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Article: The design of intelligent workflow monitoring with agent technology

TitleThe design of intelligent workflow monitoring with agent technology
Authors
KeywordsIntelligent Agent
Workflow Management System
Workflow Monitoring
Issue Date2005
PublisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/knosys
Citation
Knowledge-Based Systems, 2005, v. 18 n. 6, p. 257-266 How to Cite?
AbstractIn recent years, workflow technology has been widely used in business process management. With the increased complexity, uncertainty and risks in business operations, workflow monitoring is gaining growing attention in business process controlling and supervision. However, monitoring functions provided in traditional workflow systems lack flexibility, and provide little support for managing complex and dynamical changes in business process. In this paper, we propose a novel workflow monitoring approach, in which various intelligent agents work together to perform flexible monitoring tasks in an autonomous and collaborative way. By using customized monitoring plan and proactive monitoring process, the workflow monitoring activities can be executed flexibly and efficiently. The application of intelligent agents for such flexible, adaptive and collaborative workflow monitoring is investigated through an intelligent monitoring system in securities trading. © 2005 Elsevier B.V. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/175393
ISSN
2015 Impact Factor: 3.325
2015 SCImago Journal Rankings: 2.140
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Men_US
dc.contributor.authorWang, Hen_US
dc.contributor.authorXu, Den_US
dc.date.accessioned2012-11-26T08:58:38Z-
dc.date.available2012-11-26T08:58:38Z-
dc.date.issued2005en_US
dc.identifier.citationKnowledge-Based Systems, 2005, v. 18 n. 6, p. 257-266en_US
dc.identifier.issn0950-7051en_US
dc.identifier.urihttp://hdl.handle.net/10722/175393-
dc.description.abstractIn recent years, workflow technology has been widely used in business process management. With the increased complexity, uncertainty and risks in business operations, workflow monitoring is gaining growing attention in business process controlling and supervision. However, monitoring functions provided in traditional workflow systems lack flexibility, and provide little support for managing complex and dynamical changes in business process. In this paper, we propose a novel workflow monitoring approach, in which various intelligent agents work together to perform flexible monitoring tasks in an autonomous and collaborative way. By using customized monitoring plan and proactive monitoring process, the workflow monitoring activities can be executed flexibly and efficiently. The application of intelligent agents for such flexible, adaptive and collaborative workflow monitoring is investigated through an intelligent monitoring system in securities trading. © 2005 Elsevier B.V. All rights reserved.en_US
dc.languageengen_US
dc.publisherElsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/knosysen_US
dc.relation.ispartofKnowledge-Based Systemsen_US
dc.subjectIntelligent Agenten_US
dc.subjectWorkflow Management Systemen_US
dc.subjectWorkflow Monitoringen_US
dc.titleThe design of intelligent workflow monitoring with agent technologyen_US
dc.typeArticleen_US
dc.identifier.emailWang, M: magwang@hku.hken_US
dc.identifier.authorityWang, M=rp00967en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/j.knosys.2004.04.012en_US
dc.identifier.scopuseid_2-s2.0-24144479434en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-24144479434&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume18en_US
dc.identifier.issue6en_US
dc.identifier.spage257en_US
dc.identifier.epage266en_US
dc.identifier.isiWOS:000232123200002-
dc.publisher.placeNetherlandsen_US
dc.identifier.scopusauthoridWang, M=8723779700en_US
dc.identifier.scopusauthoridWang, H=7501731748en_US
dc.identifier.scopusauthoridXu, D=7404074069en_US

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