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Improving Airline Operations Efficiency via Flexible Business Process Management

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Service Research and Innovation (ASSRI 2018, ASSRI 2018)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 367))

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Abstract

This paper addresses the ASSRI-2018 Service Innovation Challenge case study relatine to inovation in the airline industry (available at: http://servicesciencesociety.org.au/downloads/ch.pdf). This paper offers a set of compelling examples motivating the need for on-the-fly generation of process instance variants. It then outlines a general approach that leverages some of our prior work on annotating process designs with expected post-conditions after every task [4] to position the variant generation problem as one of automated planning and intelligent search.

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Authors and Affiliations

  1. Decision Systems Lab, School of Computing and Information Technology, University of Wollongong, Wollongong, Australia

    Sumeet Kumar & Yingzhi Gou

Authors
  1. Sumeet Kumar
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  2. Yingzhi Gou
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Corresponding author

Correspondence to Yingzhi Gou .

Editor information

Editors and Affiliations

  1. CSIRO, Eveleigh, NSW, Australia

    Ho-Pun Lam

  2. University of Sydney, Sydney, NSW, Australia

    Sajib Mistry

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Kumar, S., Gou, Y. (2019). Improving Airline Operations Efficiency via Flexible Business Process Management. In: Lam, HP., Mistry, S. (eds) Service Research and Innovation. ASSRI ASSRI 2018 2018. Lecture Notes in Business Information Processing, vol 367. Springer, Cham. https://doi.org/10.1007/978-3-030-32242-7_14

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  • DOI: https://doi.org/10.1007/978-3-030-32242-7_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32241-0

  • Online ISBN: 978-3-030-32242-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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