Value Stream Mining in automotive industry company
of executions show non-standard movements
increase in lead time due to unexpected executions
of AGVs show a performance below what is expected
Automotive industry company
Analysis of repetitions and non-expected activities in the production line
Our client was an automotive company looking to optimize the movement patterns of their AGVs (mobile robots) as well as identify inefficiencies in the manufacturing process.
To find non-optimal patterns in the movement of the AGVs (mobile robots) and identify re-work in the manufacturing process
We analyzed more than 30.000 events from the AGVs and 800.000 manufacturing events gathered in a month and segmented the data by production line, vehicle brand and family to identify the errors.
We identified and quantified errors in the control of automatic vehicles
Identified differences by shift and equipment.
Location of areas within the plant that caused bottlenecks in the motion of the automatic vehicles.
Segmentation of the causes of the repetition of activities in the Paint section according to vehicle families and end customer request.