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System for Processing Data from Smart Devices
Bureš, Michal ; Burget, Radek (referee) ; Hynek, Jiří (advisor)
This thesis deals with the design, implementation, and testing of a new information system for processing significant volumes of data from smart devices using user criteria – terminologically Key Performance Indicators. The thesis describes the domain of the Internet of Things and Smart Cities and discusses Key Performance Indicators and their applicability for monitoring smart devices and transforming data from these devices into practically applicable knowledge. Another significant topic of the thesis is information systems, their architecture, and performance – here the thesis describes various concepts and aspects through which it is possible to define and evaluate the performance of software, especially information systems and web services. Subsequently, the thesis deals with the system itself, first from the perspective of requirement specification, determined by analysis of potential users and their needs, and also analysis of existing solutions and their shortcomings. Significant requirements for the new system include stream processing of data from smart devices in real-time, high system capacity, system stability, and expandability. Later, the design of the system is described with an emphasis on the data model of the system, the process of evaluating Key Performance Indicators, and the architecture of the system, followed by implementation with an emphasis on the implementation of the client side of the system, the implementation of individual services forming the backend of the system, communication between these services using RabbitMQ technology, etc. The final part of the thesis, dedicated to testing the system, focuses on system performance, i.e., the throughput of individual services in processing messages from smart devices, optimization of throughput, benefits of horizontal scaling, and system-wide latency.
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Řízení výkonnosti procesů v podnicích DZP
Marcineková, Katarína
The optimization of the internal processes results in an increase of a total production effectiveness and enterprise competitiveness. Currently in the Slovak republic the share of GDP of furniture industry is constantly increasing. On the other hand it represent really low value of the total Slovak GDP. In addition because of the natural resources and a forest cover in the Slovakia it is necessary to pay attention to the optimization of the woodworking industry and its sectors. The dissertation thesis deals with the issue of the utilization of the numerical optimization methods focusing on the furniture manufacturing. It is possible to resolve the nonlinear problems and meet the conflicting objectives by using them. It is necessary to focus on the key and critical sub-processes in order to maximize productivity and quality and cost reduction through the identification of the input parameters and output target variables. The key process affects the total production performance of the enterprise transformation process at the most. It could be identified by a calculating the products share of the sales or the product contribution margins respectively. A critical sub-process represent space for the improvement. It is possible to determine it through calculating a waste of every sub process while the technologic procedure is respected. Therefore if the failure is recovered in the first phase of the transformation process it is more weighted. The critical sub-process was identified based on the questionnaire research results and analysis in the monitored enterprise. It was a milling process. An optimal values of the input parameters considering output target values were determined by using Artificial Neural Networks. Two types of the tool materials (poly-crystalic diamond and sintered carbide) were used in the experimental part of work. Finally the comprehensive model of the furniture manufacturing sub-processes was created. It follows that the basic approach for the optimization of the furniture manufacturing industry was built. In addition modulus of information system for furniture manufacturing eneterprises in woodworking industry was designed.
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Corporate Performance Financial Analysis Using Quantitative Methods
Kurskikh, Veronika ; Pištěková,, Anastasia (referee) ; Chvátalová, Zuzana (advisor)
The main objective of this thesis is the analysis of the enterprise using quantitative methods. This work includes two parts. The first theoretical part will introduce the basic theoretical concepts that are necessary for understanding the issues . In the second part, Selected Economic Indicators will be used to evaluate the current state of the selected company. At the end of the work, based on the analysis of the current state of the company, i will give suggestions for recommendations for improving the financial situation of the company.
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Measurement and Evaluation of Business Performance
Pallová, Terezie ; Hornungová, Jana (referee) ; Kocmanová, Alena (advisor)
Bachelor’s theses focuses on measuring and evaluating the performance of GIENGER, Ltd. for the period between 2019 and 2022. The thesis consists of three parts In the first part, the teoretical starting points are defined, where performance, financial analysis and performance evaluation methods are explained. The second part of the thesis focuses on application of financial analysis to the selected company and the evaluation of the results. The last part contains suggestions for improving the performance of the company based on the financial analysis.
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Company Performance Evaluation Using the Start Mode
Chládková, Andrea ; Hrózová, Michaela (referee) ; Kocmanová, Alena (advisor)
The diploma thesis focuses on evaluating the performance of the company SONET, s.r.o. over the period of 2018-2022. Financial analysis and the START model will be utilized for the evaluation. The first part deals with the theoretical background to provide a better understanding of the issue at hand. The following section contains financial analysis and evaluation of the model, based on which the final part of the thesis will propose potential improvements for the company.
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Models for Predicting Business Financial Performance
Vakhrushev, Dmitrii ; Oulehla, Jiří (referee) ; Luňáček, Jiří (advisor)
The thesis focuses on models for predicting the financial performance of the ALZA company, where it focused on emphasizing the strong financial performance and stability of the company. Key factors contributing to ALZA's success will be mentioned, such as consistent revenues, profits, effective cost management and investment in innovation. In addition, the work would also focus on potential strategies for further growth, such as exploring new markets, strengthening online sales, diversifying product offerings, and strengthening relationships with customers and suppliers. Emphasizing the importance of continuous innovation, market monitoring and strategic investment will demonstrate ALZA's readiness for future success and market expansion.Using financial data for the period 2017 to 2022, market trends and industry benchmarks, accurate predictions can be made regarding ALZA's future financial results. Implementing advanced modelling techniques and incorporating different scenarios can provide valuable insights for strategic decision-making.
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Evaluation of the Corporate Performance
Záhumenský, Marek ; Hornungová, Jana (referee) ; Pavláková Dočekalová, Marie (advisor)
The focus of this bachelor thesis is to evaluate the performance of ZAMA interior s.r.o. using a financial analysis based on the company's financial statements and then comparing it with two competing companies. In the first part we will discuss the subject matter of the topic, introducing the key concepts, analysis and how we can calculate them. In the second part, I will apply each analysis to a selected company, compare it with competing companies and evaluate the results obtained. The third part focuses on suggestions for improvement based on the opportunities identified by the financial analysis.
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Proposal for actions to maintain and increase the performance of companies in the crisis period
JANKOVSKÁ, Lucie
The main objective of this thesis is to evaluate the impact of negative effects caused by the crisis on the performance of the selected company and to propose effective measures that will help it to maintain or increase its performance in crisis conditions. Bankruptcy and creditworthiness models and economic value added (EVA) were selected to evaluate the performance of the firm in crisis period. The performance of the firm was monitored during the global economic crisis, Covid-19 pandemic, and energy crisis. The following part of the paper was devoted to suggesting measures that can maintain or improve the performance of the company in adverse conditions. One of the suggestions was the introduction of the concept of balanced scorecard as a suitable system for monitoring the performance of a company in times of crisis.
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Company Performace Analysis
Pazdera, Lukáš ; Škopková, Lucie (referee) ; Kocmanová, Alena (advisor)
This bachelor thesis focuses on performance financial analysis. It analyses financial situation of Kofola a.s. in 2012 – 2014 with use of basic methods of financial analysis. In the first part there are theoretics of financial analysis, in second part is performed the financial analysis and in the third part are suggestions of improvements of current situation of the company.
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A Company Performance Evaluation Using the EFQM Excellence Model
Zourek, Vojtěch ; Pyrochta, Václav (referee) ; Kocmanová, Alena (advisor)
The master´s thesis is focused on the performance evaluation for the MIKROP ČEBÍN a.s. company using the EFQM Excellence Model. The theoretical part of the thesis is focused on the definition of performance and the ways in which it can be measured and evaluated. The current situation of the company is characterized in the analytical part. The evaluation is performed according to the START Model questionnaire, which is derived from the EFQM Model of Excellence. The final part contains measures leading to increase the company's performance.
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