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Application of Mathematical and Statistical Methods in Company Management
Hrkeĺ, Jan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis deals with the analysis and proposal of improvements to existing processes in a selected company using mathematical and statistical methods. This is achieved on the basis of digitalization and automation of invoice processing processes in the selected company in order to increase competitiveness in a dynamic business environment. Due to the high costs and risks associated with traditional manual invoice processing, the enterprise decided to switch to a modern digital solution. The thesis is divided into two parts, the first of which outlines the theoretical foundations that are the key treasure trove for the subsequent detailed analysis of the current state of invoice processing. Next, key issues are identified and an effective solution is proposed using Microsoft's SharePoint, Power Apps and Power BI technologies. The implementation of the proposed solution brings significant benefits to the business, including reduced operational costs, increased accuracy of invoice data, and freeing up human resources for other tasks.
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Application of Mathematical and Statistical Methods in Company Management
Zezula, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis discusses the analysis of logistics costs for a company operating a network of vending machines and the subsequent minimization of the established costs by changing the locations and number of supply depots. A function reflecting the dependence of transport, warehousing, and inventory holding costs on the number and locations of depots is derived. The coefficients of this objective function are identified based on data provided by the analyzed company. Optimization of the locations and number of supply depots is performed using the Nelder and Mead iterative algorithm in combination with agglomerative clustering. The proposed approach to optimizing the logistics network is described from a mathematical-statistical and implementation perspective. Special attention is paid to finding optimal routes between supply depots and vending machines using geographic software, which also allows for measuring the route length and the time required to cover the obtained distance. The thesis then presents six proposals for reorganizing the logistics network, reflecting the optimal distribution of supply depots at their different numbers. Various shapes of the inventory holding costs are also considered, and their impact on the optimal number and locations of supply depots is discussed.
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Mathematical Methods in Economics
Koudelová, Tereza ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The bachelor thesis is focused on the analysis of POEX Velké meziříčí a.s company’s basic situation and financial statements. The first part explains financial indicators and statistical methods. The second part is based on the theoretical knowledge, where the calculations of selected economic indicators are performed and the trend of development of these indicators is determined using the application of time series and regression analysis. Lastly, the thesis summarises the financial situation of the POEX company and make suggestions to improve the company’s future behaviour.
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The Use of Statistical Methods for Data Processing
Krygielová, Lucie ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This thesis deals with the optimization of the supply process of a small business, especially with determining the optimal inventory level and demand forecasting, using tools of time series analysis. The final part gives a description of the creation of the program that is used to calculate individual indicators and forecasts. The aim is to increase the efficiency of the supply process, thereby reducing operating costs of the company.
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Analysis of Economic Indicators of the Selected Company Using Statistical Methods
Bahureková, Beáta ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis presents a financial analysis of SIGMA GROUP s.r.o. The basis for the analysis is the accounting documents for the years 2012-2016. The assessment of the company's financial situation is analyzed using the analysis of economic indicators and statistical methods using the Microsoft Office Excel program written in the Visual Basic programming language. The first part of the thesis is theoretical and the statistical methods and procedures of financial analysis that are important for the next part of the thesis are described. The second part of the thesis is analytical and deals with the calculations of the individual indicators, which form the basis for the possible setting of goals and strategy of the company.
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Technical Analysis
Hlavenka, Dušan ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This Bachelor´s thesis focuses on the issue of the use of statistical concepts in economics with a focus on financial market in the Czech Republic. Specifically, the work deals with emissions that are included in the Prime Market Index PX and monitored and recorded Stock Exchange in Prague. The essence is the analysis of individual stocks and calculating statistical parameters that should be relevant to potential investors in the financial market favoring technical analysis.
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Technical Analysis
Kotásek, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
Thesis is focused on CAPM model. Characteristics of five chosen stocks of NASDAQ capital market are calculated using linear regression. Market index S&P 500 is used to represent the market. Calculated values are verbally interpreted. As a presented solution, a program is created in VBA language, that will help the user to convert historical stock data from Yahoo! Finance to form, that can be used for calculations. The program will then use the data to calculate said characteristics. Program is also tested on function and performance using larger amounts of historical data.
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Technical Analysis
Okruhľanský, Lukáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The subject of my Master´s Thesis is the technical analysis. Teoretical part is about the approach of the theoretical issues, description of its individual methods, in the second part I'm concerned with the practical use of technical analysis in trading on the financial market and at the end of the thesis I will evaluate the effect of using the technical analysis in practice, in general also in the specific cases I investigated, I summarize its advantages and disadvantages.
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Mathematical Methods in Economics
Polach, Tomáš ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
This bachelor thesis is focused on the use of stathistical methods in inventory management in the specific company. The thesis is divided into three main parts. The first part is focused on a summary of essential knowledge of regression analysis, time series and inventory management. This knowledge is applied on the real data of inventory of the company in the second part of the thesis. The third part is focused on the suggestions that will help optimize stock policy of the company.
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