|
| |
|
|
Optimization of Production Processes
Halas, David ; Dvořák, Jiří (referee) ; Popela, Pavel (advisor)
This thesis deals with modelling diffenrent types of production lines. Modeling is done by the mathematical programming and simulation methods. Optimization related computations are mostly implemented in program GAMS. Simulation is realized by using program Matlab/SimEvents. The results are presented by the Gantt diagrams.
|
|
|
Optimization of Slab Concasting Via Numerical Model of Temperature Field
Mauder, Tomáš ; Čarnogurská, Mária (referee) ; Pyszko, René (referee) ; Raudenský, Miroslav (referee) ; Kavička, František (advisor)
The thesis deals with optimization of the continuous slab casting process. The thesis summarizes the basic analytical and empirical findings concerning to the solidification process, the numerical modeling and the selected optimization techniques. Physical conditions and factors that affect the quality of steel including their relationships are also described. The basis of the solution strategy is the original numerical model of the temperature field in its off-line version. The numerical model was verified by the real historical data. The optimization part is based on the fuzzy logic implemented above the numerical model. The optimization algorithm is used for the optimal control of the casting process. The universal usage of the optimization model is demonstrated on several cases, e.g. the finding of optimal casting parameters that ensure the high quality of products, the optimal reactions on breakdown situations, the determination of an optimal relationship between casting parameters, etc. Based on optimization results, the suitable caster modification to increase the surface temperature at the unbending point was proposed. The whole concept of the numerical and optimization model is general and it can be applied to arbitrary slab or billet continuous casting.
|
|
|
VIRTUAL FACTORY USING MATHEMATICAL PROGRAMMING METHODS
Svoboda, Jan ; Sklenář, Jaroslav (referee) ; Mauder, Tomáš (advisor)
This work is focused on solving problems in Industry 4.0. Main part of this work describes development of a discreet simulation model based on queuing theory. This model will be used for a heuristic optimization of a production line. Model will be validated with data from real production line. Improvement of effectivity using discrete model and heuristic optimization will be shown on virtual production line.
|
|
|
Reliability-based structural optimization
Slowik, Ondřej ; Červenka,, Jan (referee) ; Lepš, Matěj (referee) ; Novák, Drahomír (advisor)
Presented PhD thesis deals with reliability-based optimization of structures and problems related to automatization of various algorithms of solution for various reliability-based optimization task definitions. The text presents a general definition of the reliability-based optimization problem, followed by a description of state of the art within the broad field of reliability-based optimization as well as the current state of the art of selected methodology utilized or developed by the author during his work in order to meet objectives of his dissertation. The theoretical part of the thesis is supplemented by a description of developed software tools and by examples of described methodology applications during a solution of practical problems of nonlinear numerical models reliability-based optimization and problems of inverse analysis.
|
|
|
VIRTUAL FACTORY USING MATHEMATICAL PROGRAMMING METHODS
Svoboda, Jan ; Sklenář, Jaroslav (referee) ; Mauder, Tomáš (advisor)
This work is focused on solving problems in Industry 4.0. Main part of this work describes development of a discreet simulation model based on queuing theory. This model will be used for a heuristic optimization of a production line. Model will be validated with data from real production line. Improvement of effectivity using discrete model and heuristic optimization will be shown on virtual production line.
|
|
| |
|
|
Optimization of Production Processes
Halas, David ; Dvořák, Jiří (referee) ; Popela, Pavel (advisor)
This thesis deals with modelling diffenrent types of production lines. Modeling is done by the mathematical programming and simulation methods. Optimization related computations are mostly implemented in program GAMS. Simulation is realized by using program Matlab/SimEvents. The results are presented by the Gantt diagrams.
|
|
|
Optimization of Slab Concasting Via Numerical Model of Temperature Field
Mauder, Tomáš ; Čarnogurská, Mária (referee) ; Pyszko, René (referee) ; Raudenský, Miroslav (referee) ; Kavička, František (advisor)
The thesis deals with optimization of the continuous slab casting process. The thesis summarizes the basic analytical and empirical findings concerning to the solidification process, the numerical modeling and the selected optimization techniques. Physical conditions and factors that affect the quality of steel including their relationships are also described. The basis of the solution strategy is the original numerical model of the temperature field in its off-line version. The numerical model was verified by the real historical data. The optimization part is based on the fuzzy logic implemented above the numerical model. The optimization algorithm is used for the optimal control of the casting process. The universal usage of the optimization model is demonstrated on several cases, e.g. the finding of optimal casting parameters that ensure the high quality of products, the optimal reactions on breakdown situations, the determination of an optimal relationship between casting parameters, etc. Based on optimization results, the suitable caster modification to increase the surface temperature at the unbending point was proposed. The whole concept of the numerical and optimization model is general and it can be applied to arbitrary slab or billet continuous casting.
|
|
|
Optimization of Slab Concasting Via Numerical Model of Temperature Field
Mauder, Tomáš ; Kavička, František (advisor)
The thesis deals with optimization of the continuous slab casting process. The thesis summarizes the basic analytical and empirical findings concerning to the solidification process, the numerical modeling and the selected optimization techniques. Physical conditions and factors that affect the quality of steel including their relationships are also described. The basis of the solution strategy is the original numerical model of the temperature field in its off-line version. The numerical model was verified by the real historical data. The optimization part is based on the fuzzy logic implemented above the numerical model. The optimization algorithm is used for the optimal control of the casting process. The universal usage of the optimization model is demonstrated on several cases, e.g. the finding of optimal casting parameters that ensure the high quality of products, the optimal reactions on breakdown situations, the determination of an optimal relationship between casting parameters, etc. Based on optimization results, the suitable caster modification to increase the surface temperature at the unbending point was proposed. The whole concept of the numerical and optimization model is general and it can be applied to arbitrary slab or billet continuous casting.
|
guest ::
