Automated data acquisition from machines, assembly and test lines become easier and more common with the widespread use of automation in production plants. Automatically collected data gives more accurate and simultaneous information than manually collected data, but automatically collected and stored data does not efficiently converted into knowledge. This study done in a factory, which works in the industrial technology area, belongs to an international company. The purpose of this study is to determine the station occupancy in the assembly line and to optimize the assembly line operations by using statistical analysis methods with the data, which were automatically received from an assembly line. Method and time measurements implemented, after the assembly line set up and serial production were begin. Method and time measurements implemented on sample selected product types, due to wide range of the product type variety to reduce possible costs and time waste in case of using all the product types as inputs of the same method-time studies. Automatically collected data analyzed and the station occupancy, station base occupancy differences revealed in comparison with method-time measurement results, process capability of these operations done to optimize process improvements and presented to the decision maker.
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