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Risk Management in Selected Subject by Means of Statistical Methods
Oralová, Ivana ; Žák, Libor (referee) ; Karpíšek, Zdeněk (advisor)
The diploma thesis is focusing on the review of financial indicators of a selected company through the use of statistical methods. Time series analysis, interval regression analysis, and regression analysis were used to analyse financial indicators, and based on that a prediction of the development in the next two years was created. The analysis also addresses potential risks for the company and possible ways to lower them. Based on the information obtained from the analysis a complete evaluation is created and recommendations are made to improve the company’s situation.
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Modelling of energy producing system and its operation planning applying advanced mathematical methods
Benáčková, Jana ; Karpíšek, Zdeněk (referee) ; Pavlas, Martin (advisor)
This master's thesis deals with the proposal of the cost-effective biomass and coal combustion concept for a real generation plant. The optimization of the current fuel basis exploitation and annual operation scheduling was the main goal. Applying the regression analysis and stochastic programming the mathematical model was constructed based on the operating data. The overall energy source model was implemented to the concept of the optimal operation scheduling considering the economic aspects. The fuel utilization and energy production planning are the main applications of this design.
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Risk Modelling in Engineering Applications
Konečný, Antonín ; Karpíšek, Zdeněk (referee) ; Popela, Pavel (advisor)
The diploma thesis focuses on risk modelling in engineering applications. The knowledge obtained from statistical methods of operational research, specifically regression analysis, is used. Electrical quantities measured on the stator winding of an electrical machine (generator) are analyzed. Regression analysis and statistical hypothesis testing is performed in Statgraphics software. The success results of the regression analysis for risk reduction are documented in detail and the regression curves are visualized in graphs. Conclusions and recommendations for each generator, as well as general ones, are formulated.
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Optimization of Energy by Robot Motion
Smetanová, Anna ; Skařupa, Jiří (referee) ; Smrček, Juraj (referee) ; Karpíšek, Zdeněk (referee) ; Kolíbal, Zdeněk (advisor)
The doctoral thesis is describing the problematic of motion parameters influences on energy consumption during robot operation. The basic methods of robot programming are characterized and evaluated in the introductory part and with help of mathematical models the influence of specific parameters is explained. The experimental verification of mathematical models was performed in the laboratory of Institute of Production Machines, Systems and Robotics at Brno University of Technology. The measure results are arranged in tables from which final evaluation and recommendation for praxis follows.
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Implementation and Application of Statistical Methods in Research, Manufacturing Technology and Quality Control
Kupka, Karel ; Karpíšek, Zdeněk (advisor)
This thesis deals with modern statistical approaches and their application aimed at robust methods and neural network modelling. Selected methods are analyzed and applied on frequent practical problems in czech industry and technology. Topics and methods are to be benificial in real applications compared to currently used classical methods. Applicability and effectivity of the algorithms is verified and demonstrated on real studies and problems in czech industrial and research bodies. The great and unexploited potential of modern theoretical and computational capacity and the potential of new approaces to statistical modelling and methods. A significant result of this thesis is also an environment for software application development for data analysis with own programming language DARWin (Data Analysis Robot for Windows) for implemenation of effective numerical algorithms for extaction information from data. The thesis should be an incentive for boarder use of robust and computationally intensive methods as neural networks for modelling processes, quality control and generally better understanding of nature.
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MODERN TECHNOLOGIES IN WIRE ELECTRICAL DISCHARGE MACHINING THE METAL ALLOYS
Mouralová, Kateřina ; Karpíšek, Zdeněk (referee) ; Pokorný, Peter (referee) ; Píška, Miroslav (advisor)
The dissertation is focused on streamlining production on wire electric discharge machine during cutting metal alloys, specifically low-alloy steel quality by CSN 41 4220. The first part contains a study of the current and modern technologies EDM wire cutting. The second part is focused on identifying key parameters to influence the WEDM process, a detailed analysis of the machined surfaces of samples and wire electrodes used for cutting. The result of this work was to explore the possibility, whether by performing planned experiment and subsequent evaluation in the future to determine exactly setting the key parameters influencing the process of WEDM.
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Statistical Analysis of a Company´s Financial Risk Factors
Kinclová, Petra ; Homolka, Pavel (referee) ; Karpíšek, Zdeněk (advisor)
The master’s thesis deals with the usage of statistical analysis in the evaluation of the financial situation of the chosen company. The author focuses on the analysis of economic indocators, that are used in business practice for the assessment of the company financial situation. Summarized economic data are analyzed by financial and statistical analysis. The data comparism results to recommendations that may be impemented for company improvement. On the basis of historical data and trends prognosis the company gets specific picture about future situation and the effects on the market.
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Statistical Analysis of Sample with Small Size
Holčák, Lukáš ; Hübnerová, Zuzana (referee) ; Karpíšek, Zdeněk (advisor)
This diploma thesis is focused on the analysis of small samples where it is not possible to obtain more data. It can be especially due to the capital intensity or time demandingness. Where the production have not a wherewithall for the realization more data or absence of the financial resources. Of course, analysis of small samples is very uncertain, because inferences are always encumbered with the level of uncertainty.
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Cluster analysis in mathematical software
Starý, Josef ; Karpíšek, Zdeněk (referee) ; Žák, Libor (advisor)
This bachelor thesis is focused on methods of cluster analysis in mathematical software. The goal is to describe basic methods of cluster analysis, to describe their implementation in mathematical software, to use the methods for clustering of prepared data and to compare the functionality of chosen software.
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