National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Early Warning System for recording outages from the assembly line
Makovičková, Lucie ; Zuth, Daniel (referee) ; Maradová, Karla (advisor)
The bachelor's thesis on a topic “Early Warning System for recording outages from the assembly line“ aims to update assembly line outages, thanks to what the work gained a good motive to present the Early Warning System process in practice, in the company Bosch Diesel s.r.o. Jihlava, where this update of assembly line outages takes place. The work first introduces the high-pressure pumps and their assembly lines, which are the most connected to the system. Then the basic elements of the system are described, and the Power BI system is defined. The practical part explains way of collecting the necessary data for outages updating and how the Early Warning System gets the information about outage during the installation of a high-pressure pump on the assembly line to the higher responsible persons. Subsequently, thanks to the obtained statistical overview of all outages and to the performed visualizations in the Power BI system, the knowledge is evaluated.
Early Warning System for recording outages from the assembly line
Makovičková, Lucie ; Zuth, Daniel (referee) ; Maradová, Karla (advisor)
The bachelor's thesis on a topic “Early Warning System for recording outages from the assembly line“ aims to update assembly line outages, thanks to what the work gained a good motive to present the Early Warning System process in practice, in the company Bosch Diesel s.r.o. Jihlava, where this update of assembly line outages takes place. The work first introduces the high-pressure pumps and their assembly lines, which are the most connected to the system. Then the basic elements of the system are described, and the Power BI system is defined. The practical part explains way of collecting the necessary data for outages updating and how the Early Warning System gets the information about outage during the installation of a high-pressure pump on the assembly line to the higher responsible persons. Subsequently, thanks to the obtained statistical overview of all outages and to the performed visualizations in the Power BI system, the knowledge is evaluated.

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