicCitation.pagestart559none
dcterms.bibliographicCitation.pageend587none
bua.departmentMathematisch-Naturwissenschaftliche Fakultätnone

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