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Automated Business Process Management

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Exploring Services Science (IESS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 247))

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Abstract

Business process management (BPM) activities can be divided into categories such as design, modelling, execution, monitoring, and optimization. Some of these activities are usually automated, mainly the first ones, where Automated Business Process Discovery (ABPD) solutions, also know as process mining, can automatically find process models (using unstructured, event-level logs). However, BPM usually involves several activities that are executed in different applications, which are not integrated with each other, or are even manually executed. This may involve the waste of resources and time, and eventually not applying BPM with full potential. We propose an integrated solution, that allows to complete the BPM cycle in a single application and with most of the steps automatically. This proposal was applied in practice in the context of a research project and the results are being integrated into a commercial product.

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Author information

Authors and Affiliations

  1. INOV INESC INOVAÇÃO, Rua Alves Redol, Lisbon, Portugal

    Carlos Mendes & Marcelo Silva

  2. Instituto Superior Técnico, Rua Alves Redol, Lisbon, Portugal

    Nuno Silva & Miguel Mira da Silva

Authors
  1. Carlos Mendes
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  2. Nuno Silva
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  3. Marcelo Silva
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  4. Miguel Mira da Silva
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Corresponding author

Correspondence to Carlos Mendes .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control & Computers, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. Faculty of Automatic Control & Computers, University Politehnica of Bucharest, Bucharest, Romania

    Monica Dragoicea

  3. Faculty of Engineering - FEUP, University of Porto, Porto, Portugal

    Henriqueta Nóvoa

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© 2016 Springer International Publishing Switzerland

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Mendes, C., Silva, N., Silva, M., da Silva, M.M. (2016). Automated Business Process Management. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-32689-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32688-7

  • Online ISBN: 978-3-319-32689-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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