Publication result 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

Paper in proceedings (conference paper)

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

Key words in English

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

Authors

RUDNITCKAIA, J.; HRUŠKA, T.; NIKDO, N.

RIV year

2020

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

Pages from

552

Pages to

557

Pages count

6

URL

https://ieeexplore.ieee.org/abstract/document/8780305

BibTex

@inproceedings{BUT159974,
  author="RUDNITCKAIA, J. and HRUŠKA, T. and NIKDO, N.",
  title="Applying Process Mining to the Ship Handling Process at Oil Terminal",
  booktitle="Conference on Industrial Cyber Physical Systems",
  year="2019",
  series="IEEEXplore",
  pages="552--557",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Taipei",
  doi="10.1109/ICPHYS.2019.8780305",
  isbn="978-1-5386-8500-6",
  url="https://ieeexplore.ieee.org/abstract/document/8780305"
}

Documents

Applying Process Mining to the Ship Handling