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Dynamic Business Process Simulation - A Rule- and Context- Based Approach

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Information and Software Technologies (ICIST 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 639))

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Abstract

Business processes are dynamic by their nature, because of changes of their environment and customers’ needs. Therefore, their supporting information systems should be dynamic as well. Although a number of approaches have been proposed to dynamic business process (DBP) modelling, there is lack of theory, implementation or both. This paper proposes a novel rule- and context- based approach of DBP modelling and simulation. The main idea of the approach is that the sequence of activities in a process depends on the environment, which is described as a context of a BP, and activities are selected according to the defined rules at BP instance runtime. The effectiveness of the proposed approach is evaluated with a simulation scenario, and the simulation results indicate that the proposed approach is suitable for DBP simulation.

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Notes

  1. 1.

    http://www-03.ibm.com/software/products/en/modeler-advanced.

  2. 2.

    http://simprocess.com.

  3. 3.

    http://www.simul8.com.

  4. 4.

    http://bpmgeek.com/accuprocess-business-process-modeler.

  5. 5.

    http://www.softwareag.com/corporate/products/new_releases/aris9/more_capabilities/default.asp.

  6. 6.

    Information Systems Research Laboratory, Institute of Applied Computer Science, Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, http://fm.vgtu.lt/faculties/departments/institute-of-applied-computer-science/departaments/information-systems-research-laboratory/73139.

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Acknowledgments

The authors would like to thank the personnel of ISRL (see Footnote 6) for participating in the rule- and context-based DBP simulation system prototype development.

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Correspondence to Diana Kalibatiene .

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Kalibatiene, D., Vasilecas, O. (2016). Dynamic Business Process Simulation - A Rule- and Context- Based Approach. In: Dregvaite, G., Damasevicius, R. (eds) Information and Software Technologies. ICIST 2016. Communications in Computer and Information Science, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-46254-7_16

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  • DOI: https://doi.org/10.1007/978-3-319-46254-7_16

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