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Process Mining Contributions to Discrete-event Simulation Modelling

Author

Listed:
  • Jadrić Mario

    (University of Split, Faculty of Economics, Business and Tourism, Split, Croatia)

  • Pašalić Ivana Ninčević

    (University of Split, Faculty of Economics, Business and Tourism, Split, Croatia)

  • Ćukušić Maja

    (University of Split, Faculty of Economics, Business and Tourism, Split, Croatia)

Abstract

Background: Over the last 20 years, process mining has become a vibrant research area due to the advances in data management technologies and techniques and the advent of new process mining tools. Recently, the links between process mining and simulation modelling have become an area of interest.

Suggested Citation

  • Jadrić Mario & Pašalić Ivana Ninčević & Ćukušić Maja, 2020. "Process Mining Contributions to Discrete-event Simulation Modelling," Business Systems Research, Sciendo, vol. 11(2), pages 51-72, October.
    • Handle: RePEc:bit:bsrysr:v:11:y:2020:i:2:p:51-72:n:5
    DOI: 10.2478/bsrj-2020-0015
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    References listed on IDEAS

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    1. Chen Zhong & Michael Batty & Ed Manley & Jiaqiu Wang & Zijia Wang & Feng Chen & Gerhard Schmitt, 2016. "Variability in Regularity: Mining Temporal Mobility Patterns in London, Singapore and Beijing Using Smart-Card Data," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-17, February.
    2. Cristina Pronello & Davide Longhi & Jean-Baptiste Gaborieau, 2018. "Smart Card Data Mining to Analyze Mobility Patterns in Suburban Areas," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    process mining; event log; simulation model; smart mobility;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management

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