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Scoring rules - ranked advanced voting systems
Zýková, Petra ; Jablonský, Josef (advisor) ; Dlouhý, Martin (referee)
This thesis deals with ranked advanced voting systems. The aim is to determine the overall winner and the ranking of candidates based on voters' preferences. The thesis utilises basic voting systems - plurality rules, lexicographical and Borda's method - as well as advanced voting systems with the application of DEA models, specifically DEA/AR model, DEA/AR exclusion model (including variations with penalties), and Llamazares-Peňa model. Compromise programming is used to obtain common vector of weights. The models and their use are demonstrated on Formula One Grand Prix results from season 2016. Formula One World Drivers' Championship and Formula One World Constructors' Championship are being investigated.
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Evaluation of effectiveness of renewable energy sources
Vrobel, Marcel ; Sekničková, Jana (advisor) ; Bíza Bisová, Sára (referee)
The problem of comparing different sectors, companies, or projects occurs very often. This problem arises of poorly chosen metodics or requirements for results. The results of such comparisons are inconclusive and then useless. The contribution of this work is a practical guide which focuses on using of data envelopment models for evaluation of different options. In this thesis DEA models are presented on renewable energy sources. For proper understanding of the problems it is necessary to define what the data envelopment models (also known as DEA models) are. The purpose of this thesis is to inform about their creation and origins and also the description of their function. There is also an introduction into the teory of renewable energy sources. Renewable energy sources are evaluated based on their input. In this thesis is a comparison of biomass with solar, water and wind energy.
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Using DEA models to assess efficiency of public transport
Hanousek, Jakub ; Borovička, Adam (advisor) ; Soldatyuk, Nataliya (referee)
This thesis deals with using DEA models to assess efficiency of the bus public transport in the Czech Republic regions. It is a method based on linear programming used to measuring efficiency of units. The main problem of public transport is the constant pressure to increase subsidies into this sector whilst the efficiency decreases. In the theoretical part of thesis, there will be explained the term 'efficiency' and will be introduced the basic principles of data envelopment analysis method including the mathematical formulations of the classic and modified DEA models, which will be then used in the practical part. The analysis of the resulting efficiency rates of all the different regions will be carried out with respect to the regions' specific characteristics. In the conclusion the optimal values will be proposed.
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Analysis of selected hypermarket chain in the cosmetics category by using operation research analysis
Jiroutová, Aneta ; Kuncová, Martina (advisor) ; Sekničková, Jana (referee)
The topic of this diploma thesis is the application of certain operation research methods on a practical example. The main objective is to evaluate and compare hypermarkets of selected retail company on the basis of data from cosmetics department for the year 2013. In the thesis are firstly described theoretical assumptions necessary for understanding the decision theory and DEA models, next part is then focused on selected company and its history, current market position and the different types of store formats. Following practical part shows the application of multicriteria evaluation methods (WSA, TOPSIS, ELECTRE III) and DEA models (CCR and BCC) on concrete intern data and results which are then commented, compared and completed with recommendations, how to eliminate store or stores weaknesses, if needed. All calculations in the practical part of this thesis were done by the supplement of MS Excel -- Sanna and optimalization software LINGO.
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Selection of of electricity supplier for household using methods of operations research
Hesounová, Kristýna ; Kuncová, Martina (advisor) ; Sekničková, Jana (referee)
Main task of the thesis, as it is clear from its name, is the application of operations research methods, which could be used for selecting suppliers of electricity for the home. In the first part of thesis the functioning of the electricity market in the Czech Republic is explained and the theoretical assumptions, which are necessary for understanding the issue is described. In the practical part of the thesis some methods of multicriteria decision making and of data envelopment analysis models are presented. The results of each method are explained in detail and they are compared with results of other methods.
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The evaluation of quality of life by data envelopment analysis models
Mysan, Anastasia ; Jablonský, Josef (advisor) ; Dlouhý, Martin (referee)
This bachelor thesis describes basic models of data envelopment analysis and focuses on their application for the evaluation of quality of life in the regions of the Czech Republic. The homogeneous decision-making units are set to be the individual districts. The first part of the thesis describes the essence of data envelopment analysis and specific models determining efficiency and super efficiency. The second part contains some characteristics of the concept of quality of life from different points of view and there are listed indicators for measuring the quality of life. The aim is to analyze the effectiveness of districts, according to selected economic and non-economic measurable characteristics of quality of life. Comparing districts according to their effectiveness can identify their weaknesses and factors limiting regional development.
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Models of Data Envelopment Analysis and their application on District Courts in the Czech Republic
Kohoutová, Adéla ; Dlouhý, Martin (advisor) ; Šindelářová, Irena (referee)
Our focus in this paper is to evaluate the efficiency of the District Courts in the Czech Republic. As the method how to find out we used Data Envelopment Analysis. There are two DEA models used for the measure of efficiency. One of them is the CCR model what means with constant returns to scale the other is the BCC model what is one with variable returns to scale. According to them DEA indicated three respectively four efficient Decision Making Units (DMU). For inefficient DMU were determined the ways how to modify inputs and output these units and make them efficient. We worked with five inputs and one output. The data for analysis come from branch offices of every District Court and from the website of the Czech Judiciary.
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Aplication of DEA models to assess efficiency on selected banks in the Czech Republic
Krpcová, Markéta ; Jablonský, Josef (advisor) ; Sekničková, Jana (referee)
This thesis deals with the evaluating efficiency of Czech banks using data envelopment analysis (DEA), which is a method based on mathematical programming. Each bank is then evauluated with the relative efficiency coefficient that indicates the efficiency or inefficiency of the particular bank. The work is further developed the classical approach of bank performance measuring in comparison to DEA, researches that have applied DEA models to evaluate banks in the past in different countries and detailed analysis of the results of the precessed model.
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Application of Monte Carlo method on DEA models with interval characteristics
Ficl, Vít ; Jablonský, Josef (advisor) ; Charvát, Karel (referee)
To determine the efficiency of homogeneous decision-making units, DEA models were developed. By these models, the efficiency is assessed based on the given data obtained from past observations. To determine the efficiency in the forthcoming period, it is necessary to work with stochastic data. In this case, it is appropriate to specify optimistic and pessimistic estimates for data to build an interval in which the data could occur. Models with imprecise characteristics could either be solved in optimization way by IDEA models, or by Monte Carlo simulation. Within the simulation, the median and also the probability of reaching the efficient frontier may be determined. For the purpose of applying the Monte Carlo method for DEA models with interval data, a special computer application was created, which was also used to solve a sample example.
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DEA models and application on baseball teams
Novotný, Šimon ; Jablonský, Josef (advisor) ; Dlouhý, Martin (referee)
The aim of this diploma thesis is to analyze the efficiency of teams that have participated in the last season of Major League of Baseball. To measure this efficiency Data Envelopment Analysis (DEA) models are used. Theoretic part is focused on explanation of basic definitions related to DEA. The emphasis in this part is concentrated on basic models which are applied in the second part of the thesis. Application study is focused on computation of attack and defence efficiency using BCC a CCR model. In the end the efficiency given by DEA models is compared to the position of teams in the final table.
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