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RUDNITCKAIA, J. HRUŠKA, T. NIKDO, N.
Original Title
Applying Process Mining to the Ship Handling Process at Oil Terminal
Type
conference paper
Language
English
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.
Keywords
- Data mining, - Logistics, - Measurement, - Marine vehicles, - Seaports, - Context modeling
Authors
RUDNITCKAIA, J.; HRUŠKA, T.; NIKDO, N.
Released
1. 8. 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" }