The Faculty of Maritime Studies and Transport
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Traffic Technology and Logistics

Information Support of Logistics


Core content includes: Knowledge of importance, role and types of business information systems for logistics, types of supply chain information support, information and intelligent systems designed for traffic, transportation and logistics support/use, decision support tools and technologies, business intelligence tools and technologies, cloud computing - logistics cloud, Internet of Things concept, Big Data concept and Data Analytics, blockchain technology and Artificial Intelligence in logistics.

In the exercises, students get acquainted with and try to use various information and software systems, different simulation programs, neural networks and project management programs that are used in practice to support logistics activities.


Goals and competencies

Students should be familiar with the information tools and technologies used to efficiently carry out various logistics activities along the supply chain, and thus be able to identify the basic characteristics, methods and examples of use, as well as the reasons for using a particular form of information systems or other IT tools intended for these purposes.

During the exercises, students will learn to handle and use examples of such systems that are already included or will be included in everyday transport and logistics companies.

Basic literature

  1. KRMAC, Evelin. Informacijski sistemi v logistiki. Portorož: Univerza v Ljubljani, Fakulteta za pomorstvo in promet, 2020.
  2. VATOVEC KRMAC, Evelin. Intelligent value chain networks: business intelligence and other ICT tools and technologies in supply/demand chains. V: RENKO, Sandra (ur.). Supply chain management - new perspectives. Rijeka: InTech, 2011, 2011, str. 581-614. Skupaj 769 strani. ( ISBN 978-953-307-633-1.)
  3. Vsa ostala knjižna in spletna gradiva na temo informacijske tehnologije v transportu, prometu in logistiki.