Detail publikace

Applying Process Mining to the Ship Handling Process at Oil Terminal

RUDNITCKAIA, J. HRUŠKA, T. NIKDO, N.

Originální název

Applying Process Mining to the Ship Handling Process at Oil Terminal

Anglický název

Applying Process Mining to the Ship Handling Process at Oil Terminal

Jazyk

en

Originální abstrakt

Logistics processes are characterized by a high degree of complexity, dynamics, diversity, and human-centricity. The reasons are manifold - product complexity, unexpected events (such as strikes, weather conditions, accidents, etc.), and the high number of participants in the logistics processes. Improving our understanding and making the process more transparent can help to avoid risks and increase performance. The main purpose of this paper is to show a practical application of process mining in the specific domain of seaport terminals. We apply process mining techniques to real port data and discover process models without a priori knowledge. A new framework for the improvement of process mining results using context-aware information in terms of seaports is proposed.

Anglický abstrakt

Logistics processes are characterized by a high degree of complexity, dynamics, diversity, and human-centricity. The reasons are manifold - product complexity, unexpected events (such as strikes, weather conditions, accidents, etc.), and the high number of participants in the logistics processes. Improving our understanding and making the process more transparent can help to avoid risks and increase performance. The main purpose of this paper is to show a practical application of process mining in the specific domain of seaport terminals. We apply process mining techniques to real port data and discover process models without a priori knowledge. A new framework for the improvement of process mining results using context-aware information in terms of seaports is proposed.

Dokumenty

BibTex


@inproceedings{BUT159974,
  author="Julia {Rudnitckaia} and Tomáš {Hruška}",
  title="Applying Process Mining to the Ship Handling Process at Oil Terminal",
  annote="Logistics processes are characterized by a high degree of complexity, dynamics,
diversity, and human-centricity. The reasons are manifold - product complexity,
unexpected events (such as strikes, weather conditions, accidents, etc.), and the
high number of participants in the logistics processes. Improving our
understanding and making the process more transparent can help to avoid risks and
increase performance. The main purpose of this paper is to show a practical
application of process mining in the specific domain of seaport terminals. We
apply process mining techniques to real port data and discover process models
without a priori knowledge. A new framework for the improvement of process mining
results using context-aware information in terms of seaports is proposed.",
  address="Institute of Electrical and Electronics Engineers",
  booktitle="Conference on Industrial Cyber Physical Systems",
  chapter="159974",
  doi="10.1109/ICPHYS.2019.8780305",
  edition="IEEEXplore",
  howpublished="online",
  institution="Institute of Electrical and Electronics Engineers",
  year="2019",
  month="august",
  pages="552--557",
  publisher="Institute of Electrical and Electronics Engineers",
  type="conference paper"
}