Best Paper @ WCEAM 2017

4 August 2017: Congratulations to Georg Grossmann, Markus Stumptner, and their colleagues at the Queensland University of Technology for being awarded Best Paper at the 2017 World Congress on Engineering Asset Management (WCEAM). The paper Analysing an Industrial Safety Process through Process Mining: A Case Study uses data analytics and process mining to extract insights on the execution of safety processes from the logs of a ‘Permit to Work’ system of an Australian asset-intensive organisation.

  • [PDF] A. Pika, A. H. M. ter Hofstede, R. K. Perrons, G. Grossmann, M. Stumptner, and J. Cooley, “Analysing an Industrial Safety Process through Process Mining: A Case Study,” in Proceedings of the 12th World Congress on Engineering Asset Managment (WCEAM’17), 2017.
    [Bibtex]
    @INPROCEEDINGS{WCEAM17/PikaHPGSC,
      author = {Anastasiia Pika and Arthur H.M. ter Hofstede and Robert K. Perrons and 
              Georg Grossmann and Markus Stumptner and Jim Cooley},
      title = {Analysing an Industrial Safety Process through Process Mining: A Case Study},
      booktitle = {Proceedings of the 12th World Congress on Engineering Asset Managment (WCEAM'17)},
      year = 2017,
      publisher = {Springer},
      note = {in press},
    }

Post Revisions:

There are no revisions for this post.