The Formalization of a Generic Trading Company Model Using Software Agents as Active Elements
Dominik Vymetal and
Sohei Ito ()
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Sohei Ito: Department of Fisheries Distribution and Management, National Fisheries University
No 29, Working Papers from Silesian University, School of Business Administration
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.
Keywords: formal models; business process simulation; software agents; process mining; behavioral patterns (search for similar items in EconPapers)
JEL-codes: C63 C88 D29 M15 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cmp and nep-ore
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