This diploma thesis deals with plastic windows semi-automatic production line in the company RI-Okna. The system of storage, handling and weaknesses of the production line are described. The solution is fleshed out into a technological project, including economic evaluation and technical drawings.

The manufacturing companies are faced to the strong pressure to decrease the production costs. They are therefore forced to optimize the manufacturing processes and to increase their efficiency. The ideal way to increase the productivity is to optimize the manufacture by increasing the efficacy of the equipment, material, working hours and other sources of finding out causes of wasting in production, it means to abolish the causes of making mistakes.

The diploma thesis is focused on the risk evaluation of the proposal for introduction of automated production line in the company Krespo Ltd. The aim of this thesis is to analyze the current situation of the selected company to proposing an automated line including an indication of the benefits of this proposal and the risk evaluation related to the introduction of the line. The first part deals with the theoretical knowledge related to the topic. Subsequently, the processed analytical part, where the company is characterized and there are also analysis of internal and external environment, including SWOT analysis. The last part deals with the proposal for introduction of automated line, its benefits and risk evaluation associated with its introduction in the company.

Reliable results are crucial when working with medical decision support systems. A decision support system should be reliable but also be interpretable, i.e. able to show how it has inferred its conclusions. In this thesis, the preprocessing perceptron is presented as a simple but effective and efficient analysis method to consider when creating medical decision support systems. The preprocessing perceptron has the simplicity of a perceptron combined with a performance comparable to the multi-layer perceptron. The research in this thesis has been conducted within the fields of medical informatics and intelligent computing. The original idea of the production line as a tool for a domain expert to extract information, build decision support systems and integrate them in the existing system is described. In the introductory part of the thesis, an introduction to feed-forward neural networks and fuzzy logic is given as a background to work with the preprocessing perceptron. Input to a decision support system is crucial and it is described how to gather a data set, decide how many and what kind of inputs to use. Outliers, errors and missing data are covered as well as normalising of the input. Training is done in a backpropagation-like manner where the division of the data set into a training and a test set can be done in several different ways just as the training itself can have variations. Three major groups of methods to estimate the discriminance effect of the preprocessing perceptron are described and a discussion of the trade-off between complexity and approximation strength are included. Five papers are presented in this thesis. Case studies are shown where the preprocessing perceptron is compared to multi-layer perceptrons, statistical approaches and other mathematical models. The model is extended to a generalised preprocessing perceptron and the performance of this new model is compared to the traditional feed-forward neural networks. Results concerning the preprocessing layer and its connection to multivariate decision limits are included. The well-known ROC curve is described and introduced fully into the field of computer science as well as the improved curve, the QROC curve. Finally a tutorial to the program trainGPP is presented. It describes how to work with the preprocessing perceptron from the moment when a data file is provided to the moment when a new decision support system is built.

The effective use of information system MES (Manufacturing Execution System) in the food company is the main topic of this master's thesis. The modularly built system provides valuable support of the production process on operational level. The thesis concentrates on the analysis of already implemented standard solution in the company's factory. Main goal is to propose expansion of the functioning area to the already existing solution, aiming for effective use of energy resources. It was necessary, in order to be able to achieve the goal, to get familiar with the complex corporate IT/ICT construction in alignment with the company's energy concept. The proposed solution is leaning on application of internal MES project methodology, leading to exact specification of energy component in the factory production frame. The thesis conclusions, besides the proposed solution itself should serve as an argument about the efficiency of starting MES system in other production factories of the company.

The thesis focuses on the study of the effectiveness of the production line in selected company. The aim of this work is to find bottlenecks in production and provide solutions to find time savings. The production line was analysed in terms of time efficiency and the results of the analysis are countermeasures to increase time efficiency of the production line.

This master thesis deals with the design of an automated solution for egg palletizing line. The first part analyzes the current production method together with possible ways of automating the palletization process. In the second part, based on this information, the concept of the line is created. The concept includes design of the gripping mechanism, selection of a suitable manipulator and description of all elements. The third part describes complete electrical project. The fourth part describes the control system and the user program including visualization. Finally, commissioning is described.

This thesis deals with the design of a lean manufacturing process with the main focus on the modification of the production layout of the heat pump production line, at Daikin Device Czech Republic s.r.o. In the introductory part of the thesis, the theoretical background is elaborated and then the company is introduced briefly. The next part analyzes the currently produced models, production processes, the line in terms of current layout and finally the process times. Based on these analyzes, a new layout of the production line and storage space is presented. In the next part of the thesis, the conditions of implementation are defined. The final part evaluates the benefits of this work based on the real results that the new layout resulted in.

This work is focused on solving problems in Industry 4.0. Main part of this work describes development of a discreet simulation model based on queuing theory. This model will be used for a heuristic optimization of a production line. Model will be validated with data from real production line. Improvement of effectivity using discrete model and heuristic optimization will be shown on virtual production line.

This master’s thesis focuses on rationalization of production line for plastic windows production in RI OKNA a.s. (Inc.). Evaluation of production line’s current estate is being done as well as weak point detection. On these bases some new variations for improvement are being suggested. The winning variation is drown up into the technological project and put through an economical evaluation.