| dc.description.abstract | Bosch is a global company which pervades in over 60 countries around the world. Its operations
are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer
Goods and Energy and Building Technology.
Bosch Powertrain Solutions plant in Dong Nai manufactures continuously variable transmission
pushbelts (CVT pushbelt). The company started the production in 2008 and in its first year of
operation, it produced 1.6 million pushbelts. By March 2018, the production of Bosch plant in
Dong Nai has been more than 25 million CVT pushbelts.
Having manufactured a wide range and a vast number of pushbelts to satisfy customer demand,
machinery breakdown is just “common sense”. However, it is considered as one of the most
substantial losses of the plant.
The purpose of this thesis is to predict equipment breakdowns and failures based on machine
learning model stacking which would be a great facilitator of fault detection and further decisionmaking. | en_US |
