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Proposal of prediction model sales of selected food commodities
Řešetková, Dagmar ; Dostál, Petr (referee) ; Krčmarský, Miroslav (referee) ; Zelinka, Ivan (referee) ; Rais, Karel (advisor)
The dissertation is generally focused on the use of artificial intelligence tools in practice and with regard to the focus of study in the field of Management and Business Economics at using the tools of artificial intelligence in corporate practice, as a tool for decision support at the operational and tactical level management. In the narrower sense, the task deals with the proposal of the prediction sales model of selected food commodities. The proposed model is designed to serve as a substitute for a human expert in support decision-making process in the purchase of selected commodities, especially when training new staff and extend the currently used methods of managerial decision-making about artificial intelligence tools for company management and existing employees. The aim of this dissertation is the design prediction sales model of selected food commodities (apples and potatoes) for specific wholesale of fruit and vegetable operating in the Czech Republic. To become familiar with the behaviour of selected commodities were used primary and secondary research as well and knowledge gained from Czech and foreign literature sources and research. The resulting predictive model is developed using statistical analysis of time series and the sales prediction proceeds using the tools of artificial intelligence and is modeled by an artificial neural network. The dissertation in the practical part also contains proposals for the use of the prediction model and partial processing procedures for: • practice, • theory, • pedagogical activities.
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Analysis of Economic Indicators Using Statistical Methods
Vlček, Jan ; Kopřiva, Vojtěch (referee) ; Novotná, Veronika (advisor)
The bachelor thesis describes the analysis of chosen economic indicator dealing with the customer exit of a bank ABC. The first part of the bachelor thesis defines the theoretical bases needed for better understanding of the analyzed issue. The second part is focused on the present state of the customer exit in the bank ABC and it is designed a predictive model of the trial version in a real environment of the bank. Finally, the thesis processes the estimates of the prognoses from the predictive model with the use of basic statistic methods, the time series. There are proposed final adjustments of the model and conclusions of the work based on the modeled predictions.
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The Business Plan of the Establishment New Restaurant
Škarda, Jakub ; Smolík, Kamil (referee) ; Luňáček, Jiří (advisor)
The diploma thesis is focused on creating a business plan for establishment a new restaurant that will dedicate itself to serve slovakian, hungarian and czech cuisine. Part of the thesis is to put together sales and costs prediction model in a pertinent subbranch. It also contains internal and external environment analysis, financial and business continuity plan.
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The Effect of Stimulative Systems on Companies Costs and Revenues
Šimánková, Monika ; Mikoláš, Zdeněk (referee) ; Kubík, Josef (referee) ; Vaculík, Josef (referee) ; Kocmanová, Alena (advisor)
Dissertation thesis deals with issue stimulation remuneration system for employees of workers profession. Empiric research is focused on situation in the field of remuneration for employees in custom engineering companies acting in the Czech Republic. The final facts from both research are the starting point for creating predictive model. The model offers two main possibilities how to reward workers. It allows settings for each specific company and shows the impact of both chosen system and its settings on financial economy of company.
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Prediction of Raining from Meteoradar
Vlček, Michael ; Pešán, Jan (referee) ; Szőke, Igor (advisor)
This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
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Srovnání modifikací predikčních bankrotních modelů
Bednář, Ondřej
The goal of this theses is to compare existing bankruptcy prediction models with its new modification unique for this work, which could perform better than its competition. Proposed model is logit-based and consists of the combination of variables used in Altman´s and Ohlson´s models. The final model is estimated for medium sized companies in EU which aren´t publicly traded. This model achieved prediction accuracy of 97,1% (97.4% for healthy and 91.1% for bankrupt compa-nies) on its original dataset. As expected, when verified on new dataset, the accu-racy dropped but still reaches 97.1% (99.3% for healthy and 37.7% for bankrupt companies). The model is compared with its competition (original and modified version of Ohlson´s and partially Altman´s models) and it is shown that it has higher prediction accuracy.
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Presnosť predikcií inflácie európskych centrálnych bánk
Frantová, Martina
Frantová M., The accuracy of European central banks inflation forecasts. Bachelor thesis. Mendel University Brno, 2019. The Bachelor thesis focuses on accuracy of inflation forecasting, created by central banks in European Union during the period of 2004 ‒ 2018. The theoretical part consists of literature review that describes related terms in relationship with forecasting. This part consists of European central banks models literature review as well. The practical part detects differences and deviations of forecast by evaluating methods. Analysis is divided into two parts, the first one as overall measuring forecasting accuracy, created by both graphical display and evaluating methods, and continues with analysis of horizons. The aim of this thesis is to identify accuracy errors of inflation predictions created by national banks in European Union. Via Mean Absolute Percent Error, Mean Absolute Deviation and Standard Deviation it has been found, that there are significant differences in inflation forecasts and accuracy is worsening with increasing horizon.
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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.
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Thermoregulation in ant genus Formica, an individual vs. colony conflict
Kadochová, Štěpánka ; Frouz, Jan (advisor) ; Dauber, Jens (referee) ; Domisch, Timo (referee)
This thesis deals with thermoregulation in red wood ants, in Formica rufa group. Our aim was to better understand the mechanisms by which red wood ants maintain thermal homeostasis in their nests. Red wood ants are known to keep high and stable temperatures in their nests from spring to autumn. Most emphasis is placed on the role of the nest mound as a solar collector or on a heat production by microbial community present in the nest material. However, some researchers believe that wood ants are able of active nest thermoregulation in which they can affect the nest temperature by behavioural reactions, mainly by sun basking, increased metabolic heat production or heat transport. The thesis consists of three research articles. The first one is focused on the timing of thermoregulation in red wood ants, the second one investigates in more detail one specific aspect of red wood ant thermoregulation - a sun basking behaviour. These two papers provide data from long-term field observations and experiments. The last paper is based on laboratory experiments where we tested a hypothesis resulting from field observations. Thanks to the field research we found out that ant activity (traffic on ant trails) significantly correlates with nest temperature; once the activity decreased the thermal homeostasis...
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Analysis of Economic Indicators Using Statistical Methods
Vlček, Jan ; Kopřiva, Vojtěch (referee) ; Novotná, Veronika (advisor)
The bachelor thesis describes the analysis of chosen economic indicator dealing with the customer exit of a bank ABC. The first part of the bachelor thesis defines the theoretical bases needed for better understanding of the analyzed issue. The second part is focused on the present state of the customer exit in the bank ABC and it is designed a predictive model of the trial version in a real environment of the bank. Finally, the thesis processes the estimates of the prognoses from the predictive model with the use of basic statistic methods, the time series. There are proposed final adjustments of the model and conclusions of the work based on the modeled predictions.
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