Applied logistics
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 342-6515/01 |
| Abbreviation | AL |
| Course title | Applied logistics |
| Credits | 5 |
| Coordinating department | Institute of Transport |
| Course coordinator | prof. Ing. Aleš Slíva, Ph.D. Paed.IGIP |
Osnova předmětu
Extension of the multi-criteria carrier evaluation model with additional criteria
For example, incorporating the environmental footprint of transportation, long-term price stability, or the level of digitalization of the provider’s logistics processes.
Implementation of advanced analytical tools
Such as the use of simulation models or predictive analytics for planning transport capacities and identifying potential logistical risks.
Integration of logistics information systems (e.g., TMS, WMS, ERP)
Enabling automated transport planning, more efficient inventory management, and better coordination between warehouses, carriers, and customers.
Expansion of the logistics model to include the international supply chain
Including optimization of multimodal transport (combining maritime, air, and road transport).
Utilization of modern Logistics 4.0 technologies
Such as IoT sensors, GPS tracking, or big data analytics, which enable real-time shipment monitoring and increase the transparency of logistics processes.
Analysis and optimization of transport routes
Evaluation of current transport routes and proposal of their optimization to reduce costs and shorten delivery times.
More detailed economic analysis of transport outsourcing
For example, sensitivity analysis considering changes in fuel prices, transport volumes, or logistics service costs.
Incorporation of environmental criteria into carrier evaluation
For example, CO₂ emissions, the use of more environmentally friendly vehicles, or vehicle load efficiency.
For example, incorporating the environmental footprint of transportation, long-term price stability, or the level of digitalization of the provider’s logistics processes.
Implementation of advanced analytical tools
Such as the use of simulation models or predictive analytics for planning transport capacities and identifying potential logistical risks.
Integration of logistics information systems (e.g., TMS, WMS, ERP)
Enabling automated transport planning, more efficient inventory management, and better coordination between warehouses, carriers, and customers.
Expansion of the logistics model to include the international supply chain
Including optimization of multimodal transport (combining maritime, air, and road transport).
Utilization of modern Logistics 4.0 technologies
Such as IoT sensors, GPS tracking, or big data analytics, which enable real-time shipment monitoring and increase the transparency of logistics processes.
Analysis and optimization of transport routes
Evaluation of current transport routes and proposal of their optimization to reduce costs and shorten delivery times.
More detailed economic analysis of transport outsourcing
For example, sensitivity analysis considering changes in fuel prices, transport volumes, or logistics service costs.
Incorporation of environmental criteria into carrier evaluation
For example, CO₂ emissions, the use of more environmentally friendly vehicles, or vehicle load efficiency.
E-learning
N/A
Povinná literatura
Doporučená literatura
Wohlbier, R., H.: Bulk Handling in Open Mines and Quarries, 1986, ISBN
0878490655.
Slíva, A. Základy logistiky/Fundamental Logistics
0878490655.
Slíva, A. Základy logistiky/Fundamental Logistics