Doctoral Schools WUT

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Wykaz obszarów badawczych związanych z tagiem Sztuczna-inteligencja-AI:

# Obszar badawczy Dziedzina naukowa
1 Design of logistic facilities (warehouses, logistic and distribution centres, transshipment terminals, intermodal terminals, industrial plants, etc.); shaping, optimization, rationalization, streamlining, modelling of logistic processes, internal transport and storage processes; implementation and evaluation of new technologies in intralogistics and logistics; modelling and optimization of intralogistic processes (order picking, co-packing, packing, storage, transshipment, etc.), application of mathematical and simulation modelling tools; application of mathematical and simulation modelling tools in logistics; construction of simulation models and conducting simulation studies (e.g. using the FlexSim tool); digital twin; digital shadow; IoT - Internet of Things
2 Modeling of transport, logistics and production systems and processes: analytical and simulation methods, digital twins. Application of pseudo-random number generators in logistics and production processes and providing sensitivity analyses of selected parameters of logistics facilities operation in the aspect of dynamically changing conditions. Decision support modeling in transportation, logistics and production processes. Design of logistics facilities such as: warehouses, logistics centers, intermodal terminals, transshipment, etc. Application of augmented reality (AR) and artificial intelligence (AI) in logistics and manufacturing processes. Sustainability of transport systems, including prevention of transport poverty, ecology, karakuri. Issues of Industry 4.0 and Logistics 4.0. Research and analysis of railroad track condition. Research is mainly concerned the following branches and fields of transport: rail, road and internal transport. Simulation methods.