The Strategic Research Area Logistics 4.0 represents an innovative approach to managing and optimizing logistical processes in the automotive industry by leveraging modern information and communication technologies. This field focuses on the integration of components such as artificial intelligence, automation, robotics, and the Internet of Things (IoT) to create intelligent, connected, and flexible logistics systems that support manufacturing and distribution.

Automation and Robotics: Logistics 4.0 includes the expanded deployment of robots and automated guided vehicles (AGVs) in production lines and warehouses, which increases efficiency and reduces human labor in monotonous and demanding tasks.

Advanced Information Systems: Central data platforms that collect and analyze large volumes of data from various parts of the logistics chain enable better planning and forecasting of production and distribution needs.

Internet of Things (IoT): IoT technologies provide real-time monitoring of inventory, machine status, and allow assets to communicate with each other, contributing to the optimization of the entire logistics chain.

Integrated Logistics: Logistics 4.0 systems support the integration of intra-company and inter-company logistics, enabling smooth collaboration between suppliers, manufacturing plants, and distribution centers.

The goal of Logistics 4.0 in the automotive industry is to achieve a higher level of automation, increase the flexibility of manufacturing processes, and improve accuracy in inventory management and supply chains, leading to cost reductions and increased efficiency. This field requires strong collaboration among manufacturers, logistics companies, technology suppliers, and IT experts to achieve full integration and automation of processes.

Contact:

Ing. Jaroslav Kašpárek, Ph.D.

Projects:

1. The use of construction and demolition waste for the production of cement composites with a solidifying effect and a reduced impact on the environment

2. Research and Development of New Technologies for Innovative Services in Sustainable Logistics 4.0

Industrial cooperation:

Main Results:

Dissertation topics:

• Optimalizační algoritmus pro příhradové ocelové konstrukce

• Vlivy výrobních tolerancí profilů nosníků na nosné konstrukce

• Bezpečnostní rizika smart technologií v silniční nákladní dopravě 

• Simulace změn velikostí částic materiálů 

Publications:

1. MERGL, V.; ZEIZINGER, L.; KOMÁNEK, M. Advancing sustainability in forestry machinery: Electro-Hybrid drives for greenhouse gas reduction and enhanced energy efficiency. Central European Forestry Journal, 2024, roč. 70, č. 1, s. 41-50. ISSN: 2454-034X. 

2. STANĚK, L.; NERUDA, J.; MERGL, V. Difference in the magnitude of power saw vibrations affecting the operator during forest felling. Central European Forestry Journal, 2023, roč. 69, č. 1, s. 59-67. ISSN: 2454-034X. 

3. SLÁMA, D.; MERGL, V.; ABRAMUSZKINOVÁ PAVLÍKOVÁ, E. Analysis of the Heart Rate of Operators of Forwarding Machines during Work Activities. Forests, 2023, roč. 14, č. 7, ISSN: 1999-4907. 

4. MERGL, V.; KAŠPÁREK, J. Numerical Determination of the Accuracy of Gravity Center Coordinates and Stability of a Model Concept of Harvester with the Rigid Frame. Forests, 2022, roč. 13, č. 4, s. 1-18. ISSN: 1999-4907. 

DEM analysis – particulate matter