Real-time process quality control for business activity monitoring

Bokyoung Kang, Seung Kyung Lee, Yeong Bin Min, Suk Ho Kang, Nam Wook Cho

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper proposes a real-time process quality control methodology for Business Activity Monitoring by estimating the risk level (RL) and its confidence intervals (CIs) of an ongoing process. We formulate algorithms to estimate RL and CIs as a continuous measure, based on the partial information of the ongoing process. By using the proposed method, RL and CIs can be estimated in real-time during process execution, so as to effectively control the process quality. Furthermore, it is feasible to generate early warnings based on the status of RL and CIs. We also provided experiments to compare the proposed method with existing approaches, which showed that the proposed method can detect the risks of the ongoing process more precisely and even earlier than existing approaches.

Original languageEnglish
Title of host publicationProceedings of the 2009 International Conference on Computational Science and Its Applications, ICCSA 2009
Pages237-242
Number of pages6
DOIs
StatePublished - 2009
Event2009 International Conference on Computational Science and Its Applications, ICCSA 2009 - Yongin, Korea, Republic of
Duration: 29 Jun 20092 Jul 2009

Publication series

NameProceedings of the 2009 International Conference on Computational Science and Its Applications, ICCSA 2009

Conference

Conference2009 International Conference on Computational Science and Its Applications, ICCSA 2009
Country/TerritoryKorea, Republic of
CityYongin
Period29/06/092/07/09

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