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Authors: Joseph Barjis and Han Reichgelt

Affiliation: Georgia Southern University, United States

Abstract: In this paper we introduce a modeling methodology for the study of business processes, including their design, redesign, modeling, simulation and analysis. The methodology, called TOP, is based on the theoretical concept of a transaction which we derive from the Language Action Perspective (LAP). In particular, we regard business processes in an organization as patterns of communication between different actors to represent the underlying actions. TOP is supported by a set of extensions of basic Petri nets notations, resulting in a tool that can be used to build models of business processes and to analyze these models. The result is a more practical methodology for business process modeling and simulation.

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Paper citation in several formats:
Barjis, J. and Reichgelt, H. (2006). A Petri Net Based Methodology for Business Process Modeling and Simulation. In Proceedings of the 4th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems (ICEIS 2006) - MSVVEIS; ISBN 978-972-8865-49-8, SciTePress, pages 3-15. DOI: 10.5220/0002504700030015

@conference{msvveis06,
author={Joseph Barjis. and Han Reichgelt.},
title={A Petri Net Based Methodology for Business Process Modeling and Simulation},
booktitle={Proceedings of the 4th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems (ICEIS 2006) - MSVVEIS},
year={2006},
pages={3-15},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002504700030015},
isbn={978-972-8865-49-8},
}

TY - CONF

JO - Proceedings of the 4th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems (ICEIS 2006) - MSVVEIS
TI - A Petri Net Based Methodology for Business Process Modeling and Simulation
SN - 978-972-8865-49-8
AU - Barjis, J.
AU - Reichgelt, H.
PY - 2006
SP - 3
EP - 15
DO - 10.5220/0002504700030015
PB - SciTePress