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The main aim of this work was to rate the usage of selected logistic methods and introduction of the operating system Kanban to the production line in the project {\clqq}C214 Top Roll`` of the company Faurecia Automotive Czech Republic, s.r.o, Interior Systems. A minor aim then was to find out the knowledge level of the Kanban method. Methodics Hypotheses: 1.The logistic flows used in the Faurecia company already function sufficiently enough, the proof of which is the stabilised production. 2.Using the operating system Kanban for functioning production, logistics and the whole company Faurecia is rather advantageous. 3.Training all the employees is a vital part in the process of introducing the operating system Kamban. Methods: deducion, situation analysis - collection of information,interviews, survey, questioning brief, modeling Structure of the practical part is following: company profile, character of pruduction and setting of the main logistical flows, determination of zones and stock sectors, process implementation and using of Kanban in the production line "C214 Top Roll". The first hypothesis can be confirmed by the situational analysis which evaluates the processing and logistic method. The individual methods {\clqq}met`` or {\clqq}nearly met`` the demands and because all the methods together partake of the production and the production has provided very good results in the previous months, we can consider the production being stabilised. The second can also be affirmed. If the production on a particular assembly line is stabilised, it is possible to introduce the Kanban method. Why not to use it if a there is a great advantage of this method in simplicity and lower production supplies which result in decreasing the total costs? It is beneficial for all participating on the production and for the Faurecia company as a whole. Third hypothesis can be confirmed as well. There has been a survey based on short questionaires and the knowledge of working and using the Kanban has been found inadequate. The best form of providing all the important information will be a training as a part of the process of introducing and using the Kanban method. Both aims have been resulted in stating possible recommendations and improvement suggestions: - production is stabilized, Kanban is possible to apply on 1.9. 2008 - training is necessary, meeting of responsible persons, control, messing, measures, - training of current and new workers, - motivation, communication improve, - system of regural records about information and control of chief (material and production planning)

Tendency of this diploma thesis is to find cost of economies through the device of lean production. On the basis of more than fourmonth monitoring and classification was specificated the problem, which is solved by implementation devices of lean production. Thanks these devices would be cut the bussines costs and salary and helps to do One piece flow too.

<div>The manufacturing industry has begun its transition into a digital age, where data-driven decisions aim to improve product quality, output, and efficiency. Decisions made based on manufacturing data can help identify key problem areas in an assembly line and mitigate any defects from progressing through to the next step in the assembly process. But what if the products’ as manufactured data was inaccurate or didn’t exist at all? Decisions based on incorrect data can lead to defective parts being passed as good parts, costing manufacturers millions of dollars in rework or recalls. When specifically referring to mechanically fastened assemblies, products that experience rotation, like an aircraft propeller, or compress to create a seal, like an oil pipe flange, all require specific torque pattern sequences to be followed during assembly. When incorrectly torqued, the parts can have catastrophic failures resulting in consumer injury or ecological contamination. This paper outlines the development and feasibility of a system and its components for tracking and error-proofing the assembly of bolted joints in an industrial environment.</div><div>Using a machine vision system, the system traces the tool location relative to the mechanical fastener and records which order the fasteners were torqued in, if an error is detected, the system does not allow the user to progress through the assembly process, notifying if an error is detected. The system leverages open source machine learning algorithms from TensorFlow2 and OpenCv, that allow efficient object detection model training. The proposed system was tested using a series of tests and evaluated using the STEP method. The data collected aims to understand the system's feasibility and effectiveness in an industrial setting. </div><div>The tests aim to understand the effectiveness of the system under standard and variable industrial work conditions. Using the STEP method and other statistical analysis, an evaluation matrix was completed, ranking the system's ability to successfully meet all predetermined benchmarks and successfully record the torque pattern used to assemble apart</div>

This master´s thesis describes the production process in Japanese enterprise Daikin Device Czech Republic s.r.o. with emphasis on the production schedule, equipment and manufacturing system with elements of lean production. According to the production process analysis at the given production line a new solution of the production process has been suggested to increase production efficiency. This conception has been implemented and compared to the production process before, as well as to the assumed production process after increasing the efficiency.