Wykaz obszarów badawczych związanych z tagiem Optymalizacja:
| # | Obszar badawczy | Dziedzina naukowa |
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| 1 |
optimization of transport and logistics systems
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| 2 |
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
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| 3 |
Designing, modeling, and optimizing logistics systems emphasize warehouse infrastructure, cross-docking, transshipment, and industrial facilities. Storage and internal transport technology, automatic material handling systems, and order-picking systems. Optimization of logistics and transportation processes, including material and information flow processes. Advanced FlexSim simulation of logistics systems, including internal transport systems, warehouse, and production infrastructure. Information systems in supply chains, Industry 4.0 in logistics, digital twin, digital shadow, Warehouse Management System, Warehouse Control System, green warehousing, ecological and sustainable transport. Urban logistics.
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| 4 |
Forecasting the RES generation and production of electricity in systems of various sizes using machine learning. Optimization in power engineering
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| 5 |
logistyka, technologia transportu, transport, optymalizacja, logistyka, technologia magazynowania
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| 6 |
Research in the area of supply chain management (SC): flexibility and resilience of SC to internal phenomena and global disruption (natural disasters, wars, diseases, sanctions), management and shaping of SC, supply, distribution, risk management, development and/or the use of decision support tools in SC based on the machine learning, artificial intelligence, simulation.
Research in the field of city logistics: planning a cargo distribution system, developing innovative solutions for the last mile logistics, infrastructure designing for environmentally-friendly vehicles, including methods of locating charging stations for electric vehicles, developing and/or using decision support tools in urban logistics based on the machine learning, artificial intelligence, simulation.
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| 7 |
The research area is focused on non-conventional manufacturing technologies, including modeling of the electrical discharge machining, application of artificial intelligence in the optimization of EDM processes, additive manufacturing, optimization of SLS/SLM process, hybrid erosive-abrasive machining, finishing technologies, i.e., abrasive flow machining, magnetic-abrasive finishing, grinding.
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| 8 |
issues of modeling and optimization of energy systems, transformation of energy systems, information systems in power engineering, problems of energy markets
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| 9 |
issues of modeling and optimization of energy systems, transformation of energy systems, information systems in power engineering, problems of energy markets
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| 10 |
Zagadnienia z zakresu transportu drogowego oraz szerzej systemów logistycznych dotyczące m.in. technologii przewozowych (w tym ładunków specjalnych), organizacji przewozów drogowych, problematyki doboru finansowania oraz kompozycji flot samochodowych, optymalizacji systemów przewozowych, modelowania ruchu, kształtowania sieci logistycznych, optymalizacji potencjału systemów logistycznych, zapasów, a także ekonomicznej i wielokryterialnej oceny efektywności rozwiązań w transporcie drogowym
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| 11 |
Analysis, synthesis, design, and optimization of complex dynamical systems, particularly in robotics, machinery, and multibody mechanisms applications. Computational methods for motion planning and control and experimental verification of these methods.
1. Research on kinematics and dynamics of redundant manipulators as well as overactuated and underactuated dynamical systems. Optimal trajectory planning for robots and manipulators, especially in time-varying environments under the real-time requirement. Model-based control methods. Direct human-robot physical interactions.
2. Development, implementation, and experimental verification of computationally effective methods for modeling rigid or flexible multibody systems with redundant constraints. Research on systems with friction in joints—development of friction models embedded in the algorithms for multibody systems computations. Applications of computer simulation methods in the design and optimization of machines and mechanisms.
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| 12 |
Analysis, synthesis, design, and optimization of complex dynamical systems, particularly in robotics, machinery, and multibody mechanisms applications. Computational methods for motion planning and control and experimental verification of these methods.
1. Research on kinematics and dynamics of redundant manipulators as well as overactuated and underactuated dynamical systems. Optimal trajectory planning for robots and manipulators, especially in time-varying environments under the real-time requirement. Model-based control methods. Direct human-robot physical interactions.
2. Development, implementation, and experimental verification of computationally effective methods for modeling rigid or flexible multibody systems with redundant constraints. Research on systems with friction in joints—development of friction models embedded in the algorithms for multibody systems computations. Applications of computer simulation methods in the design and optimization of machines and mechanisms.
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| 13 |
The research area is related to the control, identification and management of thermal processes in the area of Heating, Ventilation, Air Conditioning and Refrigeration, with particular emphasis on Heating & Air Conditioning systems. The test applied research methods used include experimental research and numerical simulations. Examples of research issues include:
1. Simulation and optimization of thermal processes in Heating and Air Conditioning (H&AC) systems
2. Unconventional, suboptimal and optimal control algorithms in H&AC systems
3. BMS systems in the operation of buildings
4. Minimizing energy consumption and costs in the operation of buildings
5. Measurement and identification of processes in H&AC systems
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| 14 |
The research area is related to the control, identification and management of thermal processes in the area of Heating, Ventilation, Air Conditioning and Refrigeration, with particular emphasis on Heating & Air Conditioning systems. The test applied research methods used include experimental research and numerical simulations. Examples of research issues include:
1. Simulation and optimization of thermal processes in Heating and Air Conditioning (H&AC) systems
2. Unconventional, suboptimal and optimal control algorithms in H&AC systems
3. BMS systems in the operation of buildings
4. Minimizing energy consumption and costs in the operation of buildings
5. Measurement and identification of processes in H&AC systems
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| 15 |
Applications of mathematics in transport. Modelling of transport systems and processes. Location issues.
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| 16 |
Modeling, control, and simulation of complex systems (ICT, financial engineering, medicine, water resources, etc.), computer decision support systems, recommendation systems, wireless sensor networks, mobile ad hoc networks, optimal resource allocation in data networks and computing centers, parallel and distributed programming, global optimization algorithms, machine learning and Big Data processing, blockchain technologies, cyber security.
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| 17 |
The power system must maintain a balance between demand and supply of electricity at all times. In most solutions used around the world, this balance is achieved by using various types of market systems. However, due to changes in the way electricity is produced and consumed, these systems are undergoing a kind of evolution. One of the key problems is to ensure stable operation of the system in the sense of its ongoing power balancing. Although many market tools have already been developed to support the transmission system operator in this task, new concepts are still being sought to minimize energy costs for the end user or the economy as a whole. The aim of the research is to develop new market models using optimization methods (e.g. computational intelligence methods) based on forecasts in various time horizons.
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| 18 |
Forecasting and estimating the condition of power grids. Optimization in the power industry. Research on new forecasting methods resistant to data deficit.
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