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Modelling and Analysis of Logistics Processes by Applying Process and Data Mining Techniques
Rudnitckaia, Julia ; Wang, Hao (referee) ; Zendulka, Jaroslav (referee) ; Hruška, Tomáš (advisor)
In this thesis, we propose an approach for modelling hidden and unknown processes and subprocesses in the example of a seaport logistics area. Having the underlying process model makes it possible to exploit more advanced algorithms since deviations and main paths are becoming visible and better controlled. The obtained model is the foundation for the core research of this work and will be enriched with key performing indicators and their forecast by applying advanced process mining, statistics, and machine learning techniques. The main difference of the approach is that we take as a target variable not any specific value, but the object - a process variant or a process type with a set of parameters. Bottleneck analysis, from one side, and predictive analysis, on the other hand, are enforced with context-aware information, especially with these additional objective process attributes. Furthermore, the support of the descriptive ("As is") current process model with certain notation and the integration with relevant bottleneck and predictive methods compromise the advantages of the approach. The work primarily focuses on the design of algorithms and methods for supporting logistics data analysis. However, it can be adjusted and applied to other areas accordingly, which makes the approach flexible and versatile. The result of the work is the framework for unstructured process modelling and the key process parameters predictive method. This analysis of processes with their attributes might be used for decision-making systems and process maps in future.
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Analysis of Economic Indicators Using Statistical Methods
Picka, Václav ; Vaníček, Jiří (referee) ; Doubravský, Karel (advisor)
The thesis is focused on the analysis of economic indicators of Brno Transport Company, Inc. using statistical methods. The issue of time series, regression analysis and selected economic indicators is illustrated in the theoretical part. In the practical part the indicators will be analyzed using time series and regression analysis associated with their predictions for the future. The last part contains recommendations for possible determination of strategies and business objectives.
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Analysis of Economic Data Using Statistical Methods
Klímová, Lenka ; Antoš, Marek (referee) ; Michalíková, Eva (advisor)
The teoretical part of the thesis focuses on timeline and also on economic issues of mainly ratio indicators and their interpratation. The aim of this work is to analyze and evaluate selected economic indicators of the company, using timeline analysis and regressive analysis. The analysis is related to value prediction of selected economic indicators which I predicted for the next two years (2014 and 2015). Based on the detected values I proposed measures for successful future development of the company. I have processed the data using Gretl and Microsoft Excel programs.
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Statistical analysis in quality management
Chlebounová, Klára ; Knobloch, Josef (referee) ; Zahálka, Jiří (advisor)
The goal of this thesis is to create a literary research on the methods of statistical data processing in the field of quality management and to make their overview along with the possibilities of using them. A practical example shows how to determine manufacturing process stability and qualification determining, using the Shewhart’s control chart and capability indexes. This methodics should serve as a guideline for manufacturing process evaluation. As a brief summary of generally used statistical data processing methods, this thesis should serve all, who are engaged in quality management.
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System for automatic evaluation of email messages
Frkal, Jan ; Červenka, Vladimír (referee) ; Koutný, Martin (advisor)
This diploma thesis deals with the design and realisation of system for automatic evaluation of e-mail messages. The system works with PHP language and MySQL database. It also allows automatic synchronisation. During the synchronisation e-mail messages are downloaded and saved using IMAP or POP3 protocol. Subsequently, the messages are analysed. During the analysis the reports are classified into types, according to pre-defined keywords. The system also works with black lists and white lists. If the sender of an e-mail is during the synchronisation found in the blacklist, that e-mail will be skipped. On the contrary, if the sender of an e-mail is found within the white list, that e-mail will be excluded from keyword matching and from the list is type and category loaded. Most of the values from the carried out evaluation of the e-mails can be clearly seen in advanced statistics. Pie charts and numerical statistics are available. Access to the system is protected by a login. Therefore, login can only registered users.
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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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The Suggestion ASP.NET Web Applications for Detection of Time Series Trend
Cíchová, Jana ; Mareš, Vlastimil (referee) ; Doubravský, Karel (advisor)
The aim of this work is the creation of web applications in ASP.NET, for the regression analysis of time series. The resulting product will be offered by creating web presentations for travel agencies, as part of a statistical package that has the company produces. The product is a web presentation, by which the travel agency will be able to analyze the marketability of such destinations, and based on specific data to create a forecast for the next years. The results will be processed both text and graphic file type *. xls or *. pdf.
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Influence of physical load to electrical activity of muscles
Kadeřábek, Jan ; Sekora, Jiří (referee) ; Kolářová, Jana (advisor)
This bachelor’s thesis describes influence of physical load on electrical activity of muscles. In each of bachelor’s thesis chapters are analyzed questions of measurement EMG signals and their elaboration, include statistic attestation of influence physical load on electrical activity of muscles. EMG signals were received from group of 10 students and in program acqKnowledge, were taken off parameters for statistic elaboration. In created program were due to time and frequency analysis calculated parameters of EMG records, which can also describe influence of physical load. Accomplishments of this project are the tables with measured data, their graphs, statistics attestation of influence physical load on electrical activity of muscles and program, which can do time and frequency analysis of measured records. On significance level 10% was verified hypothesis, that physical load influence electrical activity of muscles.
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Mobile App for Logging of Automobile Costs
Mokrý, Martin ; Špaňhel, Jakub (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design and implement a mobile application for the recording of a car's consumption. The application is made for the Android operating system. It lets the user easily and effectively input new refuel data. Based on this data the application can show the user an overall view of their car's costs. This thesis focuses on the creation of this application, individual stages of design, implementation details and the testing of the application. It also states and analyzes similar existing applications.
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The Grid
Gajdošík, Andreas ; Magid, Václav (referee) ; Krekovič, Slavomír (advisor)
Work aims at consequences of fully developed infrastructure of web 2.0 and its wide social acceptance, which with cheap computing power leads to massive data interpretation. In relation to that this work uses public Facebook's data about user activity at right wing oriented Facebook pages which gathers and statisticaly analyzes. Result is then showed at web page which is designed to look close to the look of extreme right wing webs. Positive first sight impression of right wing sympathizers is then eroded with not so good empirical statistics. Under 100 users are commenting quite often so this right wing craziness looks like a small movement in the end. Therefore Grid stands somewhere between amateur sociol research and artistic intervention into public media space.
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