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The Formalization of a Generic Trading Company Model Using Software Agents as Active Elements

Author

Listed:
  • Dominik Vymetal

    (Institute of Interdisciplinary Research, Silesian University)

  • Sohei Ito

    (Department of Fisheries Distribution and Management, National Fisheries University)

Abstract

Business environment simulation often requires unique knowledge based on the modeler’s experience. However, even experience based simulation models need some extent of abstraction and formalization in order to achieve results that are expected. Business process simulation models usually incorporate several essential components such as the model of trading functions that reflect customer behavior, procurement functions for modeling company inputs and the optimization of production & logistics functions. When modeling management decisions, a management function model with a loopback to company economic outputs is also needed. As a solid foundation of such complex business simulations, an abstract multi-agent architecture of a trading company model is proposed. The abstract model is inhabited with active entities – software agents and a method of registering their actions in a simulation run log is proposed. This approach combines the basic notions of abstract agent archi tectures with process mining methodology. Finally, the correctness of our software-agent system is verified and a validation is provided showing that the proposed system fits the real data company outputs.

Suggested Citation

  • Dominik Vymetal & Sohei Ito, 2016. "The Formalization of a Generic Trading Company Model Using Software Agents as Active Elements," Working Papers 0029, Silesian University, School of Business Administration.
    • Handle: RePEc:opa:wpaper:0029
    as

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    References listed on IDEAS

    as
    1. Weigand, Hans & Elsas, Philip, 2012. "Model-based auditing using REA," International Journal of Accounting Information Systems, Elsevier, vol. 13(3), pages 287-310.
    2. Ito, Sohei & Vymetal, Dominik, 2011. "Formal REA model at operational level," MPRA Paper 34766, University Library of Munich, Germany.
    3. Vymetal, Dominik & Ježek, Filip, 2014. "Demand function and its role in a business simulator," MPRA Paper 54716, University Library of Munich, Germany.
    4. F. Gailly & G. Poels, 2007. "Towards Ontology-driven Information Systems: Redesign and Formalization of the REA Ontology," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 07/445, Ghent University, Faculty of Economics and Business Administration.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Sohei Ito & Dominik Vymětal & Roman Šperka & Michal Halaška, 2018. "Process mining of a multi-agent business simulator," Computational and Mathematical Organization Theory, Springer, vol. 24(4), pages 500-531, December.

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    More about this item

    Keywords

    formal models; business process simulation; software agents; process mining; behavioral patterns;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software
    • D29 - Microeconomics - - Production and Organizations - - - Other
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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