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Using Simulation in Business Process Analysis and Risk Management: The Blood Bank Case Study

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Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 947))

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Abstract

Risks are part of every business activity and risk management is therefore essential in organizing business for success. Our paper describes a methodological framework for identifying and managing risks in the context of business process analysis. The method includes business process modeling and simulation not only to organize activities but also to locate errors and manage risks. Simulating business processes supports managers in compliance analysis by investigating different scenarios of norms and regulations. We adopt as a case study an healthcare application where risk management is even more important, because errors not only increase costs, reduce quality, and lead to delays, but can also lead to serious damages. This work demonstrate how to afford risk management by using modeling and computational simulation, also by improving regulatory compliance.

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Notes

  1. 1.

    Cfr. Cittá della Salute e della Scienza, http://www.cittadellasalute.to.it.

  2. 2.

    https://www.jointcommission.org/sentinel_event_policy_and_procedures/.

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Acknowledgements

We are grateful for the collaboration of the “City of Health and Science” of Torino (Italy). This research was conducted in the project “CANP - CAsa Nel Parco” of Regione Piemonte funded by POR FESR PIEMONTE 2014-2020.

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Authors and Affiliations

  1. Computer Science Department, University of Torino, 185 Corso Svizzera, Torino, Italy

    Ilaria Angela Amantea, Antonio Di Leva & Emilio Sulis

Authors
  1. Ilaria Angela Amantea
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  2. Antonio Di Leva
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  3. Emilio Sulis
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Corresponding author

Correspondence to Emilio Sulis .

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Editors and Affiliations

  1. King Abdullah II School of Information Technology, University of Jordan, Amman, Jordan

    Mohammad S. Obaidat

  2. School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada

    Tuncer Ören

  3. University of Calabria, Rende, Cosenza, Italy

    Floriano De Rango

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Amantea, I.A., Di Leva, A., Sulis, E. (2020). Using Simulation in Business Process Analysis and Risk Management: The Blood Bank Case Study. In: Obaidat, M., Ören, T., Rango, F. (eds) Simulation and Modeling Methodologies, Technologies and Applications. SIMULTECH 2018. Advances in Intelligent Systems and Computing, vol 947. Springer, Cham. https://doi.org/10.1007/978-3-030-35944-7_2

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