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A Simulation-Based Process Evaluation Approach to Enterprise Business Process Intelligence

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Intelligent Computing (ICIC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4113))

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Abstract

In order to discover and manage enterprise businesses effectively, enterprise decision makers need to understand enterprise business processes from various aspects using sophisticated process simulation and analysis tools. Based on ABM technology (Activity-Based Management), this paper presents intelligent business process analysis concepts and metric measurement models for six kinds of process flows within manufacturing enterprises: activity flow, product flow, resource flow, cost flow, cash flow, and profit flow. The proposed process flow analysis approach has been developed as a dynamic enterprise process analysis tool within a process simulation and optimization environment.

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Author information

Authors and Affiliations

  1. Software Engineering Institute, Zhejiang Normal University, JinHua, Zhejiang, 321004, P.R. China

    Wen-An Tan & Anqiong Tang

  2. Integrated Manufacturing Technologies Institute, National Research Council of Canada, 800 Collip Circle, London, ON, N6G 4X8, Canada

    Wen-An Tan & Wei-ming Shen

Authors
  1. Wen-An Tan
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  2. Anqiong Tang
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  3. Wei-ming Shen
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Editor information

Editors and Affiliations

  1. Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, Anhui, China

    De-Shuang Huang

  2. Carnegie Mellon University,  

    Kang Li

  3. School of Electronics, Electrical Engineering and Computer Science, Queen’s University Belfast, Stranmillis Road, BT9 5AH, Belfast, UK

    George William Irwin

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© 2006 Springer-Verlag Berlin Heidelberg

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Tan, WA., Tang, A., Shen, Wm. (2006). A Simulation-Based Process Evaluation Approach to Enterprise Business Process Intelligence. In: Huang, DS., Li, K., Irwin, G.W. (eds) Intelligent Computing. ICIC 2006. Lecture Notes in Computer Science, vol 4113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11816157_116

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  • DOI: https://doi.org/10.1007/11816157_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-37271-4

  • Online ISBN: 978-3-540-37273-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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