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A business process intelligence system for enterprise process performance management

From National Research Council Canada

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DOIResolve DOI: https://doi.org/10.1109/TSMCC.2008.2001571
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Affiliation
  1. National Research Council of Canada. NRC Institute for Research in Construction
FormatText, Article
Subjectdynamic enterprise process modeling, process performance evaluation, process measurement, flow analysis and prediction
Abstract
This 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.
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  • IEEE Transactions on Systems, Man and Cybernetics, Part C 38, no. 6 (1 November 2008): 745–756.
LanguageEnglish
Peer reviewedYes
NRC numberNRCC 50553
NRC-IRC-19737
NPARC number20377940
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Record identifier9c11f307-1b03-45fd-9176-cba4ab7f2839
Record created2012-07-24
Record modified2020-04-15
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