Publication detail

Applying Process Mining to the Ship Handling Process at Oil Terminal

RUDNITCKAIA, J. HRUŠKA, T. NIKDO, N.

Original Title

Applying Process Mining to the Ship Handling Process at Oil Terminal

English Title

Applying Process Mining to the Ship Handling Process at Oil Terminal

Type

conference paper

Language

en

Original Abstract

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.

English abstract

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.

Keywords

   - Data mining,    - Logistics,    - Measurement,    - Marine vehicles,    - Seaports,    - Context modeling

Released

01.08.2019

Publisher

Institute of Electrical and Electronics Engineers

Location

Taipei

ISBN

978-1-5386-8500-6

Book

Conference on Industrial Cyber Physical Systems

Edition

IEEEXplore

Edition number

NEUVEDEN

Pages from

552

Pages to

557

Pages count

6

URL

Documents

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"
}