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Analysis of ZOO Brno Attendance
Stejskalová, Markéta ; Šustrová, Tereza (referee) ; Novotná, Veronika (advisor)
The main aim of this diploma thesis is to analyse visitation of the zoological garden in Brno and to make recommendations which could result in higher values of visitation. The major causes of the fluctuation in visitation are found out and the econometric model is created. Due to this model, we can predict the future values of the reference indicator. In order to determine the interdependence between Zoo Brno attendance and the number of guests accommodated in the South Moravian Region, the econometrics model of South Moravia Region visitation was created too. Based on the analysis of external and internal environment, recommendations which could positively influence Zoo Brno attractiveness and number of its visitors are suggested. All used methods of analysis and creating model are presented in the theoretical part of this diploma thesis.
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The Utilization of Soft Computing in Ordering Cycle Management
Šustrová, Tereza ; Fecenko, Josef (referee) ; Jurová, Marie (referee) ; Marček, Dušan (referee) ; Dostál, Petr (advisor)
This doctoral thesis deals with possibilities of using advanced methods of decision-making - Soft Computing, in company’s ordering cycle management. The main aim of the thesis is to propose an artificial neural network model with an optimal architecture for ordering cycle management within the supply chain management. The proposed model will be employed in an organization involved in retailing to ensure smooth material flow. A design and verification of artificial neural networks model for sales prediction is also part of this doctoral thesis as well as a comparison of results and usability with standard and commonly used statistical methods. Furthermore, the thesis deals with finding a suitable artificial neural network model with architecture capable of solving the lot-size problem according to specified inputs. Methods of statistical data processing, economical modelling and advanced decision-making (Soft Computing) were utilized during the model designing process.
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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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Mathematical and Statistical Methods as Support of the Development of Software Applications
Kinc, Petr ; Novotná, Veronika (referee) ; Šustrová, Tereza (advisor)
This diploma thesis focuses on the design and development of the software tool using C# programming language and his subsequent implementation into the Microsoft Dynamics NAV information system. The task of this tool is to analyze the development of selected indicators using statistical methods and to predict their future development. On the basis of these predicted data, is created an indicative budget to support decision making on the determination of key accounting parameters and coefficients for the next accounting period in the company Vodovody a kanalizace Hodonín, a.s.
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Analysis of Economic Indicators Using Statistical Methods
Marek, Tomáš ; Jelčová, Denisa (referee) ; Šustrová, Tereza (advisor)
The bachelor’s thesis focuses on the financial analysis of company Agrika tour Telč. The financial analysis is made by economic indicators and for future development are used statistical methods. First part of the thesis contains theoretical informations about economic indicators and statistical methods. In second part is the analysis of company with interpretation of results. In last part is overall evaluation of the analysis and my own suggestions of solutions. This last part contains simple program for calculation of economic indicators and the program was made in MS Excel 2013.
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