National Repository of Grey Literature 55 records found  beginprevious41 - 50next  jump to record: Search took 0.00 seconds. 
Robotic Process Automation
Mudrich, Tomáš ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
This diploma thesis deals with robotic automation of selected business process using RPA technology. Robotic automation tools are compared with each other and two are subsequently selected for development of the automation – the UiPath software and the AiVIRO library. Realized automations are compared and evaluated in conclusion.
Information System Assessment and Proposal of ICT Modification
Modrák, Karel ; Šebestová, Monika (referee) ; Novák, Lukáš (advisor)
The aim of the diploma thesis is an assessment of the information system of the company followed by the proposal of changes. The introductory part is focused on the theoretical basis of the work. The second part deals with selected company and its analyses, including the analys of the information system. Based on these analysis, appropriate changes are proposed including its costs and benefits.
The Application of Fuzzy Logic for Evaluation of Quality of Customers
Gábrle, Michal ; Šebestová, Monika (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with fuzzy logic and its use in business activities of a distribution company. Two models using fuzzy set theory are presented. These models are able to evaluate quality of customers through their attributes. Based on these calculations, they are classified into several price categories which differ in margin.
Statistical Analysis of Risk Factors of a Company
Semchiv, Evgheni ; Šebestová, Monika (referee) ; Karpíšek, Zdeněk (advisor)
This master`s thesis deals with the use of statistical and economic methods of analysis for evaluation of the financial situation of Heineken Czech Republic a.s. Company's economic indicators are subjected to regression analysis, interval regression analysis, and time series analysis. The proposal part contains a detailed evaluation of the results of the analyzes, evaluation of the financial risk factors and recommendations for improving the financial situation of the company.
Metody výběru proměnných pro predikci bankrotu firem
Šebestová, Monika
Predikce finančního selhání je důležitou činností, prováděnou finančními institucemi za účelem zhodnocení finančního zdraví firem i jednotlivců. V současné době jsou predikční modely založeny na statistických metodách či technikách umělé inteligence. Výběr správných proměnných vstupujících do těchto modelů je důležitým krokem k získání reprezentativního vzorku dat a zvýšení finální predikční přesnosti. Vzhledem k tomu, že neexistuje obecný rámec ukazatelů, pomocí kterých by měl být bankrot podniků predikován, je třeba použít metody, které s tímto výběrem mohou pomoci. Předložený článek se zabývá představením používaných metod a snaží se vyslovit odpověď na otázku, která metoda je pro výběr proměnných nejlepší. Z provedené analýzy vyplynulo, že žádnou metodu pro výběr prvků nelze označit za „nejlepší“ pro predikci bankrotu podniků, protože jejich účinnost značně závisí na použitém predikčním modelu.
The Use of Project Management Tools for Implementation of a New Product on the Market
Doležal, Martin ; Šebestová, Monika (referee) ; Širáňová, Lenka (advisor)
The thesis of this diploma deals with the implementation of a new product to the market by using project management tools and marketing strategy. To make ensure that all phases of the project have been assembled a series of analyses have been considered, which will serve as assessments of realization and effective preparation of the project so it can be put to a real use. All procedures have been based on a theoretical knowledge to ensure highly successful project standards of the company that the proposal is being prepared for.
Analysis of Economic Indicators Using Statistical Methods
Semchiv, Evgheni ; Šebestová, Monika (referee) ; Šustrová, Tereza (advisor)
This bachelor thesis is focused on financial analysis of company Heineken Česká republika, a.s. This thesis is divided into theoretical, practical and propose part. The theoretical part is focused on explaining the selected economic indicators, statistical methods and calculation procedures. The practical part is a calculation of selected economic indicators of the company, subsequent application of statistical methods and assessment of the company`s current financial situation. Propose part focuses on the own solutions and suggestions for improvement company`s financial situation.
Analysis of Economic Indicators Using Statistical Methods
Valentová, Dana ; Šebestová, Monika (referee) ; Šustrová, Tereza (advisor)
This bachelor´s thesis is focused on financial analysis of company Automotive Lighting Jihlava with application of statistical methods. The thesis is divided into three main parts. Theoretical part, which describes individual indicators of financial analysis and statistical metods, practical part, where are with help of financial statements applied individual economic indicators and statitical methods. Last part of thesis is based on calculated individual indicators determined the present status of company and overview of the future status of the company Automotive Lighting.
Analysis of the Company Rastr elektro s.r.o. Using Time Series
Šebestová, Monika ; Kurfürstová, Vladana (referee) ; Doubravský, Karel (advisor)
The bachelor´s thesis deals with the financial analysis of the company Rastr elektro s.r.o. using statistical methods. The theoretical part describes the problems of time series, regression analysis and financial analysis. In the practical part the analysis of economic indicators is given, and the future development of the company is predicated by means of the regression analysis. On the basis of established results the company is compared with two rival ones, and there are made suggestions how to improve its economic position.
The Application of Fuzzy Logic for Rating of Suppliers for the Firm
Pafkovičová, Petra ; Šebestová, Monika (referee) ; Dostál, Petr (advisor)
Master's thesis deals with design and development of two decision-making systems, which can be supportive during suppliers rating and selection the most suitable one from them. Both of the models, that one, which was made in the MS Excel, and also that one, which was made in the MATLAB, use principle of fuzzy logic and are designed according to the requirements of the selected company. Diploma thesis contains also all of theoretical bases, which are necessary for a design of both systems, and evaluation of benefits of the solution.

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