A business process intelligence system for enterprise process performance management

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DOIResolve DOI: http://doi.org/10.1109/TSMCC.2008.2001571
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TypeArticle
Journal titleIEEE Transactions on Systems, Man and Cybernetics, Part C.
Volume38
Issue6
Pages745756; # of pages: 12
Subjectdynamic enterprise process modeling, process performance evaluation, process measurement, flow analysis and prediction
AbstractThis paper presents a set of concepts and a methodology towards business process intelligence using dynamic process performance evaluation, including measurement models based on ABM (Activity Based Management) and a dynamic enterprise process performance evaluation methodology. The proposed measurement models support the analysis of six process flows within a manufacturing enterprise including activity flow, information flow, resource flow, cost flow, cash flow, and profit flow, which are crucial for enterprise managers to control the process execution quality and detect problems and areas for improvements. The proposed process performance evaluation methodology uses time, quality, service, cost, speed, efficiency, and importance as seven evaluation criteria. A prototype system supporting dynamic enterprise process modeling, analysis of six process flows, and process performance prediction has been implemented to validate the proposed methodology.
Publication date
LanguageEnglish
AffiliationNRC Institute for Research in Construction; National Research Council Canada
Peer reviewedYes
NRC number50553
19737
NPARC number20377940
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Record identifier9c11f307-1b03-45fd-9176-cba4ab7f2839
Record created2012-07-24
Record modified2016-05-09
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