D 2024

Analysis of the Strengths of Process Mining Techniques in the Optimization of Logistics Processes

DOLÁK, Radim, Michal HALAŠKA and Jakub CHMELÍČEK

Basic information

Original name

Analysis of the Strengths of Process Mining Techniques in the Optimization of Logistics Processes

Authors

DOLÁK, Radim, Michal HALAŠKA and Jakub CHMELÍČEK

Edition

Cham, Business Modeling and Software Design. BMSD 2024, p. 3-15, 13 pp. 2024

Publisher

Springer

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Germany

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

Organization unit

School of Business Administration in Karvina

ISBN

978-3-031-64072-8

DOI

http://dx.doi.org/10.1007/978-3-031-64073-5_1

Keywords in English

Process Mining; Logistics; BPM

Tags

International impact, Reviewed
Changed: 7/3/2025 12:59, Ing. Radim Dolák, Ph.D.

Abstract

V originále

The paper analyzes the adequacy and strengths of Process Mining techniques for logistics process optimization. The theoretical part of the paper will mention the main benefits of utilizing Process Mining techniques for logistics processes. In this, we refer to related work and analyze theoretical aspects concerning Process Mining techniques in general and their utilization for logistics processes. The practical part will be in the form of a case study. It will describe all necessary steps of Process Mining, such as the acquisition of data, preparing dataset, importing and analyzing data from a logistics software tool. The primary goal is to use Process Mining software based on the Disco tool to identify flaws and potentially improper operations in the chosen logistics process.
Displayed: 10/3/2025 14:53