
Analytical treatment of transport logistics business processes by the Process Mining technology
Author(s) -
А. А. Попов,
S N Masaev,
Д. А. Едимичев,
Oksana Pomolotova
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1679/2/022095
Subject(s) - event (particle physics) , business process , process (computing) , process mining , business , process management , business process modeling , computer science , marketing , work in process , physics , quantum mechanics , operating system
The purpose of the research is to analyze the business processes associated with goods movement through the warehouse of a transport company by the Process Mining method based on ProM software. This article describes the analytical treatment of the event log of goods movement through the warehouse of a transport company. A model of a business process based on an event log was built and analyzed. The result confirms the possibility of business processes analytical treatment based on the transport company’s event logs. Using this technology, you can analyze various logistics companies, identify errors in the processes and look for ways to eliminate them. The results of the research contain conclusions, recommendations, and options for further research of the transport company.