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Agent-Based Simulation for Evaluating Flexible and Agile Business Processes: Separating Knowledge Rules, Process Rules and Information Resources

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Enterprise and Organizational Modeling and Simulation (EOMAS 2010)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 63))

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Abstract

In today’s ever changing environment organizations need flexibility and agility to be able to deal with changes. Flexibility is necessary to adapt to changes in their environment, whilst agility is needed to rapidly response to changing customer demands. In this paper a mechanism based on the separation of knowledge rules, process rules and information resources is proposed to enhance the flexibility and agility of business processes. Agent-based simulation is employed to test and evaluate if the necessary flexibility and agility can be created using these mechanisms. In the agent-based simulation the clients and organization entities are simulated, whilst the separation of knowledge rules, process rules and information sources is implemented. Three changes have been evaluated using the simulation. Flexibility and agility proved to be dependent on good system design based on the separation of knowledge rules, process rules and information sources, as well as on the human resources and capabilities executing tasks. Agent-based simulation proved to be a suitable tool for evaluating the level of flexibility and agility prior to real implementation.

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Authors and Affiliations

  1. Faculty of Technology, Policy and Management, Delft University of Technology, Jaffalaan 5, 2628 BX, Delft, The Netherlands

    Yiwei Gong & Marijn Janssen

Authors
  1. Yiwei Gong
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  2. Marijn Janssen
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Editors and Affiliations

  1. Delft Unitersity of Technology, Jaffalaan 5, 2628, Delft, BX, The Netherlands

    Joseph Barjis

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Gong, Y., Janssen, M. (2010). Agent-Based Simulation for Evaluating Flexible and Agile Business Processes: Separating Knowledge Rules, Process Rules and Information Resources. In: Barjis, J. (eds) Enterprise and Organizational Modeling and Simulation. EOMAS 2010. Lecture Notes in Business Information Processing, vol 63. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15723-3_4

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  • DOI: https://doi.org/10.1007/978-3-642-15723-3_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15722-6

  • Online ISBN: 978-3-642-15723-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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