Publication Details
Applying Process Mining to the Ship Handling Process at Oil Terminal
- Data mining,
- Logistics,
- Measurement,
- Marine vehicles,
- Seaports,
- Context modeling
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.
@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"
}