Predictions of market values are important for investment decisions and risk management of banking institutions, developers and, last but not least, households. Increased access to real estate market data and reducing valuatin costs were one of the most important reasons to be interested in developing and subsequent using of automated valuation models (AVM) worldwide. However, the implementation of AVM in the Czech Republic is still limited to a minimum. The aim of the thesis is to theoretically describe some alternative statistical methods used by AVM, such as fuzzy logic, ANN, spatial econometrics or hedonic models, characterize AVM, their use and analyze their current application in the Czech Republic and outline further possible development.

The thesis provides financial and strategic analysis of the brewery Pivovar Svijany a.s. as a basis for subsequent valuation of the company. It provides a basis for choosing appropriate valuation methods and data for their subsequent application. The thesis is divided into four parts; the first part provides basic information about the company, its history and its activities. The second part analyses the financial health of the company by financial statement analysis and ratios analysis. The results of the company are then compared with competitors in the same industry. The third part is devoted to strategic analysis; it defines the relevant market in terms of volume and values. It provides alternative forecast scenarios of market development. It arrives to the projections of revenues of Svijany by synthesis and analysis of market forecasts and forecasts of competitive power. The final section summarizes the results of financial and strategic analysis.

The aim of this semestral thesis is to use the Value Stream Mapping (VSM) as visual aids to describe streamlining the production process of vibration welding machines in Emerson Industrial Automation, in Nove Mesto nad Vahom. In this thesis is contained description and comparison of the software support for the VSM. Theoretical part describes the causes of lean production and discusses the purpose of mapping of the value stream and variables associated with it.

Investment decision in the property market is closely connected to property valuation. Thus, accuracy of valuation results and deep analysis of the market is essential. Artificial Intelligence (AI) models have been successfully adopted in different fields and markets. However, the real estate market is typically lagged in time to adapt to these changes. Swedish commercial property market arrangements are characterized by increasing confidentiality of certain data types. As a consequence, the adoption of the AI valuation models in the Swedish commercial property market is slowed down.  This study aims to bridge the gap in existing research by focusing on the market actor’s behavior in relation to market development and exploiting the capabilities inherent in adopting AI models in commercial property valuations.  The qualitative approach based on interviews with experts has been used to achieve the main objective of this study. Results suggest that the AI valuation models used on commercial properties are applied on valuation data and not on real transaction data. Analysis covers different aspects including data challenges and its disclosure, the role of government authorities, market and data perspectives of AI application on property valuations. A framework on AI implication in property valuation in different time horizons presented in this study will help to overcome data challenges and improve transparency of valuation results. This study is beneficial to various actors in the property market, including government authorities, investors, valuers and researchers. / Investeringsbeslut på fastighetsmarknaden är sammankopplat till fastighetsvärdering. Således är noggrannhet i värderingsresultat och en djup marknadsanalys nödvändiga. Artificiell intelligens (AI) modeller applicerades framgångsrikt inom olika områden och marknader. Fastighetsmarknaden är dock försenad i tid för att anpassa sig till dessa förändringar. Svenskt kommersiellt fastighetsmarknadsarrangemang är känd för ökad sekretess för vissa datatyper. Som en följd av detta minskar adopteringen av AI-värderingsmodeller på den svenska kommersiella fastighetsmarknaden. Denna studie syftar på att fylla i gapet i befintlig forskning genom att fokusera på marknadsaktörens beteende i förhållande till marknadsutveckling och utnyttja de möjligheter som ligger i adopteringen av AI-modeller i kommersiella fastighetsvärderingar.Den kvalitativa metoden baserad på intervjuer med experter har använts för att uppnå huvudmålet för denna studie. Resultaten tyder på att AI-värderingsmodellerna som används på kommersiella fastigheter tillämpas på värderingsdata och inte på transaktionsdata. Analysen täcker olika aspekter, inklusive datautmaningar och dess avslöjande, myndigheternas roll, marknads- och dataperspektiv för AI-tillämpning på fastighetsvärderingar. Ett ramverk för AI-implikationer i fastighetsvärdering inom olika tidshorisonter som presenteras i denna studie kommer att hjälpa till att överkomma datautmaningar och förbättra transparensen i värderingsresultaten. Denna studie är nyttig för olika aktörer på fastighetsmarknaden, inklusive myndigheter, investerare, värderare och forskare.

The thesis deals with the valuation of the house, including land and all accessories under various conditions. The theoretical part explains the basic terminology and summarises the valuation methods used in this thesis. The practical part begins with the valuation of the house and land including all accessories, according to Ordinance for Valuation and Market Valuation Methods, specifically the Asset Value Method and the Comparative Method. The next section considers the existence of a life-use easement by a co-owner of part of the house, gardens and common areas, and sets the value of the property burdened by this easement. At the end, the property is valued as two separate apartments. All costs necessary to achieve the income from rent and property redevelopment are estimated, as well as the net annual return which would result from letting the two apartments. Final assessment of the benefit of the project is implemented through an Economic Rent Method and its comparison with the annual rent income.

The diploma thesis focuses on a market analysis of a selected segment of a residential market and subsequently estimates the value of a real property from that segment. The aim of this work is to apply the analysis's conclusions to the appraisal of a family house and assess the extent in which the administrative value of the house approximates its market value. The introductory part explains the most important concepts and methods used. The core part is divided into two parts -- market analysis and the appraisal itself. The market analysis is based on a top-down method that first concentrates on a macroeconomic situation of the economy and then on a selected segment of the real estate market. Value of a chosen real property -- a family house -- is estimated using four different methods: administrative costs approach, administrative comparison approach, reproduction costs approach (market based) and sales comparison approach. In its conclusion the thesis evaluates current perspectives of family houses' market and based on results of methods used estimates the final market value of the chosen real estate.