This master’s thesis “Optimization of accounting Processes in the Company” is focusing on improving main processes in the company. This thesis is divided into theoretical part which contains theoretical terms connected with the optimization of processes in the company, into analytical part which describes current situation in the company and problems analyzing and into design part which contains concept of solutions of the main processes improvement. These amendments should lead to increased effectiveness of main processes.

This diploma thesis is focused on basic parts of internal control systems in modern companies and its interaction among them. It expains main control mechanisms, approach to risk management and impact of Sarbanes-Oxley Act on internal controls. Application part describes actualisation, testing and validation of internal controls in Sarbanes-Oxley 404 Annex 4 form.

The content of this diploma thesis is an analysis of the current state of the LEM development team in SolarWinds Czech, Ltd., which will lead to changes proposal for increasing the efficiency of development and improvement of the current situation. The main objective of the thesis is to increase integration between software used in LEM development team and selection of the new software for collaborative version control. In the practical part are used facts from the analytical part to upgrade the document management software, finding a suitable tool for team communication and implementation of new versioning system and subsequent mutual integration with the software for project management, bug and issue tracking.

This diploma thesis is focused on change management by Lewin’s model, which split the change process into three phases: unfreeze, realization and refreeze. In the monitored company Regionální poradenská agentura, s.r.o. will be proposed change of management system, which will be solved by the project. This project will be aimed at making basic management process more efficient: planning, organization, leading and control. During the drafting will be emphasized importance human resource management.

This thesis focuses on test management tools and automated testing. The project covers analysis of existing open source tools and proposes its own BDD orientated test management tool in the form of a web service. The project aims to specify and design this application based on the process of Behaviour driven development. The resulting application TestBuDDy allows for test library management. Changes on the test library are projected onto a remote repository of software under test (SUT) and triggers a test run (the test library is being run against SUT by the BDD framework). TestBuDDy is able to save the test run results, parse them into a report and generate and group found issues. The application also allows requirement management and user management. The application is integrated with the CI/CD tool Gitlab CI, the BDD framework JBehave and the issue tracker JIRA. The application is designed to help testers during their work and also to be expandable within the open source community.

This diploma thesis deals with the issue of risk detection in conflicts when releasing a new version in customer environments. This thesis deals with the knowledge areas of project management according to the current PMI standard, where one of the areas of risk management is described in more detail. Theoretical knowledge is applied in the practical part when specifying the requirements and design of the tool. The following sections describe the implementation and testing procedure.

This master's thesis deals with an assessment of specific information system of the Red Hat Inc. company, and consequent suggestions of potential changes. The thesis is divided into three parts. The introductory one is focused on theoretical knowledge which together with performed analysis has become a fundamental base for the system assessment and suggestions of changes leading to process improvements.

This thesis on "Design of an information system" suggests solutions for company knowledge management support with advance documents registration for better inform employees and customers. It analyzes existing information system and whole knowledge management as a part of it. Thesis defines business processes connected with knowledge and information, so whole this part of the system for their support too.

The diploma thesis deals with an implementation of three subsystems into one integrated system. That includes a quality management system, an enviromental system and a health and safety system transfered to the practice of a commercial company with a construction activity. The diploma thesis describes a management function by chapters of appropriate standards and a suggestion of QMS, EHS and HSMS integrated management system manual.

Decentralised power systems with a high portion of power generated from renewable energy sources and cogeneration units (CHP) are emerging worldwide. Optimising the energy usage of such systems is a difficult task as the stochastic fluctuations of generation from renewable sources, the coupling of electrical and thermal power generation by CHP and the time dependence of necessary storage devices require new approaches. Evolutionary algorithms are able to solve the optimisation task of the energy management. They use the principles of erroneous replication and cumulative selection that can be observed in biological processes, too. Very often recombination is included in the optimisation process. Using these quite simple principles the algorithm is able to explore difficult, large and high dimensional solution spaces. It will converge to the optimal solution in most of the cases quite fast, compared to other types of optimisation algorithms. At the example of an one dimensional replicator it is derived that the convergence speed in optimising convex functions increases by several orders of magnitude even after a few cycles compared to Monte-Carlo-simulation. For several types of equipment models are developed in this work. The cost to operate a given power system for a given time span is chosen as objective function. There is a variety of parameters (more than 15) that can be set in the algorithm. With quite extensive investigations it could be shown that the product of number of replicators and the number of calculated cycles has the most important influence on the quality of the solution but the calculation time is also proportional to this number. If there are reasonable values chosen for the remaining parameters the algorithm will find appropriate solutions in adequate time in most of the cases. Although a pure evolutionary algorithm will converge to a solution the convergence speed can be greatly enhanced by extending it to a hybrid algorithm. Grouping the replicators of the first cycle in suggestive regions of the solution space by an intelligent initialisation algorithm and repairing bad solutions by introducing a Lamarckian repair algorithm makes the optimisation converge fast to good optima. The algorithm was tested using data of several existing energy systems of different structure. To optimise the energy usage in a power system with 15 different types of units the required computation time is in the range of 15 minutes. The results of this work show that extended hybrid evolutionary algorithms are suitable for integrated optimisation of energy usage in combined local energy systems. They reach better results with the same or less effort than many other optimisation methods. The developed method of optimisation of energy usage can be applied in energy systems of small and large size and complexity as optimisation computations of energy systems on the island of Cape Clear, at FH Offenburg and in the Allgäu demonstrate.