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Employee Benefits and Proposal for Development in Engineering Department of Selected Company
Tálský, Ondřej ; Millerová, Renáta (referee) ; Dohnal, Mirko (advisor)
Bachelor thesis describes method of remuneration by employee benefits in selected company. The theoretical part examines impact of surroundings on remuneration and various aspects of benefits. The practical part describes trends on market of benefits and analyse current situation in Thermo Fisher Scientific Brno s.r.o. with methods such as questionnaire, analyses, interview with management. It also describes options provided by cafeteria plan and its flexibility for benefits distribution to each employee. Suggestion presents benefits of cafeteria plan, how old and new benefits should be implemented into this plan, and what it costs.
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The Use of New Knowledge about Generation Y for Their Inclusion into Business Practice
Kruntorádová, Markéta ; Dobřický, Josef (referee) ; Dohnal, Mirko (referee) ; Dohnalová, Zuzana (referee) ; Mikulec, Luděk (advisor)
Dissertation deals with Generation Y and its position in the corporate environment and in the labor market. The selected issue is very topical because of increasing structural and cyclical unemployment among young people. In preparing the dissertation, we departed from theoretical findings acquired by studying Czech and foreign monographs, articles published in journals, other electronic resources and, most importantly, primary research conducted. The main objective of the dissertation to gain new knowledge about Generation Y, which would lead to a more effective inclusion of young people (especially graduates) into practice with the use of new management methods in the adaptation and stabilization of a young employee in the job, with focus on future employees with economic expertise. In order to achieve the main objective, 4 sub-objectives and 4 research questions with relevant hypotheses were set. Based on an analysis of the theoretical basis and secondary data, a schema of adaptation and stabilization of a young employee was created. The primary research conducted then combines quantitative and qualitative approaches for the analysis and description of each part. The research results are presented in the form of partial conclusions characterizing each area as well as in the form of a summarizing conclusion placed in a broader context in a comparison with the determined state of current scientific knowledge. The dissertation includes contributions to science and research, business practice and teaching as well as a proposal of continuation of research activities.
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Porous elements based on granular materials and inorganic binders
Bulejko, Pavel ; Dohnal, Mirko (referee) ; Svěrák, Tomáš (advisor)
Tato diplomová práce zkoumá možnosti tvorby porézních struktur za použití partikulárních materiálů pojených anorganickými pojivy bez dodatečné tepelné úpravy vypalováním. Jako základní pojiva byly použity portlandský a hlinitanový cement a pojiva na bázi alkalicky aktivovaného metakaolinu (geopolymeru). Jako základní kamenivo byl použit karbid křemíku v různých frakcích podle velikosti částic. Byly taktéž použity další zrnité materiály, např. křemenný písek anebo odpadních materiálů (mleté sklo a porcelán) roztříděných do frakcí podle velikosti částic. Byl sledován vliv složení a množství kameniva na vytváření porézní struktury a tím i na mechanické vlastnosti, které byly testovány pomocí mechanických zkoušek. Pevnostní zkoušky byly provedeny na trámečcích 20 × 20 × 100 mm připravených z testovacích směsí. Granulometrické a fázové složení vstupních surovin bylo studováno metodou laserové granulometrie resp. RTG difrakce. Porézní struktura byla studována metodami rtuťové porozimetrie, dále pomocí světelné a rastrovací elektronové mikroskopie a taktéž pyknometrickou metodou. V rámci charakterizace přepážek (terčíky o průměru 90 mm) připravených z jednotlivých materiálů bylo provedeno stanovení efektivní permeability průtokem vzduchu. Dále byly provedeny testy vzlínavosti kapaliny v připravených materiálech. V závěru práce byly provedeny pokusy o filtraci jemných suspenzí přes uvedené přepážky.
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Separation of gaseous pollutants on membrane contactors
Ostrezi, Jan ; Dohnal, Mirko (referee) ; Svěrák, Tomáš (advisor)
The diploma thesis is devoted to the separation of a gasseous pollutant (CO2) from a gas mixture using an experimental technology device - membrane contactor. The theoretical part is mostly focused on the recent progress in the field of membrane contactors. The theoretical part also contains theory of absorption, which is needed to understand the subject properly. The experimental part focuses on the construction of the experimental device. The efficiency of the device in absorption of carbon dioxide to an aqua solution of sodium hydroxide was tested. At the end, experimental data are discussed.
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MULTI-OBJECTIVE OPTIMIZATION OF SCIENCE PARKS BASED ON QUALITATIVE EQUATIONLESS RELATIONS
Wouters, Hana ; Koráb, Vojtěch (referee) ; Hřebíček, Jiří (referee) ; Čapek, Jan (referee) ; Dohnal, Mirko (advisor)
Tato dizertační práce řeší optimalizaci vědeckých parků z hlediska potřeby zvyšování konkurenceschopoností regionů a potažmo celé ČR. Je koncipována pro investory, kteří chtějí realizovat projekt VP v různých regionech ČR nebo manažery již existujících vědeckých parků, kteří chtějí udělat další rozhodnutí. Možnost realizovat projekt VP platí pro všechny regiony, včetně regionů, které se dříve mohly spoléhat na dostupnost a těžbu nerostných surovin (tradičně těžba uhlí), jež v minulosti fungovala jako významný faktor pro rozvoj průmyslu a ekonomické aktivity. Tyto regiony se nyní musejí vyrovnat se ztrátou konkurenceschopnosti a přesunout své úsilí do oblasti rozvoje výzkumu a vývoje produkujícího inovace. Kvalitativní modelování je vhodné pro tak málo známé a komplexní systémy jako jsou právě vědecké parky (VP). Modely vědeckých parků obsahují proměnné různého charakteru a různých časových chování. Z tohoto důvodu jsou studovány rychlé a pomalé modely. Pro 11 pomalých proměnných je studován soubor 17 kvalitativních bezrovnicových vazeb typu (např. kvalita výzkumných a vývojových inženýrů, konkurenční status atd.) společně se souborem 14 kvalitativních bezrovnicových vazeb pro 10 rychlých proměnných typu (např. spolupráce mezi průmyslem a akademickými ústavy, výměna průmyslových informací apod.). V této dizertační práci jsou prezentována řešení rychlých a pomalých modelů ve formě souborů rychlých a pomalých scénářů a přechodů mezi nimi a jsou hledána optimální řešení. Analýza/optimalizace málo známých, nelineárních, multidimenzionálních systémů jako jsou vědecké parky je složitá a je obtížné vytvořit smysluplné a dostatečně přesné modely nestabilního chování. Systematická analýza řady kvalitativních řešení je hlavní částí disertační práce a jejím hlavním vědeckým přínosem. Jednotlivé kroky postupu tvorby modelu jsou názorně ilustrované na příkladech. Text obsahuje interpretaci dosažených výsledků a formulaci přínosů pro teorii a praxi.
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R&D support: the way how to increase enterprises’ competitiveness
Bočková, Nina ; Dohnal, Mirko (referee) ; Duspiva, Pavel (referee) ; Motyčková, Monika (referee) ; Meluzín, Tomáš (advisor)
This dissertation investigates the possibilities of increased use of direct and indirect support for R&D in small and medium-sized companies operating in branches of the manufacturing industry in the Czech Republic and specialising in the production of computers and electronic and optical instrumentation and equipment. The choice of the topic of this work was motivated by personal experience in a field in which companies either have not had enough information to take advantages of subsidies for research and development or have had negative experience relating to applications for direct support for research and development. These facts have presented obstacles to the realisation of research and development in corporate practice. The aim of this dissertation is to propose a methodology for the use of available tools in support for research and development in the Czech Republic and its verification against real data from selected companies. Data from primary and secondary research was used to investigate the selected area of academic knowledge. A questionnaire investigation was performed on the basis of knowledge obtained from detailed research of Czech and foreign literary sources. The respondents were companies in the electronic industry. The dissertation presents the results of empirical research and an assessment of research questions relating to a comparison of a selected sample of companies actively realising research and development with companies engaged merely in production with no innovative processes. On the basis of questionnaire processing and the testing of research questions, a methodology was created for small and medium-sized companies with the use of fuzzy logic facilitating decision-making in the financing of research and development activities with the use of direct and indirect support. Use of the proposed methodology will allow companies to expand sources of financing for the innovation process as an essential part of the competitive battle in the industry in question. The methodology is a significant aid for strategic decision-making in small and medium-sized companies considering the introduction of research, development and innovation. Benefits of this dissertation can be seen not merely on the theoretical and practical level, but also in the area of education.
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The Development of Inverse Heat Conduction Problems Focused on Very Fast Processes in Microscales
Bellerová, Hana ; Jaroš, Michal (referee) ; Dohnal, Mirko (referee) ; Raudenský, Miroslav (advisor)
The inverse heat conduction task is solved to determine boundary condition of the heat equation. This work deals with the ways how to increase the accuracy of the results obtained by solving inverse task based on the Beck sequential algorithm. The work is focused on the boundary condition changing very fast. This boundary condition is determinable with difficulty. It is shown that the placement and the type of the thermocouple play major role in accuracy of the calculation. The frequency of measuring and the discriminability of used devices also play a role as well as the setup of parameters in the inverse task. The election of mentioned parameters is described with regard to the speed of cooling. Knowledge from the theoretical part of the work is applied in the experimental part. The cooling intensity is investigated during spraying of the steel sample by water with nanoparticles Al2O3, TiO2, Fe and MWNT at three different concentrations. The experiments were carried out for three spray heights (40, 100, 160 mm), three flow rates (1, 1.5, 2 kg/min) and two types of the nozzle (full cone and solid jet). Surprisingly, the cooling intensity by using nanofluids is lower about 30% in comparison to the cooling intensity of pure water. But there was an exception. The cooling intensity of 1 wt.% of carbon nanotubes in water falling from the full cone nozzle placed in distance of 100 mm from the steel surface was higher about 174%. Finally, the reasons of the behavior of nanofluids are discussed.
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Modeling of decision-making processes in development projects
Brauner, Roman ; Dohnal, Mirko (referee) ; Saliger, Radomír (referee) ; Pakšiová, Renáta (referee) ; Rejnuš, Oldřich (advisor)
This dissertation focuses on the decision-making models of real estate development companies with a narrower focus on the pre-implementation part, when companies decide what kind of project, in terms of time, technical, financial and risk, they will implement in a given area. The thesis focuses on the real estate market, which is influenced by a number of controllable or uncontrollable factors that have either none or minimal or, on the contrary, a significant impact on a given project. This broad scope is then narrowed down in the thesis to the residential housing market, where the project developers are mainly business entities and the end users of the projects mainly use it for housing. This housing market is associated with both economic and emotional influences that must be considered in the development of a given project. Thus the aim of the thesis is to propose a model of decision-making processes for real estate development companies, which will be based on the analysis of factors influencing the real estate market and the analysis of current methods of decision-making processes, which are incorporated in the individual proposed variants of the model. The resulting model variants are then applied to specific cases of already realized projects.
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CRUDE OIL PREDICTION FOR COMPANIES IN ENERGY DEMANDING PRODUCTION
Vícha, Tomáš ; Dohnal, Mirko (advisor)
The dissertation deals with prediction of crude oil price and is tailor-made for such companies which are heavily crude oil related. The main dissertation target is to make sure that such companies can get ready for price changes and safeguard themselves against negative consequences. Crude oil prices are the main factor which affects prices of such final products as petrol. It is a well known fact that quantitative predictions are not reliable and all those who are forced to real on such vague data set for their decision-making are reluctant to use them. That’s how we would like to have at least the correct trend information. The dissertation introduces some concepts originally developed within artificial intelligence theory for the crude oil predictions. Specifically common sense algorithms and qualitative interpretation of some aspects of theory of chaos are the main contribution towards expanding of available prediction tools described by the dissertation. A systematic analysis of a sequence of qualitative solutions is the key part of the dissertation.
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Fuzzy Model of Investor´s Decision into Photovoltaic Technologies During Pre-Design Phase
Pavlíček, Michal ; Brožová, Helena (referee) ; Čapek, Jan (referee) ; Koráb, Vojtěch (referee) ; Dohnal, Mirko (advisor)
Dissertation deals with fuzzy knowledge base supporting investor’s investment decision into the photovoltaic technologies during pre-design phase, when the engineering solution is not known yet. Probably, majority of investors have particular image about the cost and risk coming from investment into the photovoltaic technologies. However, this image is limited to the restricted knowledge areas of each investor. During the period, when the investor is planning investment into the costly photovoltaic technologies at complex, vague and heavily qualified information about the conditions and risks of investment in the specific region, where the environment is constantly inconsistent and multidimensional, it is possible to solve this complex situation with fuzzy logic. This dissertation is focusing on creation of fuzzy knowledge base with selected installed projects in Europe since 2008 and its use with expert system. Furthermore, is covering the definition and description of the variables, which are included in the investor decision making process. The complete designed architecture of the fuzzy knowledge base is tuned and five projects with different size are tested. The fuzzy knowledge base consists of overall 24 variables and 187 statements.
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